Coverage Report

Created: 2026-07-12 10:45

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
be/src/exec/scan/file_scanner.cpp
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// Licensed to the Apache Software Foundation (ASF) under one
2
// or more contributor license agreements.  See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership.  The ASF licenses this file
5
// to you under the Apache License, Version 2.0 (the
6
// "License"); you may not use this file except in compliance
7
// with the License.  You may obtain a copy of the License at
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//
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//   http://www.apache.org/licenses/LICENSE-2.0
10
//
11
// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
13
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
14
// KIND, either express or implied.  See the License for the
15
// specific language governing permissions and limitations
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// under the License.
17
18
#include "exec/scan/file_scanner.h"
19
20
#include <fmt/format.h>
21
#include <gen_cpp/Exprs_types.h>
22
#include <gen_cpp/Metrics_types.h>
23
#include <gen_cpp/Opcodes_types.h>
24
#include <gen_cpp/PaloInternalService_types.h>
25
#include <gen_cpp/PlanNodes_types.h>
26
#include <glog/logging.h>
27
28
#include <algorithm>
29
#include <boost/iterator/iterator_facade.hpp>
30
#include <map>
31
#include <ranges>
32
#include <tuple>
33
#include <unordered_map>
34
#include <utility>
35
36
#include "common/cast_set.h"
37
#include "common/compiler_util.h" // IWYU pragma: keep
38
#include "common/config.h"
39
#include "common/consts.h"
40
#include "common/logging.h"
41
#include "common/status.h"
42
#include "core/block/column_with_type_and_name.h"
43
#include "core/block/columns_with_type_and_name.h"
44
#include "core/column/column.h"
45
#include "core/column/column_nullable.h"
46
#include "core/column/column_vector.h"
47
#include "core/data_type/data_type.h"
48
#include "core/data_type/data_type_nullable.h"
49
#include "core/data_type/data_type_string.h"
50
#include "core/string_ref.h"
51
#include "exec/common/stringop_substring.h"
52
#include "exec/rowid_fetcher.h"
53
#include "exec/scan/scan_node.h"
54
#include "exprs/aggregate/aggregate_function.h"
55
#include "exprs/function/function.h"
56
#include "exprs/function/simple_function_factory.h"
57
#include "exprs/vexpr.h"
58
#include "exprs/vexpr_context.h"
59
#include "exprs/vexpr_fwd.h"
60
#include "exprs/vslot_ref.h"
61
#include "format/arrow/arrow_stream_reader.h"
62
#include "format/count_reader.h"
63
#include "format/csv/csv_reader.h"
64
#include "format/json/new_json_reader.h"
65
#include "format/native/native_reader.h"
66
#include "format/orc/vorc_reader.h"
67
#include "format/parquet/vparquet_reader.h"
68
#include "format/table/es/es_http_reader.h"
69
#include "format/table/hive_reader.h"
70
#include "format/table/hudi_jni_reader.h"
71
#include "format/table/hudi_reader.h"
72
#include "format/table/iceberg_reader.h"
73
#include "format/table/iceberg_sys_table_jni_reader.h"
74
#include "format/table/jdbc_jni_reader.h"
75
#include "format/table/max_compute_jni_reader.h"
76
#include "format/table/paimon_cpp_reader.h"
77
#include "format/table/paimon_jni_reader.h"
78
#include "format/table/paimon_predicate_converter.h"
79
#include "format/table/paimon_reader.h"
80
#include "format/table/partition_column_filler.h"
81
#include "format/table/remote_doris_reader.h"
82
#include "format/table/transactional_hive_reader.h"
83
#include "format/table/trino_connector_jni_reader.h"
84
#include "format/text/text_reader.h"
85
#include "io/cache/block_file_cache_profile.h"
86
#include "load/group_commit/wal/wal_reader.h"
87
#include "runtime/descriptors.h"
88
#include "runtime/runtime_profile.h"
89
#include "runtime/runtime_state.h"
90
91
namespace cctz {
92
class time_zone;
93
} // namespace cctz
94
namespace doris {
95
class ShardedKVCache;
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} // namespace doris
97
98
namespace doris {
99
using namespace ErrorCode;
100
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const std::string FileScanner::FileReadBytesProfile = "FileReadBytes";
102
const std::string FileScanner::FileReadTimeProfile = "FileReadTime";
103
104
FileScanner::FileScanner(RuntimeState* state, FileScanLocalState* local_state, int64_t limit,
105
                         std::shared_ptr<SplitSourceConnector> split_source,
106
                         RuntimeProfile* profile, ShardedKVCache* kv_cache,
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                         const std::unordered_map<std::string, int>* colname_to_slot_id)
108
2.52k
        : Scanner(state, local_state, limit, profile),
109
2.52k
          _split_source(split_source),
110
2.52k
          _cur_reader(nullptr),
111
2.52k
          _cur_reader_eof(false),
112
2.52k
          _kv_cache(kv_cache),
113
2.52k
          _strict_mode(false),
114
2.52k
          _col_name_to_slot_id(colname_to_slot_id) {
115
2.52k
    if (state->get_query_ctx() != nullptr &&
116
2.52k
        state->get_query_ctx()->file_scan_range_params_map.count(local_state->parent_id()) > 0) {
117
1
        _params = &(state->get_query_ctx()->file_scan_range_params_map[local_state->parent_id()]);
118
2.52k
    } else {
119
        // old fe thrift protocol
120
2.52k
        _params = _split_source->get_params();
121
2.52k
    }
122
2.52k
    if (_params->__isset.strict_mode) {
123
2.52k
        _strict_mode = _params->strict_mode;
124
2.52k
    }
125
126
    // For load scanner, there are input and output tuple.
127
    // For query scanner, there is only output tuple
128
2.52k
    _input_tuple_desc = state->desc_tbl().get_tuple_descriptor(_params->src_tuple_id);
129
2.52k
    _real_tuple_desc = _input_tuple_desc == nullptr ? _output_tuple_desc : _input_tuple_desc;
130
2.52k
    _is_load = (_input_tuple_desc != nullptr);
131
2.52k
    _configure_file_scan_handlers();
132
2.52k
}
133
134
2.55k
void FileScanner::_configure_file_scan_handlers() {
135
2.55k
    if (_is_load) {
136
2.52k
        _init_src_block_handler = &FileScanner::_init_src_block_for_load;
137
2.52k
        _process_src_block_after_read_handler =
138
2.52k
                &FileScanner::_process_src_block_after_read_for_load;
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2.52k
        _should_push_down_predicates_handler = &FileScanner::_should_push_down_predicates_for_load;
140
2.52k
        _should_enable_condition_cache_handler =
141
2.52k
                &FileScanner::_should_enable_condition_cache_for_load;
142
2.52k
    } else {
143
33
        _init_src_block_handler = &FileScanner::_init_src_block_for_query;
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33
        _process_src_block_after_read_handler =
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33
                &FileScanner::_process_src_block_after_read_for_query;
146
33
        _should_push_down_predicates_handler = &FileScanner::_should_push_down_predicates_for_query;
147
33
        _should_enable_condition_cache_handler =
148
33
                &FileScanner::_should_enable_condition_cache_for_query;
149
33
    }
150
2.55k
}
151
152
2.52k
Status FileScanner::init(RuntimeState* state, const VExprContextSPtrs& conjuncts) {
153
2.52k
    RETURN_IF_ERROR(Scanner::init(state, conjuncts));
154
2.52k
    _get_block_timer =
155
2.52k
            ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), "FileScannerGetBlockTime", 1);
156
2.52k
    _cast_to_input_block_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(),
157
2.52k
                                                      "FileScannerCastInputBlockTime", 1);
158
2.52k
    _fill_missing_columns_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(),
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2.52k
                                                       "FileScannerFillMissingColumnTime", 1);
160
2.52k
    _pre_filter_timer =
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2.52k
            ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), "FileScannerPreFilterTimer", 1);
162
2.52k
    _convert_to_output_block_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(),
163
2.52k
                                                          "FileScannerConvertOuputBlockTime", 1);
164
2.52k
    _runtime_filter_partition_prune_timer = ADD_TIMER_WITH_LEVEL(
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2.52k
            _local_state->scanner_profile(), "FileScannerRuntimeFilterPartitionPruningTime", 1);
166
2.52k
    _empty_file_counter =
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2.52k
            ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), "EmptyFileNum", TUnit::UNIT, 1);
168
2.52k
    _not_found_file_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(),
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2.52k
                                                     "NotFoundFileNum", TUnit::UNIT, 1);
170
2.52k
    _fully_skipped_file_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(),
171
2.52k
                                                         "FullySkippedFileNum", TUnit::UNIT, 1);
172
2.52k
    _file_counter =
173
2.52k
            ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), "FileNumber", TUnit::UNIT, 1);
174
175
2.52k
    _file_read_bytes_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(),
176
2.52k
                                                      FileReadBytesProfile, TUnit::BYTES, 1);
177
2.52k
    _file_read_calls_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(),
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2.52k
                                                      "FileReadCalls", TUnit::UNIT, 1);
179
2.52k
    _file_read_time_counter =
180
2.52k
            ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), FileReadTimeProfile, 1);
181
182
2.52k
    _runtime_filter_partition_pruned_range_counter =
183
2.52k
            ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(),
184
2.52k
                                   "RuntimeFilterPartitionPrunedRangeNum", TUnit::UNIT, 1);
185
    // Keep the current file's adaptive state while also preserving the peak value across all
186
    // files handled by this scanner instance.
187
2.52k
    _adaptive_batch_predicted_rows_counter =
188
2.52k
            _local_state->scanner_profile()->AddHighWaterMarkCounter(
189
2.52k
                    "AdaptiveBatchPredictedRows", TUnit::UNIT, RuntimeProfile::ROOT_COUNTER, 1);
190
2.52k
    _adaptive_batch_actual_bytes_before_truncate_counter =
191
2.52k
            _local_state->scanner_profile()->AddHighWaterMarkCounter(
192
2.52k
                    "AdaptiveBatchActualBytesBeforeTruncate", TUnit::BYTES,
193
2.52k
                    RuntimeProfile::ROOT_COUNTER, 1);
194
2.52k
    _adaptive_batch_actual_bytes_after_truncate_counter =
195
2.52k
            _local_state->scanner_profile()->AddHighWaterMarkCounter(
196
2.52k
                    "AdaptiveBatchActualBytesAfterTruncate", TUnit::BYTES,
197
2.52k
                    RuntimeProfile::ROOT_COUNTER, 1);
198
2.52k
    _adaptive_batch_probe_count_counter = ADD_COUNTER_WITH_LEVEL(
199
2.52k
            _local_state->scanner_profile(), "AdaptiveBatchProbeCount", TUnit::UNIT, 1);
200
201
2.52k
    _file_cache_statistics.reset(new io::FileCacheStatistics());
202
2.52k
    _file_reader_stats.reset(new io::FileReaderStats());
203
204
2.52k
    RETURN_IF_ERROR(_init_io_ctx());
205
2.52k
    _io_ctx->file_cache_stats = _file_cache_statistics.get();
206
2.52k
    _io_ctx->file_reader_stats = _file_reader_stats.get();
207
2.52k
    _io_ctx->is_disposable = _state->query_options().disable_file_cache;
208
209
2.52k
    if (_is_load) {
210
2.51k
        _src_row_desc.reset(new RowDescriptor(_state->desc_tbl(),
211
2.51k
                                              std::vector<TupleId>({_input_tuple_desc->id()})));
212
        // prepare pre filters
213
2.51k
        if (_params->__isset.pre_filter_exprs_list) {
214
6
            RETURN_IF_ERROR(doris::VExpr::create_expr_trees(_params->pre_filter_exprs_list,
215
6
                                                            _pre_conjunct_ctxs));
216
2.51k
        } else if (_params->__isset.pre_filter_exprs) {
217
0
            VExprContextSPtr context;
218
0
            RETURN_IF_ERROR(doris::VExpr::create_expr_tree(_params->pre_filter_exprs, context));
219
0
            _pre_conjunct_ctxs.emplace_back(context);
220
0
        }
221
222
2.51k
        for (auto& conjunct : _pre_conjunct_ctxs) {
223
8
            RETURN_IF_ERROR(conjunct->prepare(_state, *_src_row_desc));
224
8
            RETURN_IF_ERROR(conjunct->open(_state));
225
8
        }
226
227
2.51k
        _dest_row_desc.reset(new RowDescriptor(_state->desc_tbl(),
228
2.51k
                                               std::vector<TupleId>({_output_tuple_desc->id()})));
229
2.51k
    }
230
231
2.52k
    _default_val_row_desc.reset(
232
2.52k
            new RowDescriptor(_state->desc_tbl(), std::vector<TupleId>({_real_tuple_desc->id()})));
233
234
2.52k
    return Status::OK();
235
2.52k
}
236
237
2.52k
bool FileScanner::_should_enable_adaptive_batch_size(TFileFormatType::type format_type) const {
238
    // Only enable for readers that support set_batch_size().
239
    // Table-format wrappers are covered because they delegate to native readers.
240
2.52k
    if (!config::enable_adaptive_batch_size) {
241
7
        return false;
242
7
    }
243
2.51k
    switch (format_type) {
244
21
    case TFileFormatType::FORMAT_PARQUET:
245
32
    case TFileFormatType::FORMAT_ORC:
246
2.01k
    case TFileFormatType::FORMAT_CSV_PLAIN:
247
2.01k
    case TFileFormatType::FORMAT_CSV_GZ:
248
2.01k
    case TFileFormatType::FORMAT_CSV_BZ2:
249
2.01k
    case TFileFormatType::FORMAT_CSV_LZ4FRAME:
250
2.01k
    case TFileFormatType::FORMAT_CSV_LZ4BLOCK:
251
2.01k
    case TFileFormatType::FORMAT_CSV_LZOP:
252
2.01k
    case TFileFormatType::FORMAT_CSV_DEFLATE:
253
2.01k
    case TFileFormatType::FORMAT_CSV_SNAPPYBLOCK:
254
2.09k
    case TFileFormatType::FORMAT_PROTO:
255
2.09k
    case TFileFormatType::FORMAT_TEXT:
256
2.50k
    case TFileFormatType::FORMAT_JSON:
257
2.50k
    case TFileFormatType::FORMAT_JNI:
258
2.50k
        return true;
259
11
    default:
260
11
        return false;
261
2.51k
    }
262
2.51k
}
263
264
21.0k
bool FileScanner::_should_run_adaptive_batch_size() const {
265
    // Skip adaptive batch sizing for pushed-down COUNT(*): the reader is wrapped by CountReader
266
    // and only emits a single aggregated row count instead of materializing real columns, so
267
    // there is no per-row byte cost to learn from and no benefit in tuning the batch size.
268
21.0k
    return _block_size_predictor != nullptr && _get_push_down_agg_type() != TPushAggOp::type::COUNT;
269
21.0k
}
270
271
7.56k
void FileScanner::_reset_adaptive_batch_size_state() {
272
7.56k
    _block_size_predictor.reset();
273
7.56k
    COUNTER_SET(_adaptive_batch_predicted_rows_counter, int64_t(0));
274
7.56k
    COUNTER_SET(_adaptive_batch_actual_bytes_before_truncate_counter, int64_t(0));
275
7.56k
    COUNTER_SET(_adaptive_batch_actual_bytes_after_truncate_counter, int64_t(0));
276
7.56k
}
277
278
2.52k
void FileScanner::_init_adaptive_batch_size_state(TFileFormatType::type format_type) {
279
2.52k
    _reset_adaptive_batch_size_state();
280
2.52k
    if (!_should_enable_adaptive_batch_size(format_type)) {
281
18
        return;
282
18
    }
283
284
    // External file readers do not provide reliable memory-size metadata hints. Use a small probe
285
    // batch so the predictor can learn from real FileScanner output quickly.
286
2.50k
    _block_size_predictor = std::make_unique<AdaptiveBlockSizePredictor>(
287
2.50k
            _state->preferred_block_size_bytes(), 0.0, ADAPTIVE_BATCH_INITIAL_PROBE_ROWS,
288
2.50k
            _state->batch_size());
289
2.50k
}
290
291
8.57k
size_t FileScanner::_predict_reader_batch_rows() {
292
8.57k
    DCHECK(_block_size_predictor != nullptr);
293
8.57k
    size_t predicted_rows = _block_size_predictor->predict_next_rows();
294
8.57k
    COUNTER_SET(_adaptive_batch_predicted_rows_counter, static_cast<int64_t>(predicted_rows));
295
8.57k
    return predicted_rows;
296
8.57k
}
297
298
6.18k
void FileScanner::_update_adaptive_batch_size_before_truncate(const Block& block) {
299
6.18k
    if (!_should_run_adaptive_batch_size()) {
300
102
        return;
301
102
    }
302
303
    // Learn from the logical bytes before CHAR/VARCHAR truncation. The truncated block can be
304
    // much smaller than the data the reader and FileScanner have already materialized.
305
6.08k
    COUNTER_SET(_adaptive_batch_actual_bytes_before_truncate_counter,
306
6.08k
                static_cast<int64_t>(block.bytes()));
307
6.08k
    if (block.rows() == 0) {
308
384
        return;
309
384
    }
310
311
    // Count a probe only when we actually obtain the first non-empty sample that seeds history.
312
5.69k
    if (!_block_size_predictor->has_history()) {
313
2.23k
        COUNTER_UPDATE(_adaptive_batch_probe_count_counter, 1);
314
2.23k
    }
315
5.69k
    _block_size_predictor->update(block);
316
5.69k
}
317
318
6.18k
void FileScanner::_update_adaptive_batch_size_after_truncate(const Block& block) {
319
6.18k
    if (!_should_run_adaptive_batch_size()) {
320
102
        return;
321
102
    }
322
323
    // Keep the post-truncate size only for observability. It should not affect the next batch
324
    // because truncation happens after the upstream memory cost has already been paid.
325
6.08k
    COUNTER_SET(_adaptive_batch_actual_bytes_after_truncate_counter,
326
6.08k
                static_cast<int64_t>(block.bytes()));
327
6.08k
}
328
329
// check if the expr is a partition pruning expr
330
0
bool FileScanner::_check_partition_prune_expr(const VExprSPtr& expr) {
331
0
    if (expr->is_slot_ref()) {
332
0
        auto* slot_ref = static_cast<VSlotRef*>(expr.get());
333
0
        return _partition_slot_index_map.find(slot_ref->slot_id()) !=
334
0
               _partition_slot_index_map.end();
335
0
    }
336
0
    if (expr->is_literal()) {
337
0
        return true;
338
0
    }
339
0
    return std::ranges::all_of(expr->children(), [this](const auto& child) {
340
0
        return _check_partition_prune_expr(child);
341
0
    });
342
0
}
343
344
0
bool FileScanner::_contains_runtime_filter(const VExprContextSPtrs& conjuncts) const {
345
0
    return std::ranges::any_of(
346
0
            conjuncts, [](const auto& conjunct) { return conjunct->root()->is_rf_wrapper(); });
347
0
}
348
349
6
void FileScanner::_init_runtime_filter_partition_prune_ctxs() {
350
6
    _runtime_filter_partition_prune_ctxs.clear();
351
6
    for (auto& conjunct : _conjuncts) {
352
0
        auto impl = conjunct->root()->get_impl();
353
        // If impl is not null, which means this a conjuncts from runtime filter.
354
0
        auto expr = impl ? impl : conjunct->root();
355
0
        if (_check_partition_prune_expr(expr)) {
356
0
            _runtime_filter_partition_prune_ctxs.emplace_back(conjunct);
357
0
        }
358
0
    }
359
6
}
360
361
6
void FileScanner::_init_runtime_filter_partition_prune_block() {
362
    // init block with empty column
363
22
    for (auto const* slot_desc : _real_tuple_desc->slots()) {
364
22
        _runtime_filter_partition_prune_block.insert(
365
22
                ColumnWithTypeAndName(slot_desc->get_empty_mutable_column(),
366
22
                                      slot_desc->get_data_type_ptr(), slot_desc->col_name()));
367
22
    }
368
6
}
369
370
6
Status FileScanner::_process_runtime_filters_partition_prune(bool& can_filter_all) {
371
6
    SCOPED_TIMER(_runtime_filter_partition_prune_timer);
372
6
    if (_runtime_filter_partition_prune_ctxs.empty() || _partition_col_descs.empty()) {
373
6
        return Status::OK();
374
6
    }
375
0
    size_t partition_value_column_size = 1;
376
377
    // 1. Get partition key values to string columns.
378
0
    std::unordered_map<SlotId, MutableColumnPtr> partition_slot_id_to_column;
379
0
    for (auto const& partition_col_desc : _partition_col_descs) {
380
0
        const auto& [partition_value, partition_slot_desc] = partition_col_desc.second;
381
0
        auto data_type = partition_slot_desc->get_data_type_ptr();
382
0
        auto partition_value_column = data_type->create_column();
383
0
        auto null_it = _partition_value_is_null.find(partition_slot_desc->col_name());
384
0
        DORIS_CHECK(null_it != _partition_value_is_null.end());
385
0
        RETURN_IF_ERROR(fill_partition_column_from_path_value(
386
0
                *partition_value_column, *partition_slot_desc, partition_value,
387
0
                partition_value_column_size, null_it->second));
388
389
0
        partition_slot_id_to_column[partition_slot_desc->id()] = std::move(partition_value_column);
390
0
    }
391
392
    // 2. Fill _runtime_filter_partition_prune_block from the partition column, then execute conjuncts and filter block.
393
    // 2.1 Fill _runtime_filter_partition_prune_block from the partition column to match the conjuncts executing.
394
0
    size_t index = 0;
395
0
    bool first_column_filled = false;
396
0
    for (auto const* slot_desc : _real_tuple_desc->slots()) {
397
0
        if (partition_slot_id_to_column.find(slot_desc->id()) !=
398
0
            partition_slot_id_to_column.end()) {
399
0
            auto partition_value_column = std::move(partition_slot_id_to_column[slot_desc->id()]);
400
0
            _runtime_filter_partition_prune_block.replace_by_position(
401
0
                    index, std::move(partition_value_column));
402
0
            if (index == 0) {
403
0
                first_column_filled = true;
404
0
            }
405
0
        }
406
0
        index++;
407
0
    }
408
409
    // 2.2 Execute conjuncts.
410
0
    if (!first_column_filled) {
411
        // VExprContext.execute has an optimization, the filtering is executed when block->rows() > 0
412
        // The following process may be tricky and time-consuming, but we have no other way.
413
0
        auto column = IColumn::mutate(
414
0
                std::move(_runtime_filter_partition_prune_block.get_by_position(0).column));
415
0
        column->resize(partition_value_column_size);
416
0
        _runtime_filter_partition_prune_block.replace_by_position(0, std::move(column));
417
0
    }
418
0
    IColumn::Filter result_filter(_runtime_filter_partition_prune_block.rows(), 1);
419
0
    RETURN_IF_ERROR(VExprContext::execute_conjuncts(_runtime_filter_partition_prune_ctxs, nullptr,
420
0
                                                    &_runtime_filter_partition_prune_block,
421
0
                                                    &result_filter, &can_filter_all));
422
0
    return Status::OK();
423
0
}
424
425
1
Status FileScanner::_process_conjuncts() {
426
1
    _slot_id_to_filter_conjuncts.clear();
427
1
    _not_single_slot_filter_conjuncts.clear();
428
1
    for (auto& conjunct : _push_down_conjuncts) {
429
1
        auto impl = conjunct->root()->get_impl();
430
        // If impl is not null, which means this a conjuncts from runtime filter.
431
1
        auto cur_expr = impl ? impl : conjunct->root();
432
433
1
        std::vector<int> slot_ids;
434
1
        _get_slot_ids(cur_expr.get(), &slot_ids);
435
1
        if (slot_ids.empty()) {
436
1
            _not_single_slot_filter_conjuncts.emplace_back(conjunct);
437
1
            continue;
438
1
        }
439
0
        bool single_slot = true;
440
0
        for (int i = 1; i < slot_ids.size(); i++) {
441
0
            if (slot_ids[i] != slot_ids[0]) {
442
0
                single_slot = false;
443
0
                break;
444
0
            }
445
0
        }
446
0
        if (single_slot) {
447
0
            SlotId slot_id = slot_ids[0];
448
0
            _slot_id_to_filter_conjuncts[slot_id].emplace_back(conjunct);
449
0
        } else {
450
0
            _not_single_slot_filter_conjuncts.emplace_back(conjunct);
451
0
        }
452
0
    }
453
1
    return Status::OK();
454
1
}
455
456
2
Status FileScanner::_process_late_arrival_conjuncts() {
457
2
    if (_push_down_conjuncts.size() < _conjuncts.size()) {
458
1
        _push_down_conjuncts = _conjuncts;
459
        // Do not clear _conjuncts here!
460
        // We must keep it for fallback filtering, especially when mixing
461
        // Native readers (which use _push_down_conjuncts) and JNI readers (which rely on _conjuncts).
462
        // _conjuncts.clear();
463
1
        RETURN_IF_ERROR(_process_conjuncts());
464
1
    }
465
2
    if (_applied_rf_num == _total_rf_num) {
466
2
        _local_state->scanner_profile()->add_info_string("ApplyAllRuntimeFilters", "True");
467
2
    }
468
2
    return Status::OK();
469
2
}
470
471
1
void FileScanner::_get_slot_ids(VExpr* expr, std::vector<int>* slot_ids) {
472
1
    for (auto& child_expr : expr->children()) {
473
0
        if (child_expr->is_slot_ref()) {
474
0
            VSlotRef* slot_ref = reinterpret_cast<VSlotRef*>(child_expr.get());
475
0
            SlotDescriptor* slot_desc = _state->desc_tbl().get_slot_descriptor(slot_ref->slot_id());
476
0
            slot_desc->set_is_predicate(true);
477
0
            slot_ids->emplace_back(slot_ref->slot_id());
478
0
        } else {
479
0
            _get_slot_ids(child_expr.get(), slot_ids);
480
0
        }
481
0
    }
482
1
}
483
484
2.52k
Status FileScanner::_open_impl(RuntimeState* state) {
485
2.52k
    RETURN_IF_CANCELLED(state);
486
2.52k
    RETURN_IF_ERROR(Scanner::_open_impl(state));
487
2.52k
    if (_local_state) {
488
2.52k
        _condition_cache_digest = _local_state->get_condition_cache_digest();
489
2.52k
    }
490
2.52k
    RETURN_IF_ERROR(_split_source->get_next(&_first_scan_range, &_current_range));
491
2.52k
    if (_first_scan_range) {
492
2.52k
        RETURN_IF_ERROR(_init_expr_ctxes());
493
2.52k
        if (_state->query_options().enable_runtime_filter_partition_prune &&
494
2.52k
            !_partition_slot_index_map.empty()) {
495
6
            _init_runtime_filter_partition_prune_ctxs();
496
6
            _init_runtime_filter_partition_prune_block();
497
6
        }
498
2.52k
    } else {
499
        // there's no scan range in split source. stop scanner directly.
500
0
        _scanner_eof = true;
501
0
    }
502
503
2.52k
    return Status::OK();
504
2.52k
}
505
506
11.2k
Status FileScanner::_get_block_impl(RuntimeState* state, Block* block, bool* eof) {
507
11.2k
    Status st = _get_block_wrapped(state, block, eof);
508
509
11.2k
    if (!st.ok()) {
510
        // add cur path in error msg for easy debugging
511
14
        return std::move(st.append(". cur path: " + get_current_scan_range_name()));
512
14
    }
513
11.2k
    return st;
514
11.2k
}
515
516
// For query:
517
//                              [exist cols]  [non-exist cols]  [col from path]  input  output
518
//                              A     B    C  D                 E
519
// _init_src_block              x     x    x  x                 x                -      x
520
// get_next_block               x     x    x  -                 -                -      x
521
// _cast_to_input_block         -     -    -  -                 -                -      -
522
// _fill_columns_from_path      -     -    -  -                 x                -      x
523
// _fill_missing_columns        -     -    -  x                 -                -      x
524
// _convert_to_output_block     -     -    -  -                 -                -      -
525
//
526
// For load:
527
//                              [exist cols]  [non-exist cols]  [col from path]  input  output
528
//                              A     B    C  D                 E
529
// _init_src_block              x     x    x  x                 x                x      -
530
// get_next_block               x     x    x  -                 -                x      -
531
// _cast_to_input_block         x     x    x  -                 -                x      -
532
// _fill_columns_from_path      -     -    -  -                 x                x      -
533
// _fill_missing_columns        -     -    -  x                 -                x      -
534
// _convert_to_output_block     -     -    -  -                 -                -      x
535
11.2k
Status FileScanner::_get_block_wrapped(RuntimeState* state, Block* block, bool* eof) {
536
11.2k
    do {
537
11.2k
        RETURN_IF_CANCELLED(state);
538
11.2k
        if (_cur_reader == nullptr || _cur_reader_eof) {
539
5.04k
            _finalize_reader_condition_cache();
540
            // The file may not exist because the file list is got from meta cache,
541
            // And the file may already be removed from storage.
542
            // Just ignore not found files.
543
5.04k
            Status st = _get_next_reader();
544
5.04k
            if (st.is<ErrorCode::NOT_FOUND>() && config::ignore_not_found_file_in_external_table) {
545
0
                _cur_reader_eof = true;
546
0
                COUNTER_UPDATE(_not_found_file_counter, 1);
547
0
                continue;
548
5.04k
            } else if (st.is<ErrorCode::END_OF_FILE>()) {
549
0
                _cur_reader_eof = true;
550
0
                COUNTER_UPDATE(_fully_skipped_file_counter, 1);
551
0
                continue;
552
5.04k
            } else if (!st) {
553
2
                return st;
554
2
            }
555
5.03k
            _init_reader_condition_cache();
556
5.03k
        }
557
558
11.2k
        if (_scanner_eof) {
559
2.51k
            *eof = true;
560
2.51k
            return Status::OK();
561
2.51k
        }
562
563
        // Init src block for load job based on the data file schema (e.g. parquet)
564
        // For query job, simply set _src_block_ptr to block.
565
8.70k
        size_t read_rows = 0;
566
8.70k
        RETURN_IF_ERROR(_init_src_block(block));
567
568
8.70k
        if (_should_run_adaptive_batch_size()) {
569
8.57k
            _cur_reader->set_batch_size(_predict_reader_batch_rows());
570
8.57k
        }
571
8.70k
        {
572
8.70k
            SCOPED_TIMER(_get_block_timer);
573
574
            // Read next block.
575
            // Some of column in block may not be filled (column not exist in file)
576
8.70k
            RETURN_IF_ERROR(
577
8.70k
                    _cur_reader->get_next_block(_src_block_ptr, &read_rows, &_cur_reader_eof));
578
8.70k
        }
579
        // use read_rows instead of _src_block_ptr->rows(), because the first column of _src_block_ptr
580
        // may not be filled after calling `get_next_block()`, so _src_block_ptr->rows() may return wrong result.
581
8.69k
        if (read_rows > 0) {
582
6.18k
            if ((!_cur_reader->count_read_rows()) && _io_ctx) {
583
6.05k
                _io_ctx->file_reader_stats->read_rows += read_rows;
584
6.05k
            }
585
            // If the push_down_agg_type is COUNT, no need to do the rest,
586
            // because we only save a number in block.
587
6.18k
            if (_get_push_down_agg_type() != TPushAggOp::type::COUNT) {
588
6.18k
                RETURN_IF_ERROR(_process_src_block_after_read(block));
589
6.18k
            }
590
6.18k
        }
591
8.69k
        break;
592
8.69k
    } while (true);
593
594
    // Update filtered rows and unselected rows for load, reset counter.
595
    // {
596
    //     state->update_num_rows_load_filtered(_counter.num_rows_filtered);
597
    //     state->update_num_rows_load_unselected(_counter.num_rows_unselected);
598
    //     _reset_counter();
599
    // }
600
8.69k
    return Status::OK();
601
11.2k
}
602
603
/**
604
 * Check whether there are complex types in parquet/orc reader in broker/stream load.
605
 * Broker/stream load will cast any type as string type, and complex types will be casted wrong.
606
 * This is a temporary method, and will be replaced by tvf.
607
 */
608
8.61k
Status FileScanner::_check_output_block_types() {
609
    // Only called from _init_src_block_for_load, so _is_load is always true.
610
8.61k
    TFileFormatType::type format_type = _params->format_type;
611
8.61k
    if (format_type == TFileFormatType::FORMAT_PARQUET ||
612
8.61k
        format_type == TFileFormatType::FORMAT_ORC) {
613
1.79k
        for (auto slot : _output_tuple_desc->slots()) {
614
1.79k
            if (is_complex_type(slot->type()->get_primitive_type())) {
615
0
                return Status::InternalError(
616
0
                        "Parquet/orc doesn't support complex types in broker/stream load, "
617
0
                        "please use tvf(table value function) to insert complex types.");
618
0
            }
619
1.79k
        }
620
54
    }
621
8.61k
    return Status::OK();
622
8.61k
}
623
624
8.70k
Status FileScanner::_init_src_block(Block* block) {
625
8.70k
    DCHECK(_init_src_block_handler != nullptr);
626
8.70k
    return (this->*_init_src_block_handler)(block);
627
8.70k
}
628
629
96
Status FileScanner::_init_src_block_for_query(Block* block) {
630
96
    _src_block_ptr = block;
631
632
    // Build name to index map only once on first call.
633
96
    if (_src_block_name_to_idx.empty()) {
634
33
        _src_block_name_to_idx = block->get_name_to_pos_map();
635
33
    }
636
96
    return Status::OK();
637
96
}
638
639
8.61k
Status FileScanner::_init_src_block_for_load(Block* block) {
640
8.61k
    static_cast<void>(block);
641
8.61k
    RETURN_IF_ERROR(_check_output_block_types());
642
643
    // if (_src_block_init) {
644
    //     _src_block.clear_column_data();
645
    //     _src_block_ptr = &_src_block;
646
    //     return Status::OK();
647
    // }
648
649
8.61k
    _src_block.clear();
650
8.61k
    uint32_t idx = 0;
651
    // slots in _input_tuple_desc contains all slots describe in load statement, eg:
652
    // -H "columns: k1, k2, tmp1, k3 = tmp1 + 1"
653
    // _input_tuple_desc will contains: k1, k2, tmp1
654
    // and some of them are from file, such as k1 and k2, and some of them may not exist in file, such as tmp1
655
    // _input_tuple_desc also contains columns from path
656
87.9k
    for (auto& slot : _input_tuple_desc->slots()) {
657
87.9k
        DataTypePtr data_type;
658
87.9k
        auto it = _slot_lower_name_to_col_type.find(slot->col_name());
659
87.9k
        if (slot->is_skip_bitmap_col()) {
660
358
            _skip_bitmap_col_idx = idx;
661
358
        }
662
87.9k
        if (_params->__isset.sequence_map_col) {
663
1.29k
            if (_params->sequence_map_col == slot->col_name()) {
664
203
                _sequence_map_col_uid = slot->col_unique_id();
665
203
            }
666
1.29k
        }
667
87.9k
        data_type =
668
87.9k
                it == _slot_lower_name_to_col_type.end() ? slot->type() : make_nullable(it->second);
669
87.9k
        MutableColumnPtr data_column = data_type->create_column();
670
87.9k
        _src_block.insert(
671
87.9k
                ColumnWithTypeAndName(std::move(data_column), data_type, slot->col_name()));
672
87.9k
        _src_block_name_to_idx.emplace(slot->col_name(), idx++);
673
87.9k
    }
674
8.61k
    if (_params->__isset.sequence_map_col) {
675
1.81k
        for (const auto& slot : _output_tuple_desc->slots()) {
676
            // When the target table has seqeunce map column, _input_tuple_desc will not contains __DORIS_SEQUENCE_COL__,
677
            // so we should get its column unique id from _output_tuple_desc
678
1.81k
            if (slot->is_sequence_col()) {
679
211
                _sequence_col_uid = slot->col_unique_id();
680
211
            }
681
1.81k
        }
682
247
    }
683
8.61k
    _src_block_ptr = &_src_block;
684
8.61k
    _src_block_init = true;
685
8.61k
    return Status::OK();
686
8.61k
}
687
688
6.10k
Status FileScanner::_cast_to_input_block(Block* block) {
689
    // Only called from _process_src_block_after_read_for_load, so _is_load is always true.
690
6.10k
    SCOPED_TIMER(_cast_to_input_block_timer);
691
    // cast primitive type(PT0) to primitive type(PT1)
692
6.10k
    uint32_t idx = 0;
693
69.7k
    for (auto& slot_desc : _input_tuple_desc->slots()) {
694
69.7k
        if (_slot_lower_name_to_col_type.find(slot_desc->col_name()) ==
695
69.7k
            _slot_lower_name_to_col_type.end()) {
696
            // skip columns which does not exist in file
697
427
            continue;
698
427
        }
699
69.2k
        auto& arg = _src_block_ptr->get_by_position(_src_block_name_to_idx[slot_desc->col_name()]);
700
69.2k
        auto return_type = slot_desc->get_data_type_ptr();
701
        // remove nullable here, let the get_function decide whether nullable
702
69.2k
        auto data_type = get_data_type_with_default_argument(remove_nullable(return_type));
703
69.2k
        ColumnsWithTypeAndName arguments {
704
69.2k
                arg, {data_type->create_column(), data_type, slot_desc->col_name()}};
705
69.2k
        auto func_cast =
706
69.2k
                SimpleFunctionFactory::instance().get_function("CAST", arguments, return_type, {});
707
69.2k
        if (!func_cast) {
708
0
            return Status::InternalError("Function CAST[arg={}, col name={}, return={}] not found!",
709
0
                                         arg.type->get_name(), slot_desc->col_name(),
710
0
                                         return_type->get_name());
711
0
        }
712
69.2k
        idx = _src_block_name_to_idx[slot_desc->col_name()];
713
69.2k
        DCHECK(_state != nullptr);
714
69.2k
        auto ctx = FunctionContext::create_context(_state, {}, {});
715
69.2k
        RETURN_IF_ERROR(
716
69.2k
                func_cast->execute(ctx.get(), *_src_block_ptr, {idx}, idx, arg.column->size()));
717
69.2k
        _src_block_ptr->get_by_position(idx).type = std::move(return_type);
718
69.2k
    }
719
6.10k
    return Status::OK();
720
6.10k
}
721
722
6.10k
Status FileScanner::_pre_filter_src_block() {
723
    // Only called from _process_src_block_after_read_for_load, so _is_load is always true.
724
6.10k
    if (!_pre_conjunct_ctxs.empty()) {
725
56
        SCOPED_TIMER(_pre_filter_timer);
726
56
        auto origin_column_num = _src_block_ptr->columns();
727
56
        auto old_rows = _src_block_ptr->rows();
728
56
        RETURN_IF_ERROR(
729
56
                VExprContext::filter_block(_pre_conjunct_ctxs, _src_block_ptr, origin_column_num));
730
56
        _counter.num_rows_unselected += old_rows - _src_block_ptr->rows();
731
56
    }
732
6.10k
    return Status::OK();
733
6.10k
}
734
735
6.10k
Status FileScanner::_convert_to_output_block(Block* block) {
736
    // Only called from _process_src_block_after_read_for_load, so _is_load is always true.
737
6.10k
    SCOPED_TIMER(_convert_to_output_block_timer);
738
    // The block is passed from scanner context's free blocks,
739
    // which is initialized by output columns
740
    // so no need to clear it
741
    // block->clear();
742
743
6.10k
    int ctx_idx = 0;
744
6.10k
    size_t rows = _src_block_ptr->rows();
745
6.10k
    auto filter_column = ColumnUInt8::create(rows, 1);
746
6.10k
    auto& filter_map = filter_column->get_data();
747
748
    // After convert, the column_ptr should be copied into output block.
749
    // Can not use block->insert() because it may cause use_count() non-zero bug
750
6.10k
    auto scoped_mutable_output_block =
751
6.10k
            VectorizedUtils::build_scoped_mutable_mem_reuse_block(block, *_dest_row_desc);
752
6.10k
    auto& mutable_output_block = scoped_mutable_output_block.mutable_block();
753
6.10k
    auto& mutable_output_columns = mutable_output_block.mutable_columns();
754
755
6.10k
    std::vector<BitmapValue>* skip_bitmaps {nullptr};
756
6.10k
    MutableColumnPtr skip_bitmap_column;
757
6.10k
    if (_should_process_skip_bitmap_col()) {
758
201
        skip_bitmap_column = IColumn::mutate(
759
201
                std::move(_src_block_ptr->get_by_position(_skip_bitmap_col_idx).column));
760
201
        auto* skip_bitmap_nullable_col_ptr = assert_cast<ColumnNullable*>(skip_bitmap_column.get());
761
201
        skip_bitmaps = &(assert_cast<ColumnBitmap*>(
762
201
                                 skip_bitmap_nullable_col_ptr->get_nested_column_ptr().get())
763
201
                                 ->get_data());
764
        // NOTE:
765
        // - If the table has sequence type column, __DORIS_SEQUENCE_COL__ will be put in _input_tuple_desc, so whether
766
        //   __DORIS_SEQUENCE_COL__ will be marked in skip bitmap depends on whether it's specified in that row
767
        // - If the table has sequence map column, __DORIS_SEQUENCE_COL__ will not be put in _input_tuple_desc,
768
        //   so __DORIS_SEQUENCE_COL__ will be ommited if it't specified in a row and will not be marked in skip bitmap.
769
        //   So we should mark __DORIS_SEQUENCE_COL__ in skip bitmap here if the corresponding sequence map column us marked
770
201
        if (_sequence_map_col_uid != -1) {
771
352
            for (int j = 0; j < rows; ++j) {
772
328
                if ((*skip_bitmaps)[j].contains(_sequence_map_col_uid)) {
773
137
                    (*skip_bitmaps)[j].add(_sequence_col_uid);
774
137
                }
775
328
            }
776
24
        }
777
201
        _src_block_ptr->replace_by_position(_skip_bitmap_col_idx, std::move(skip_bitmap_column));
778
201
    }
779
780
    // for (auto slot_desc : _output_tuple_desc->slots()) {
781
80.5k
    for (int j = 0; j < mutable_output_columns.size(); ++j) {
782
74.4k
        auto* slot_desc = _output_tuple_desc->slots()[j];
783
74.4k
        int dest_index = ctx_idx;
784
74.4k
        ColumnPtr column_ptr;
785
786
74.4k
        auto& ctx = _dest_vexpr_ctx[dest_index];
787
        // PT1 => dest primitive type
788
74.4k
        RETURN_IF_ERROR(ctx->execute(_src_block_ptr, column_ptr));
789
        // column_ptr maybe a ColumnConst, convert it to a normal column
790
74.4k
        column_ptr = column_ptr->convert_to_full_column_if_const();
791
74.4k
        DCHECK(column_ptr);
792
793
        // because of src_slot_desc is always be nullable, so the column_ptr after do dest_expr
794
        // is likely to be nullable
795
74.4k
        if (LIKELY(is_column_nullable(*column_ptr))) {
796
68.8k
            const auto* nullable_column = reinterpret_cast<const ColumnNullable*>(column_ptr.get());
797
170M
            for (int i = 0; i < rows; ++i) {
798
170M
                if (filter_map[i] && nullable_column->is_null_at(i)) {
799
                    // skip checks for non-mentioned columns in flexible partial update
800
1.60M
                    if (skip_bitmaps == nullptr ||
801
1.60M
                        !skip_bitmaps->at(i).contains(slot_desc->col_unique_id())) {
802
                        // clang-format off
803
1.55M
                        if (_strict_mode && (_src_slot_descs_order_by_dest[dest_index]) &&
804
1.55M
                            !_src_block_ptr->get_by_position(_dest_slot_to_src_slot_index[dest_index]).column->is_null_at(i)) {
805
5.49k
                            filter_map[i] = false;
806
5.49k
                            RETURN_IF_ERROR(_state->append_error_msg_to_file(
807
5.49k
                                [&]() -> std::string {
808
5.49k
                                    return _src_block_ptr->dump_one_line(i, _num_of_columns_from_file);
809
5.49k
                                },
810
5.49k
                                [&]() -> std::string {
811
5.49k
                                    auto raw_value =
812
5.49k
                                            _src_block_ptr->get_by_position(_dest_slot_to_src_slot_index[dest_index]).column->get_data_at(i);
813
5.49k
                                    std::string raw_string = raw_value.to_string();
814
5.49k
                                    fmt::memory_buffer error_msg;
815
5.49k
                                    fmt::format_to(error_msg,"column({}) value is incorrect while strict mode is {}, src value is {}",
816
5.49k
                                            slot_desc->col_name(), _strict_mode, raw_string);
817
5.49k
                                    return fmt::to_string(error_msg);
818
5.49k
                                }));
819
1.54M
                        } else if (!slot_desc->is_nullable()) {
820
638
                            filter_map[i] = false;
821
638
                            RETURN_IF_ERROR(_state->append_error_msg_to_file(
822
638
                                [&]() -> std::string {
823
638
                                    return _src_block_ptr->dump_one_line(i, _num_of_columns_from_file);
824
638
                                },
825
638
                                [&]() -> std::string {
826
638
                                    fmt::memory_buffer error_msg;
827
638
                                    fmt::format_to(error_msg, "column({}) values is null while columns is not nullable", slot_desc->col_name());
828
638
                                    return fmt::to_string(error_msg);
829
638
                                }));
830
638
                        }
831
                        // clang-format on
832
1.55M
                    }
833
1.60M
                }
834
170M
            }
835
68.8k
            if (!slot_desc->is_nullable()) {
836
43.7k
                column_ptr = remove_nullable(column_ptr);
837
43.7k
            }
838
68.8k
        } else if (slot_desc->is_nullable()) {
839
115
            column_ptr = make_nullable(column_ptr);
840
115
        }
841
74.3k
        mutable_output_columns[j]->insert_range_from(*column_ptr, 0, rows);
842
74.3k
        ctx_idx++;
843
74.3k
    }
844
6.10k
    scoped_mutable_output_block.restore();
845
846
    // after do the dest block insert operation, clear _src_block to remove the reference of origin column
847
6.10k
    _src_block_ptr->clear();
848
849
6.10k
    size_t dest_size = block->columns();
850
    // do filter
851
6.10k
    block->insert(ColumnWithTypeAndName(std::move(filter_column), std::make_shared<DataTypeUInt8>(),
852
6.10k
                                        "filter column"));
853
6.10k
    RETURN_IF_ERROR(Block::filter_block(block, dest_size, dest_size));
854
855
6.10k
    _counter.num_rows_filtered += rows - block->rows();
856
6.10k
    return Status::OK();
857
6.10k
}
858
859
6.18k
Status FileScanner::_process_src_block_after_read(Block* block) {
860
6.18k
    DCHECK(_process_src_block_after_read_handler != nullptr);
861
6.18k
    return (this->*_process_src_block_after_read_handler)(block);
862
6.18k
}
863
864
78
Status FileScanner::_process_src_block_after_read_for_query(Block* block) {
865
78
    _update_adaptive_batch_size_before_truncate(*block);
866
867
    // Truncate CHAR/VARCHAR columns when target size is smaller than file schema.
868
    // This is needed for external table queries with truncate_char_or_varchar_columns=true.
869
78
    RETURN_IF_ERROR(_truncate_char_or_varchar_columns(block));
870
871
78
    _update_adaptive_batch_size_after_truncate(*block);
872
78
    return Status::OK();
873
78
}
874
875
6.10k
Status FileScanner::_process_src_block_after_read_for_load(Block* block) {
876
    // Convert the src block columns type in-place.
877
6.10k
    RETURN_IF_ERROR(_cast_to_input_block(block));
878
    // All readers fill partition and missing columns inside get_next_block:
879
    //   ORC/Parquet: in _do_get_next_block via on_fill_partition_columns/on_fill_missing_columns
880
    //   CSV/JSON/others: in on_after_read_block via fill_remaining_columns
881
    // Assert all columns have consistent row counts.
882
6.10k
    if (_src_block_ptr->columns() > 0) {
883
6.10k
        size_t rows = _src_block_ptr->get_by_position(0).column->size();
884
69.7k
        for (size_t i = 1; i < _src_block_ptr->columns(); ++i) {
885
63.5k
            DCHECK_EQ(_src_block_ptr->get_by_position(i).column->size(), rows)
886
0
                    << "Column " << _src_block_ptr->get_by_position(i).name << " has "
887
0
                    << _src_block_ptr->get_by_position(i).column->size() << " rows, expected "
888
0
                    << rows;
889
63.5k
        }
890
6.10k
    }
891
    // Apply _pre_conjunct_ctxs to filter src block.
892
6.10k
    RETURN_IF_ERROR(_pre_filter_src_block());
893
894
    // Convert src block to output block (dest block), then apply filters.
895
6.10k
    RETURN_IF_ERROR(_convert_to_output_block(block));
896
897
6.10k
    _update_adaptive_batch_size_before_truncate(*block);
898
899
    // Truncate CHAR/VARCHAR columns when target size is smaller than file schema.
900
6.10k
    RETURN_IF_ERROR(_truncate_char_or_varchar_columns(block));
901
902
6.10k
    _update_adaptive_batch_size_after_truncate(*block);
903
6.10k
    return Status::OK();
904
6.10k
}
905
906
6.18k
Status FileScanner::_truncate_char_or_varchar_columns(Block* block) {
907
    // Truncate char columns or varchar columns if size is smaller than file columns
908
    // or not found in the file column schema.
909
6.18k
    if (!_state->query_options().truncate_char_or_varchar_columns) {
910
6.18k
        return Status::OK();
911
6.18k
    }
912
0
    int idx = 0;
913
0
    for (auto* slot_desc : _real_tuple_desc->slots()) {
914
0
        const auto& type = slot_desc->type();
915
0
        if (type->get_primitive_type() != TYPE_VARCHAR && type->get_primitive_type() != TYPE_CHAR) {
916
0
            ++idx;
917
0
            continue;
918
0
        }
919
0
        auto iter = _source_file_col_name_types.find(slot_desc->col_name());
920
0
        if (iter != _source_file_col_name_types.end()) {
921
0
            const auto file_type_desc = _source_file_col_name_types[slot_desc->col_name()];
922
0
            int l = -1;
923
0
            if (auto* ftype = check_and_get_data_type<DataTypeString>(
924
0
                        remove_nullable(file_type_desc).get())) {
925
0
                l = ftype->len();
926
0
            }
927
0
            if ((assert_cast<const DataTypeString*>(remove_nullable(type).get())->len() > 0) &&
928
0
                (assert_cast<const DataTypeString*>(remove_nullable(type).get())->len() < l ||
929
0
                 l < 0)) {
930
0
                _truncate_char_or_varchar_column(
931
0
                        block, idx,
932
0
                        assert_cast<const DataTypeString*>(remove_nullable(type).get())->len());
933
0
            }
934
0
        } else {
935
0
            _truncate_char_or_varchar_column(
936
0
                    block, idx,
937
0
                    assert_cast<const DataTypeString*>(remove_nullable(type).get())->len());
938
0
        }
939
0
        ++idx;
940
0
    }
941
0
    return Status::OK();
942
6.18k
}
943
944
// VARCHAR substring(VARCHAR str, INT pos[, INT len])
945
0
void FileScanner::_truncate_char_or_varchar_column(Block* block, int idx, int len) {
946
0
    auto int_type = std::make_shared<DataTypeInt32>();
947
0
    uint32_t num_columns_without_result = block->columns();
948
0
    const ColumnNullable* col_nullable =
949
0
            assert_cast<const ColumnNullable*>(block->get_by_position(idx).column.get());
950
0
    const ColumnPtr& string_column_ptr = col_nullable->get_nested_column_ptr();
951
0
    ColumnPtr null_map_column_ptr = col_nullable->get_null_map_column_ptr();
952
0
    block->replace_by_position(idx, std::move(string_column_ptr));
953
0
    block->insert({int_type->create_column_const(block->rows(), to_field<TYPE_INT>(1)), int_type,
954
0
                   "const 1"}); // pos is 1
955
0
    block->insert({int_type->create_column_const(block->rows(), to_field<TYPE_INT>(len)), int_type,
956
0
                   fmt::format("const {}", len)});                          // len
957
0
    block->insert({nullptr, std::make_shared<DataTypeString>(), "result"}); // result column
958
0
    ColumnNumbers temp_arguments(3);
959
0
    temp_arguments[0] = idx;                            // str column
960
0
    temp_arguments[1] = num_columns_without_result;     // pos
961
0
    temp_arguments[2] = num_columns_without_result + 1; // len
962
0
    uint32_t result_column_id = num_columns_without_result + 2;
963
964
0
    SubstringUtil::substring_execute(*block, temp_arguments, result_column_id, block->rows());
965
0
    auto res = ColumnNullable::create(block->get_by_position(result_column_id).column,
966
0
                                      null_map_column_ptr);
967
0
    block->replace_by_position(idx, std::move(res));
968
0
    Block::erase_useless_column(block, num_columns_without_result);
969
0
}
970
971
0
std::shared_ptr<segment_v2::RowIdColumnIteratorV2> FileScanner::_create_row_id_column_iterator() {
972
0
    auto& id_file_map = _state->get_id_file_map();
973
0
    auto file_id = id_file_map->get_file_mapping_id(
974
0
            std::make_shared<FileMapping>(((FileScanLocalState*)_local_state)->parent_id(),
975
0
                                          _current_range, _should_enable_file_meta_cache()));
976
0
    return std::make_shared<RowIdColumnIteratorV2>(IdManager::ID_VERSION,
977
0
                                                   BackendOptions::get_backend_id(), file_id);
978
0
}
979
980
2.56k
void FileScanner::_fill_base_init_context(ReaderInitContext* ctx) {
981
2.56k
    ctx->column_descs = &_column_descs;
982
2.56k
    ctx->col_name_to_block_idx = &_src_block_name_to_idx;
983
2.56k
    ctx->state = _state;
984
2.56k
    ctx->tuple_descriptor = _real_tuple_desc;
985
2.56k
    ctx->row_descriptor = _default_val_row_desc.get();
986
2.56k
    ctx->params = _params;
987
2.56k
    ctx->range = &_current_range;
988
2.56k
    ctx->table_info_node = TableSchemaChangeHelper::ConstNode::get_instance();
989
2.56k
    ctx->push_down_agg_type = _get_push_down_agg_type();
990
2.56k
}
991
992
5.04k
Status FileScanner::_get_next_reader() {
993
5.04k
    while (true) {
994
5.04k
        if (_cur_reader) {
995
2.51k
            _cur_reader->collect_profile_before_close();
996
2.51k
            RETURN_IF_ERROR(_cur_reader->close());
997
2.51k
            _state->update_num_finished_scan_range(1);
998
2.51k
        }
999
5.04k
        _cur_reader.reset(nullptr);
1000
5.04k
        _reset_adaptive_batch_size_state();
1001
5.04k
        _src_block_init = false;
1002
5.04k
        bool has_next = _first_scan_range;
1003
5.04k
        if (!_first_scan_range) {
1004
2.51k
            RETURN_IF_ERROR(_split_source->get_next(&has_next, &_current_range));
1005
2.51k
        }
1006
5.04k
        _first_scan_range = false;
1007
5.04k
        if (!has_next || _should_stop) {
1008
2.51k
            _scanner_eof = true;
1009
2.51k
            return Status::OK();
1010
2.51k
        }
1011
1012
2.52k
        const TFileRangeDesc& range = _current_range;
1013
2.52k
        _current_range_path = range.path;
1014
1015
2.52k
        if (!_partition_slot_index_map.empty()) {
1016
            // we need get partition columns first for runtime filter partition pruning
1017
6
            RETURN_IF_ERROR(_generate_partition_columns());
1018
1019
6
            if (_state->query_options().enable_runtime_filter_partition_prune) {
1020
                // if enable_runtime_filter_partition_prune is true, we need to check whether this range can be filtered out
1021
                // by runtime filter partition prune
1022
6
                if (_push_down_conjuncts.size() < _conjuncts.size()) {
1023
                    // there are new runtime filters, need to re-init runtime filter partition pruning ctxs
1024
0
                    _init_runtime_filter_partition_prune_ctxs();
1025
0
                }
1026
1027
6
                bool can_filter_all = false;
1028
6
                RETURN_IF_ERROR(_process_runtime_filters_partition_prune(can_filter_all));
1029
6
                if (can_filter_all) {
1030
                    // this range can be filtered out by runtime filter partition pruning
1031
                    // so we need to skip this range
1032
0
                    COUNTER_UPDATE(_runtime_filter_partition_pruned_range_counter, 1);
1033
0
                    continue;
1034
0
                }
1035
6
            }
1036
6
        }
1037
1038
        // create reader for specific format
1039
2.52k
        Status init_status = Status::OK();
1040
2.52k
        TFileFormatType::type format_type = _get_current_format_type();
1041
        // for compatibility, this logic is deprecated in 3.1
1042
2.52k
        if (format_type == TFileFormatType::FORMAT_JNI && range.__isset.table_format_params) {
1043
0
            if (range.table_format_params.table_format_type == "paimon" &&
1044
0
                !range.table_format_params.paimon_params.__isset.paimon_split) {
1045
                // use native reader
1046
0
                auto format = range.table_format_params.paimon_params.file_format;
1047
0
                if (format == "orc") {
1048
0
                    format_type = TFileFormatType::FORMAT_ORC;
1049
0
                } else if (format == "parquet") {
1050
0
                    format_type = TFileFormatType::FORMAT_PARQUET;
1051
0
                } else {
1052
0
                    return Status::InternalError("Not supported paimon file format: {}", format);
1053
0
                }
1054
0
            }
1055
0
        }
1056
1057
2.52k
        bool push_down_predicates = _should_push_down_predicates(format_type);
1058
2.52k
        bool need_to_get_parsed_schema = false;
1059
2.52k
        switch (format_type) {
1060
1
        case TFileFormatType::FORMAT_JNI: {
1061
1
            ReaderInitContext jni_ctx;
1062
1
            _fill_base_init_context(&jni_ctx);
1063
1064
1
            if (range.__isset.table_format_params &&
1065
1
                range.table_format_params.table_format_type == "max_compute") {
1066
0
                const auto* mc_desc = static_cast<const MaxComputeTableDescriptor*>(
1067
0
                        _real_tuple_desc->table_desc());
1068
0
                if (!mc_desc->init_status()) {
1069
0
                    return mc_desc->init_status();
1070
0
                }
1071
0
                std::unique_ptr<MaxComputeJniReader> mc_reader = MaxComputeJniReader::create_unique(
1072
0
                        mc_desc, range.table_format_params.max_compute_params, _file_slot_descs,
1073
0
                        range, _state, _profile);
1074
0
                init_status = static_cast<GenericReader*>(mc_reader.get())->init_reader(&jni_ctx);
1075
0
                _cur_reader = std::move(mc_reader);
1076
1
            } else if (range.__isset.table_format_params &&
1077
1
                       range.table_format_params.table_format_type == "paimon") {
1078
0
                const auto& paimon_params = range.table_format_params.paimon_params;
1079
0
                bool use_paimon_cpp_reader = false;
1080
0
                if (paimon_params.__isset.reader_type) {
1081
0
                    switch (paimon_params.reader_type) {
1082
0
                    case TPaimonReaderType::PAIMON_CPP:
1083
0
                        use_paimon_cpp_reader = true;
1084
0
                        break;
1085
0
                    case TPaimonReaderType::PAIMON_JNI:
1086
0
                        break;
1087
0
                    case TPaimonReaderType::PAIMON_NATIVE:
1088
0
                        return Status::InternalError(
1089
0
                                "invalid PAIMON_NATIVE reader_type for paimon FORMAT_JNI split, "
1090
0
                                "possibly caused by FE/BE protocol mismatch");
1091
0
                    default:
1092
0
                        return Status::InternalError(
1093
0
                                "unknown paimon reader_type for paimon FORMAT_JNI split, possibly "
1094
0
                                "caused by FE/BE protocol mismatch");
1095
0
                    }
1096
0
                } else {
1097
                    // TODO: Remove this fallback after all FE versions set TPaimonReaderType.
1098
0
                    use_paimon_cpp_reader =
1099
0
                            _state->query_options().__isset.enable_paimon_cpp_reader &&
1100
0
                            _state->query_options().enable_paimon_cpp_reader;
1101
0
                }
1102
0
                if (use_paimon_cpp_reader) {
1103
0
                    auto cpp_reader = PaimonCppReader::create_unique(_file_slot_descs, _state,
1104
0
                                                                     _profile, range, _params);
1105
0
                    if (!_is_load && !_push_down_conjuncts.empty()) {
1106
0
                        PaimonPredicateConverter predicate_converter(_file_slot_descs, _state);
1107
0
                        auto predicate = predicate_converter.build(_push_down_conjuncts);
1108
0
                        if (predicate) {
1109
0
                            cpp_reader->set_predicate(std::move(predicate));
1110
0
                        }
1111
0
                    }
1112
0
                    init_status =
1113
0
                            static_cast<GenericReader*>(cpp_reader.get())->init_reader(&jni_ctx);
1114
0
                    _cur_reader = std::move(cpp_reader);
1115
0
                } else {
1116
0
                    auto paimon_reader = PaimonJniReader::create_unique(_file_slot_descs, _state,
1117
0
                                                                        _profile, range, _params);
1118
0
                    init_status =
1119
0
                            static_cast<GenericReader*>(paimon_reader.get())->init_reader(&jni_ctx);
1120
0
                    _cur_reader = std::move(paimon_reader);
1121
0
                }
1122
1
            } else if (range.__isset.table_format_params &&
1123
1
                       range.table_format_params.table_format_type == "hudi") {
1124
0
                auto hudi_reader = HudiJniReader::create_unique(
1125
0
                        *_params, range.table_format_params.hudi_params, _file_slot_descs, _state,
1126
0
                        _profile);
1127
0
                init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&jni_ctx);
1128
0
                _cur_reader = std::move(hudi_reader);
1129
1
            } else if (range.__isset.table_format_params &&
1130
1
                       range.table_format_params.table_format_type == "trino_connector") {
1131
0
                auto trino_reader = TrinoConnectorJniReader::create_unique(_file_slot_descs, _state,
1132
0
                                                                           _profile, range);
1133
0
                init_status =
1134
0
                        static_cast<GenericReader*>(trino_reader.get())->init_reader(&jni_ctx);
1135
0
                _cur_reader = std::move(trino_reader);
1136
1
            } else if (range.__isset.table_format_params &&
1137
1
                       range.table_format_params.table_format_type == "jdbc") {
1138
                // Extract jdbc params from table_format_params
1139
0
                std::map<std::string, std::string> jdbc_params(
1140
0
                        range.table_format_params.jdbc_params.begin(),
1141
0
                        range.table_format_params.jdbc_params.end());
1142
0
                auto jdbc_reader = JdbcJniReader::create_unique(_file_slot_descs, _state, _profile,
1143
0
                                                                jdbc_params);
1144
0
                init_status = static_cast<GenericReader*>(jdbc_reader.get())->init_reader(&jni_ctx);
1145
0
                _cur_reader = std::move(jdbc_reader);
1146
1
            } else if (range.__isset.table_format_params &&
1147
1
                       range.table_format_params.table_format_type == "iceberg") {
1148
0
                auto iceberg_sys_reader = IcebergSysTableJniReader::create_unique(
1149
0
                        _file_slot_descs, _state, _profile, range, _params);
1150
0
                init_status = static_cast<GenericReader*>(iceberg_sys_reader.get())
1151
0
                                      ->init_reader(&jni_ctx);
1152
0
                _cur_reader = std::move(iceberg_sys_reader);
1153
0
            }
1154
            // Set col_name_to_block_idx for JNI readers to avoid repeated map creation
1155
1
            if (_cur_reader) {
1156
0
                if (auto* jni_reader = dynamic_cast<JniReader*>(_cur_reader.get())) {
1157
0
                    jni_reader->set_col_name_to_block_idx(&_src_block_name_to_idx);
1158
0
                }
1159
0
            }
1160
1
            break;
1161
1
        }
1162
21
        case TFileFormatType::FORMAT_PARQUET: {
1163
21
            auto file_meta_cache_ptr = _should_enable_file_meta_cache()
1164
21
                                               ? ExecEnv::GetInstance()->file_meta_cache()
1165
21
                                               : nullptr;
1166
21
            if (push_down_predicates) {
1167
1
                RETURN_IF_ERROR(_process_late_arrival_conjuncts());
1168
1
            }
1169
21
            RETURN_IF_ERROR(_init_parquet_reader(file_meta_cache_ptr));
1170
1171
21
            need_to_get_parsed_schema = true;
1172
21
            break;
1173
21
        }
1174
11
        case TFileFormatType::FORMAT_ORC: {
1175
11
            auto file_meta_cache_ptr = _should_enable_file_meta_cache()
1176
11
                                               ? ExecEnv::GetInstance()->file_meta_cache()
1177
11
                                               : nullptr;
1178
11
            if (push_down_predicates) {
1179
0
                RETURN_IF_ERROR(_process_late_arrival_conjuncts());
1180
0
            }
1181
11
            RETURN_IF_ERROR(_init_orc_reader(file_meta_cache_ptr));
1182
1183
11
            need_to_get_parsed_schema = true;
1184
11
            break;
1185
11
        }
1186
1.99k
        case TFileFormatType::FORMAT_CSV_PLAIN:
1187
1.99k
        case TFileFormatType::FORMAT_CSV_GZ:
1188
1.99k
        case TFileFormatType::FORMAT_CSV_BZ2:
1189
1.99k
        case TFileFormatType::FORMAT_CSV_LZ4FRAME:
1190
1.99k
        case TFileFormatType::FORMAT_CSV_LZ4BLOCK:
1191
1.99k
        case TFileFormatType::FORMAT_CSV_LZOP:
1192
1.99k
        case TFileFormatType::FORMAT_CSV_DEFLATE:
1193
1.99k
        case TFileFormatType::FORMAT_CSV_SNAPPYBLOCK:
1194
2.07k
        case TFileFormatType::FORMAT_PROTO: {
1195
2.07k
            auto reader = CsvReader::create_unique(_state, _profile, &_counter, *_params, range,
1196
2.07k
                                                   _file_slot_descs, _state->batch_size(), nullptr,
1197
2.07k
                                                   _io_ctx);
1198
2.07k
            CsvInitContext csv_ctx;
1199
2.07k
            _fill_base_init_context(&csv_ctx);
1200
2.07k
            csv_ctx.is_load = _is_load;
1201
2.07k
            init_status = static_cast<GenericReader*>(reader.get())->init_reader(&csv_ctx);
1202
2.07k
            _cur_reader = std::move(reader);
1203
2.07k
            break;
1204
1.99k
        }
1205
3
        case TFileFormatType::FORMAT_TEXT: {
1206
3
            auto reader = TextReader::create_unique(_state, _profile, &_counter, *_params, range,
1207
3
                                                    _file_slot_descs, _state->batch_size(), nullptr,
1208
3
                                                    _io_ctx);
1209
3
            CsvInitContext text_ctx;
1210
3
            _fill_base_init_context(&text_ctx);
1211
3
            text_ctx.is_load = _is_load;
1212
3
            init_status = static_cast<GenericReader*>(reader.get())->init_reader(&text_ctx);
1213
3
            _cur_reader = std::move(reader);
1214
3
            break;
1215
1.99k
        }
1216
411
        case TFileFormatType::FORMAT_JSON: {
1217
411
            _cur_reader = NewJsonReader::create_unique(_state, _profile, &_counter, *_params, range,
1218
411
                                                       _file_slot_descs, &_scanner_eof,
1219
411
                                                       _state->batch_size(), nullptr, _io_ctx);
1220
411
            JsonInitContext json_ctx;
1221
411
            _fill_base_init_context(&json_ctx);
1222
411
            json_ctx.col_default_value_ctx = &_col_default_value_ctx;
1223
411
            json_ctx.is_load = _is_load;
1224
411
            init_status = _cur_reader->init_reader(&json_ctx);
1225
411
            break;
1226
1.99k
        }
1227
1228
0
        case TFileFormatType::FORMAT_WAL: {
1229
0
            _cur_reader = WalReader::create_unique(_state);
1230
0
            WalInitContext wal_ctx;
1231
0
            _fill_base_init_context(&wal_ctx);
1232
0
            wal_ctx.output_tuple_descriptor = _output_tuple_desc;
1233
0
            init_status = _cur_reader->init_reader(&wal_ctx);
1234
0
            break;
1235
1.99k
        }
1236
1
        case TFileFormatType::FORMAT_NATIVE: {
1237
1
            auto reader = NativeReader::create_unique(_profile, *_params, range, _io_ctx, _state);
1238
1
            ReaderInitContext native_ctx;
1239
1
            _fill_base_init_context(&native_ctx);
1240
1
            init_status = static_cast<GenericReader*>(reader.get())->init_reader(&native_ctx);
1241
1
            _cur_reader = std::move(reader);
1242
1
            need_to_get_parsed_schema = false;
1243
1
            break;
1244
1.99k
        }
1245
10
        case TFileFormatType::FORMAT_ARROW: {
1246
10
            ReaderInitContext arrow_ctx;
1247
10
            _fill_base_init_context(&arrow_ctx);
1248
1249
10
            if (range.__isset.table_format_params &&
1250
10
                range.table_format_params.table_format_type == "remote_doris") {
1251
0
                auto doris_reader =
1252
0
                        RemoteDorisReader::create_unique(_file_slot_descs, _state, _profile, range);
1253
0
                init_status =
1254
0
                        static_cast<GenericReader*>(doris_reader.get())->init_reader(&arrow_ctx);
1255
0
                if (doris_reader) {
1256
0
                    doris_reader->set_col_name_to_block_idx(&_src_block_name_to_idx);
1257
0
                }
1258
0
                _cur_reader = std::move(doris_reader);
1259
10
            } else {
1260
10
                auto arrow_reader =
1261
10
                        ArrowStreamReader::create_unique(_state, _profile, &_counter, *_params,
1262
10
                                                         range, _file_slot_descs, _io_ctx.get());
1263
10
                init_status =
1264
10
                        static_cast<GenericReader*>(arrow_reader.get())->init_reader(&arrow_ctx);
1265
10
                _cur_reader = std::move(arrow_reader);
1266
10
            }
1267
10
            break;
1268
1.99k
        }
1269
0
        case TFileFormatType::FORMAT_ES_HTTP: {
1270
0
            _cur_reader = EsHttpReader::create_unique(_file_slot_descs, _state, _profile, range,
1271
0
                                                      *_params, _real_tuple_desc);
1272
0
            init_status = static_cast<EsHttpReader*>(_cur_reader.get())->init_reader();
1273
0
            break;
1274
1.99k
        }
1275
0
        default:
1276
0
            return Status::NotSupported("Not supported create reader for file format: {}.",
1277
0
                                        to_string(_params->format_type));
1278
2.52k
        }
1279
1280
2.52k
        if (_cur_reader == nullptr) {
1281
1
            return Status::NotSupported(
1282
1
                    "Not supported create reader for table format: {} / file format: {}.",
1283
1
                    range.__isset.table_format_params ? range.table_format_params.table_format_type
1284
1
                                                      : "NotSet",
1285
1
                    to_string(_params->format_type));
1286
1
        }
1287
2.52k
        COUNTER_UPDATE(_file_counter, 1);
1288
        // The FileScanner for external table may try to open not exist files,
1289
        // Because FE file cache for external table may out of date.
1290
        // So, NOT_FOUND for FileScanner is not a fail case.
1291
        // Will remove this after file reader refactor.
1292
2.52k
        if (init_status.is<END_OF_FILE>()) {
1293
0
            COUNTER_UPDATE(_empty_file_counter, 1);
1294
0
            continue;
1295
2.52k
        } else if (init_status.is<ErrorCode::NOT_FOUND>()) {
1296
0
            if (config::ignore_not_found_file_in_external_table) {
1297
0
                COUNTER_UPDATE(_not_found_file_counter, 1);
1298
0
                continue;
1299
0
            }
1300
0
            return Status::InternalError("failed to find reader, err: {}", init_status.to_string());
1301
2.52k
        } else if (!init_status.ok()) {
1302
1
            return Status::InternalError("failed to init reader, err: {}", init_status.to_string());
1303
1
        }
1304
1305
        // For table-level COUNT pushdown, offsets are undefined so we must skip
1306
        // _set_fill_or_truncate_columns (it uses [start_offset, end_offset] to
1307
        // filter row groups, which would produce incorrect empty results).
1308
2.52k
        bool is_table_level_count = _get_push_down_agg_type() == TPushAggOp::type::COUNT &&
1309
2.52k
                                    range.__isset.table_format_params &&
1310
2.52k
                                    range.table_format_params.table_level_row_count >= 0;
1311
2.52k
        if (!is_table_level_count) {
1312
2.52k
            Status status = _set_fill_or_truncate_columns(need_to_get_parsed_schema);
1313
2.52k
            if (status.is<END_OF_FILE>()) { // all parquet row groups are filtered
1314
0
                continue;
1315
2.52k
            } else if (!status.ok()) {
1316
0
                return Status::InternalError("failed to set_fill_or_truncate_columns, err: {}",
1317
0
                                             status.to_string());
1318
0
            }
1319
2.52k
        }
1320
1321
        // Unified COUNT(*) pushdown: replace the real reader with CountReader
1322
        // decorator if the reader accepts COUNT and can provide a total row count.
1323
2.52k
        if (_cur_reader->get_push_down_agg_type() == TPushAggOp::type::COUNT) {
1324
0
            int64_t total_rows = -1;
1325
0
            if (is_table_level_count) {
1326
                // FE-provided count (may account for table-format deletions)
1327
0
                total_rows = range.table_format_params.table_level_row_count;
1328
0
            } else if (_cur_reader->supports_count_pushdown()) {
1329
                // File metadata count (ORC footer / Parquet row groups)
1330
0
                total_rows = _cur_reader->get_total_rows();
1331
0
            }
1332
0
            if (total_rows >= 0) {
1333
0
                auto batch_size = _state->batch_size();
1334
0
                _cur_reader = std::make_unique<CountReader>(total_rows, batch_size,
1335
0
                                                            std::move(_cur_reader));
1336
0
            }
1337
0
        }
1338
2.52k
        _cur_reader_eof = false;
1339
2.52k
        _init_adaptive_batch_size_state(format_type);
1340
2.52k
        break;
1341
2.52k
    }
1342
2.52k
    return Status::OK();
1343
5.04k
}
1344
1345
Status FileScanner::_init_parquet_reader(FileMetaCache* file_meta_cache_ptr,
1346
44
                                         std::unique_ptr<ParquetReader> parquet_reader) {
1347
44
    const TFileRangeDesc& range = _current_range;
1348
44
    Status init_status = Status::OK();
1349
1350
44
    phmap::flat_hash_map<int, std::vector<std::shared_ptr<ColumnPredicate>>> slot_id_to_predicates =
1351
44
            _local_state
1352
44
                    ? _local_state->cast<FileScanLocalState>()._slot_id_to_predicates
1353
44
                    : phmap::flat_hash_map<int, std::vector<std::shared_ptr<ColumnPredicate>>> {};
1354
1355
    // Build unified ParquetInitContext (shared by all Parquet reader variants)
1356
44
    ParquetInitContext pctx;
1357
44
    _fill_base_init_context(&pctx);
1358
44
    pctx.conjuncts = &_push_down_conjuncts;
1359
44
    pctx.slot_id_to_predicates = &slot_id_to_predicates;
1360
44
    pctx.colname_to_slot_id = _col_name_to_slot_id;
1361
44
    pctx.not_single_slot_filter_conjuncts = &_not_single_slot_filter_conjuncts;
1362
44
    pctx.slot_id_to_filter_conjuncts = &_slot_id_to_filter_conjuncts;
1363
1364
44
    if (range.__isset.table_format_params &&
1365
44
        range.table_format_params.table_format_type == "iceberg") {
1366
        // IcebergParquetReader IS-A ParquetReader (CRTP mixin), no wrapping needed
1367
0
        std::unique_ptr<IcebergParquetReader> iceberg_reader = IcebergParquetReader::create_unique(
1368
0
                _kv_cache, _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(),
1369
0
                _io_ctx, _state, file_meta_cache_ptr);
1370
0
        iceberg_reader->set_create_row_id_column_iterator_func(
1371
0
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1372
0
                    return _create_row_id_column_iterator();
1373
0
                });
1374
0
        init_status = static_cast<GenericReader*>(iceberg_reader.get())->init_reader(&pctx);
1375
0
        _cur_reader = std::move(iceberg_reader);
1376
44
    } else if (range.__isset.table_format_params &&
1377
44
               range.table_format_params.table_format_type == "paimon") {
1378
        // PaimonParquetReader IS-A ParquetReader, no wrapping needed
1379
0
        auto paimon_reader = PaimonParquetReader::create_unique(
1380
0
                _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(), _kv_cache,
1381
0
                _io_ctx, _state, file_meta_cache_ptr);
1382
0
        init_status = static_cast<GenericReader*>(paimon_reader.get())->init_reader(&pctx);
1383
0
        _cur_reader = std::move(paimon_reader);
1384
44
    } else if (range.__isset.table_format_params &&
1385
44
               range.table_format_params.table_format_type == "hudi") {
1386
        // HudiParquetReader IS-A ParquetReader, no wrapping needed
1387
0
        auto hudi_reader = HudiParquetReader::create_unique(
1388
0
                _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(), _io_ctx,
1389
0
                _state, file_meta_cache_ptr);
1390
0
        init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&pctx);
1391
0
        _cur_reader = std::move(hudi_reader);
1392
44
    } else if (range.table_format_params.table_format_type == "hive") {
1393
14
        auto hive_reader = HiveParquetReader::create_unique(
1394
14
                _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(), _io_ctx,
1395
14
                _state, &_is_file_slot, file_meta_cache_ptr,
1396
14
                _state->query_options().enable_parquet_lazy_mat);
1397
14
        hive_reader->set_create_row_id_column_iterator_func(
1398
14
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1399
0
                    return _create_row_id_column_iterator();
1400
0
                });
1401
14
        init_status = static_cast<GenericReader*>(hive_reader.get())->init_reader(&pctx);
1402
14
        _cur_reader = std::move(hive_reader);
1403
30
    } else if (range.table_format_params.table_format_type == "tvf") {
1404
10
        if (!parquet_reader) {
1405
1
            parquet_reader = ParquetReader::create_unique(
1406
1
                    _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(),
1407
1
                    _io_ctx, _state, file_meta_cache_ptr,
1408
1
                    _state->query_options().enable_parquet_lazy_mat);
1409
1
        }
1410
10
        parquet_reader->set_create_row_id_column_iterator_func(
1411
10
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1412
0
                    return _create_row_id_column_iterator();
1413
0
                });
1414
10
        init_status = static_cast<GenericReader*>(parquet_reader.get())->init_reader(&pctx);
1415
10
        _cur_reader = std::move(parquet_reader);
1416
20
    } else if (_is_load) {
1417
20
        if (!parquet_reader) {
1418
20
            parquet_reader = ParquetReader::create_unique(
1419
20
                    _profile, *_params, range, _state->batch_size(), &_state->timezone_obj(),
1420
20
                    _io_ctx, _state, file_meta_cache_ptr,
1421
20
                    _state->query_options().enable_parquet_lazy_mat);
1422
20
        }
1423
20
        init_status = static_cast<GenericReader*>(parquet_reader.get())->init_reader(&pctx);
1424
20
        _cur_reader = std::move(parquet_reader);
1425
20
    }
1426
1427
44
    return init_status;
1428
44
}
1429
1430
Status FileScanner::_init_orc_reader(FileMetaCache* file_meta_cache_ptr,
1431
29
                                     std::unique_ptr<OrcReader> orc_reader) {
1432
29
    const TFileRangeDesc& range = _current_range;
1433
29
    Status init_status = Status::OK();
1434
1435
    // Build unified OrcInitContext (shared by all ORC reader variants)
1436
29
    OrcInitContext octx;
1437
29
    _fill_base_init_context(&octx);
1438
29
    octx.conjuncts = &_push_down_conjuncts;
1439
29
    octx.not_single_slot_filter_conjuncts = &_not_single_slot_filter_conjuncts;
1440
29
    octx.slot_id_to_filter_conjuncts = &_slot_id_to_filter_conjuncts;
1441
1442
29
    if (range.__isset.table_format_params &&
1443
29
        range.table_format_params.table_format_type == "transactional_hive") {
1444
        // TransactionalHiveReader IS-A OrcReader, no wrapping needed
1445
0
        auto tran_orc_reader = TransactionalHiveReader::create_unique(
1446
0
                _profile, _state, *_params, range, _state->batch_size(), _state->timezone(),
1447
0
                _io_ctx, file_meta_cache_ptr);
1448
0
        tran_orc_reader->set_create_row_id_column_iterator_func(
1449
0
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1450
0
                    return _create_row_id_column_iterator();
1451
0
                });
1452
0
        init_status = static_cast<GenericReader*>(tran_orc_reader.get())->init_reader(&octx);
1453
1454
0
        _cur_reader = std::move(tran_orc_reader);
1455
29
    } else if (range.__isset.table_format_params &&
1456
29
               range.table_format_params.table_format_type == "iceberg") {
1457
        // IcebergOrcReader IS-A OrcReader (CRTP mixin), no wrapping needed
1458
0
        std::unique_ptr<IcebergOrcReader> iceberg_reader = IcebergOrcReader::create_unique(
1459
0
                _kv_cache, _profile, _state, *_params, range, _state->batch_size(),
1460
0
                _state->timezone(), _io_ctx, file_meta_cache_ptr);
1461
0
        iceberg_reader->set_create_row_id_column_iterator_func(
1462
0
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1463
0
                    return _create_row_id_column_iterator();
1464
0
                });
1465
0
        init_status = static_cast<GenericReader*>(iceberg_reader.get())->init_reader(&octx);
1466
1467
0
        _cur_reader = std::move(iceberg_reader);
1468
29
    } else if (range.__isset.table_format_params &&
1469
29
               range.table_format_params.table_format_type == "paimon") {
1470
        // PaimonOrcReader IS-A OrcReader, no wrapping needed
1471
0
        auto paimon_reader = PaimonOrcReader::create_unique(
1472
0
                _profile, _state, *_params, range, _state->batch_size(), _state->timezone(),
1473
0
                _kv_cache, _io_ctx, file_meta_cache_ptr);
1474
0
        init_status = static_cast<GenericReader*>(paimon_reader.get())->init_reader(&octx);
1475
1476
0
        _cur_reader = std::move(paimon_reader);
1477
29
    } else if (range.__isset.table_format_params &&
1478
29
               range.table_format_params.table_format_type == "hudi") {
1479
        // HudiOrcReader IS-A OrcReader, no wrapping needed
1480
0
        auto hudi_reader = HudiOrcReader::create_unique(_profile, _state, *_params, range,
1481
0
                                                        _state->batch_size(), _state->timezone(),
1482
0
                                                        _io_ctx, file_meta_cache_ptr);
1483
0
        init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&octx);
1484
1485
0
        _cur_reader = std::move(hudi_reader);
1486
29
    } else if (range.__isset.table_format_params &&
1487
29
               range.table_format_params.table_format_type == "hive") {
1488
11
        auto hive_reader = HiveOrcReader::create_unique(
1489
11
                _profile, _state, *_params, range, _state->batch_size(), _state->timezone(),
1490
11
                _io_ctx, &_is_file_slot, file_meta_cache_ptr,
1491
11
                _state->query_options().enable_orc_lazy_mat);
1492
11
        hive_reader->set_create_row_id_column_iterator_func(
1493
11
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1494
0
                    return _create_row_id_column_iterator();
1495
0
                });
1496
11
        init_status = static_cast<GenericReader*>(hive_reader.get())->init_reader(&octx);
1497
1498
11
        _cur_reader = std::move(hive_reader);
1499
18
    } else if (range.__isset.table_format_params &&
1500
18
               range.table_format_params.table_format_type == "tvf") {
1501
7
        if (!orc_reader) {
1502
0
            orc_reader = OrcReader::create_unique(
1503
0
                    _profile, _state, *_params, range, _state->batch_size(), _state->timezone(),
1504
0
                    _io_ctx, file_meta_cache_ptr, _state->query_options().enable_orc_lazy_mat);
1505
0
        }
1506
7
        orc_reader->set_create_row_id_column_iterator_func(
1507
7
                [this]() -> std::shared_ptr<segment_v2::RowIdColumnIteratorV2> {
1508
0
                    return _create_row_id_column_iterator();
1509
0
                });
1510
7
        init_status = static_cast<GenericReader*>(orc_reader.get())->init_reader(&octx);
1511
7
        _cur_reader = std::move(orc_reader);
1512
11
    } else if (_is_load) {
1513
11
        if (!orc_reader) {
1514
11
            orc_reader = OrcReader::create_unique(
1515
11
                    _profile, _state, *_params, range, _state->batch_size(), _state->timezone(),
1516
11
                    _io_ctx, file_meta_cache_ptr, _state->query_options().enable_orc_lazy_mat);
1517
11
        }
1518
11
        init_status = static_cast<GenericReader*>(orc_reader.get())->init_reader(&octx);
1519
11
        _cur_reader = std::move(orc_reader);
1520
11
    }
1521
1522
29
    return init_status;
1523
29
}
1524
1525
2.56k
Status FileScanner::_set_fill_or_truncate_columns(bool need_to_get_parsed_schema) {
1526
2.56k
    _slot_lower_name_to_col_type.clear();
1527
1528
2.56k
    std::unordered_map<std::string, DataTypePtr> name_to_col_type;
1529
2.56k
    RETURN_IF_ERROR(_cur_reader->get_columns(&name_to_col_type));
1530
1531
19.2k
    for (const auto& [col_name, col_type] : name_to_col_type) {
1532
19.2k
        auto col_name_lower = to_lower(col_name);
1533
19.2k
        if (_partition_col_descs.contains(col_name_lower)) {
1534
            /*
1535
             * `_slot_lower_name_to_col_type` is used by `_init_src_block` and `_cast_to_input_block` during LOAD to
1536
             * generate columns of the corresponding type, which records the columns existing in the file.
1537
             *
1538
             * When a column in `COLUMNS FROM PATH` exists in a file column, the column type in the block will
1539
             * not match the slot type in `_output_tuple_desc`, causing an error when
1540
             * Serde `deserialize_one_cell_from_json` fills the partition values.
1541
             *
1542
             * So for partition column not need fill _slot_lower_name_to_col_type.
1543
             */
1544
4
            continue;
1545
4
        }
1546
19.2k
        _slot_lower_name_to_col_type.emplace(col_name_lower, col_type);
1547
19.2k
    }
1548
1549
2.56k
    RETURN_IF_ERROR(_generate_truncate_columns(need_to_get_parsed_schema));
1550
2.56k
    return Status::OK();
1551
2.56k
}
1552
1553
2.56k
Status FileScanner::_generate_truncate_columns(bool need_to_get_parsed_schema) {
1554
2.56k
    _source_file_col_name_types.clear();
1555
    //  The col names and types of source file, such as parquet, orc files.
1556
2.56k
    if (_state->query_options().truncate_char_or_varchar_columns && need_to_get_parsed_schema) {
1557
0
        std::vector<std::string> source_file_col_names;
1558
0
        std::vector<DataTypePtr> source_file_col_types;
1559
0
        Status status =
1560
0
                _cur_reader->get_parsed_schema(&source_file_col_names, &source_file_col_types);
1561
0
        if (!status.ok() && status.code() != TStatusCode::NOT_IMPLEMENTED_ERROR) {
1562
0
            return status;
1563
0
        }
1564
0
        DCHECK_EQ(source_file_col_names.size(), source_file_col_types.size());
1565
0
        for (int i = 0; i < source_file_col_names.size(); ++i) {
1566
0
            _source_file_col_name_types[to_lower(source_file_col_names[i])] =
1567
0
                    source_file_col_types[i];
1568
0
        }
1569
0
    }
1570
2.56k
    return Status::OK();
1571
2.56k
}
1572
1573
32
Status FileScanner::prepare_for_read_lines(const TFileRangeDesc& range) {
1574
32
    _current_range = range;
1575
1576
32
    _file_cache_statistics.reset(new io::FileCacheStatistics());
1577
32
    _file_reader_stats.reset(new io::FileReaderStats());
1578
1579
32
    _file_read_bytes_counter =
1580
32
            ADD_COUNTER_WITH_LEVEL(_profile, FileReadBytesProfile, TUnit::BYTES, 1);
1581
32
    _file_read_time_counter = ADD_TIMER_WITH_LEVEL(_profile, FileReadTimeProfile, 1);
1582
1583
32
    RETURN_IF_ERROR(_init_io_ctx());
1584
32
    _io_ctx->file_cache_stats = _file_cache_statistics.get();
1585
32
    _io_ctx->file_reader_stats = _file_reader_stats.get();
1586
32
    _default_val_row_desc.reset(new RowDescriptor((TupleDescriptor*)_real_tuple_desc));
1587
32
    RETURN_IF_ERROR(_init_expr_ctxes());
1588
1589
    // Since only one column is read from the file, there is no need to filter, so set these variables to empty.
1590
32
    _push_down_conjuncts.clear();
1591
32
    _not_single_slot_filter_conjuncts.clear();
1592
32
    _slot_id_to_filter_conjuncts.clear();
1593
32
    _kv_cache = nullptr;
1594
32
    return Status::OK();
1595
32
}
1596
1597
Status FileScanner::read_lines_from_range(const TFileRangeDesc& range,
1598
                                          const std::list<int64_t>& row_ids, Block* result_block,
1599
                                          const ExternalFileMappingInfo& external_info,
1600
41
                                          int64_t* init_reader_ms, int64_t* get_block_ms) {
1601
41
    _current_range = range;
1602
41
    RETURN_IF_ERROR(_generate_partition_columns());
1603
1604
41
    TFileFormatType::type format_type = _get_current_format_type();
1605
41
    Status init_status = Status::OK();
1606
1607
41
    auto file_meta_cache_ptr = external_info.enable_file_meta_cache
1608
41
                                       ? ExecEnv::GetInstance()->file_meta_cache()
1609
41
                                       : nullptr;
1610
1611
41
    RETURN_IF_ERROR(scope_timer_run(
1612
41
            [&]() -> Status {
1613
41
                switch (format_type) {
1614
41
                case TFileFormatType::FORMAT_PARQUET: {
1615
41
                    std::unique_ptr<ParquetReader> parquet_reader = ParquetReader::create_unique(
1616
41
                            _profile, *_params, range, 1, &_state->timezone_obj(), _io_ctx, _state,
1617
41
                            file_meta_cache_ptr, false);
1618
41
                    RETURN_IF_ERROR(
1619
41
                            _init_parquet_reader(file_meta_cache_ptr, std::move(parquet_reader)));
1620
                    // _init_parquet_reader may create a new table-format specific reader
1621
                    // (e.g., HiveParquetReader) that replaces the original parquet_reader.
1622
                    // We need to re-apply read_by_rows to the actual _cur_reader.
1623
41
                    RETURN_IF_ERROR(_cur_reader->read_by_rows(row_ids));
1624
41
                    break;
1625
41
                }
1626
41
                case TFileFormatType::FORMAT_ORC: {
1627
41
                    std::unique_ptr<OrcReader> orc_reader = OrcReader::create_unique(
1628
41
                            _profile, _state, *_params, range, 1, _state->timezone(), _io_ctx,
1629
41
                            file_meta_cache_ptr, false);
1630
41
                    RETURN_IF_ERROR(_init_orc_reader(file_meta_cache_ptr, std::move(orc_reader)));
1631
                    // Same as above: re-apply read_by_rows to the actual _cur_reader.
1632
41
                    RETURN_IF_ERROR(_cur_reader->read_by_rows(row_ids));
1633
41
                    break;
1634
41
                }
1635
41
                default: {
1636
41
                    return Status::NotSupported(
1637
41
                            "Not support create lines reader for file format: {},"
1638
41
                            "only support parquet and orc.",
1639
41
                            to_string(_params->format_type));
1640
41
                }
1641
41
                }
1642
41
                return Status::OK();
1643
41
            },
1644
41
            init_reader_ms));
1645
1646
41
    RETURN_IF_ERROR(_set_fill_or_truncate_columns(true));
1647
41
    _cur_reader_eof = false;
1648
1649
41
    RETURN_IF_ERROR(scope_timer_run(
1650
41
            [&]() -> Status {
1651
41
                while (!_cur_reader_eof) {
1652
41
                    bool eof = false;
1653
41
                    RETURN_IF_ERROR(_get_block_impl(_state, result_block, &eof));
1654
41
                }
1655
41
                return Status::OK();
1656
41
            },
1657
41
            get_block_ms));
1658
1659
41
    _cur_reader->collect_profile_before_close();
1660
41
    RETURN_IF_ERROR(_cur_reader->close());
1661
1662
41
    COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes);
1663
41
    COUNTER_UPDATE(_file_read_time_counter, _file_reader_stats->read_time_ns);
1664
41
    return Status::OK();
1665
41
}
1666
1667
47
Status FileScanner::_generate_partition_columns() {
1668
47
    _partition_col_descs.clear();
1669
47
    _partition_value_is_null.clear();
1670
47
    const TFileRangeDesc& range = _current_range;
1671
47
    if (!range.__isset.columns_from_path_keys) {
1672
41
        return Status::OK();
1673
41
    }
1674
6
    DORIS_CHECK(range.__isset.columns_from_path);
1675
6
    DORIS_CHECK(range.columns_from_path.size() == range.columns_from_path_keys.size());
1676
6
    const bool has_null_flags = range.__isset.columns_from_path_is_null;
1677
6
    if (has_null_flags) {
1678
6
        DORIS_CHECK(range.columns_from_path_is_null.size() == range.columns_from_path_keys.size());
1679
6
    }
1680
1681
6
    std::unordered_map<std::string, int> partition_name_to_key_index;
1682
6
    int index = 0;
1683
11
    for (const auto& key : range.columns_from_path_keys) {
1684
11
        partition_name_to_key_index.emplace(key, index++);
1685
11
    }
1686
1687
    // Iterate _column_descs to find PARTITION_KEY columns instead of _partition_slot_descs.
1688
22
    for (const auto& col_desc : _column_descs) {
1689
22
        if (col_desc.category != ColumnCategory::PARTITION_KEY) {
1690
11
            continue;
1691
11
        }
1692
11
        auto pit = partition_name_to_key_index.find(col_desc.name);
1693
11
        if (pit != partition_name_to_key_index.end()) {
1694
11
            auto values_index = cast_set<size_t>(pit->second);
1695
11
            _partition_col_descs.emplace(
1696
11
                    col_desc.name,
1697
11
                    std::make_tuple(range.columns_from_path[values_index], col_desc.slot_desc));
1698
11
            _partition_value_is_null.emplace(
1699
11
                    col_desc.name,
1700
11
                    has_null_flags ? range.columns_from_path_is_null[values_index] : false);
1701
11
        }
1702
11
    }
1703
6
    return Status::OK();
1704
47
}
1705
1706
2.55k
Status FileScanner::_init_expr_ctxes() {
1707
2.55k
    std::map<SlotId, int> full_src_index_map;
1708
2.55k
    std::map<SlotId, SlotDescriptor*> full_src_slot_map;
1709
2.55k
    std::map<std::string, int> partition_name_to_key_index_map;
1710
2.55k
    int index = 0;
1711
18.9k
    for (const auto& slot_desc : _real_tuple_desc->slots()) {
1712
18.9k
        full_src_slot_map.emplace(slot_desc->id(), slot_desc);
1713
18.9k
        full_src_index_map.emplace(slot_desc->id(), index++);
1714
18.9k
    }
1715
1716
    // For external table query, find the index of column in path.
1717
    // Because query doesn't always search for all columns in a table
1718
    // and the order of selected columns is random.
1719
    // All ranges in _ranges vector should have identical columns_from_path_keys
1720
    // because they are all file splits for the same external table.
1721
    // So here use the first element of _ranges to fill the partition_name_to_key_index_map
1722
2.55k
    if (_current_range.__isset.columns_from_path_keys) {
1723
6
        std::vector<std::string> key_map = _current_range.columns_from_path_keys;
1724
6
        if (!key_map.empty()) {
1725
17
            for (size_t i = 0; i < key_map.size(); i++) {
1726
11
                partition_name_to_key_index_map.emplace(key_map[i], i);
1727
11
            }
1728
6
        }
1729
6
    }
1730
1731
2.55k
    _num_of_columns_from_file = _params->num_of_columns_from_file;
1732
18.9k
    for (const auto& slot_info : _params->required_slots) {
1733
18.9k
        auto slot_id = slot_info.slot_id;
1734
18.9k
        auto it = full_src_slot_map.find(slot_id);
1735
18.9k
        if (it == std::end(full_src_slot_map)) {
1736
0
            return Status::InternalError(
1737
0
                    fmt::format("Unknown source slot descriptor, slot_id={}", slot_id));
1738
0
        }
1739
1740
18.9k
        ColumnDescriptor col_desc;
1741
18.9k
        col_desc.name = it->second->col_name();
1742
18.9k
        col_desc.slot_desc = it->second;
1743
1744
        // Read category from Thrift if available (new FE), otherwise fall back
1745
        // to slot_info.is_file_slot + partition_name_to_key_index_map for broker/stream load
1746
        // where the FE does not set TColumnCategory.
1747
18.9k
        if (slot_info.__isset.category) {
1748
3
            switch (slot_info.category) {
1749
3
            case TColumnCategory::REGULAR:
1750
3
                col_desc.category = ColumnCategory::REGULAR;
1751
3
                break;
1752
0
            case TColumnCategory::PARTITION_KEY:
1753
0
                col_desc.category = ColumnCategory::PARTITION_KEY;
1754
0
                break;
1755
0
            case TColumnCategory::SYNTHESIZED:
1756
0
                col_desc.category = ColumnCategory::SYNTHESIZED;
1757
0
                break;
1758
0
            case TColumnCategory::GENERATED:
1759
0
                col_desc.category = ColumnCategory::GENERATED;
1760
0
                break;
1761
3
            }
1762
18.9k
        } else if (partition_name_to_key_index_map.contains(it->second->col_name()) &&
1763
18.9k
                   !slot_info.is_file_slot) {
1764
11
            col_desc.category = ColumnCategory::PARTITION_KEY;
1765
11
        }
1766
1767
        // Derive is_file_slot from category
1768
18.9k
        bool is_file_slot = (col_desc.category == ColumnCategory::REGULAR ||
1769
18.9k
                             col_desc.category == ColumnCategory::GENERATED);
1770
1771
18.9k
        if (partition_name_to_key_index_map.contains(it->second->col_name())) {
1772
11
            if (_is_load) {
1773
11
                auto iti = full_src_index_map.find(slot_id);
1774
11
                _partition_slot_index_map.emplace(slot_id, iti->second - _num_of_columns_from_file);
1775
11
            } else {
1776
0
                auto kit = partition_name_to_key_index_map.find(it->second->col_name());
1777
0
                _partition_slot_index_map.emplace(slot_id, kit->second);
1778
0
            }
1779
11
        }
1780
1781
18.9k
        if (is_file_slot) {
1782
18.8k
            _is_file_slot.emplace(slot_id);
1783
18.8k
            _file_slot_descs.emplace_back(it->second);
1784
18.8k
        }
1785
1786
18.9k
        _column_descs.push_back(col_desc);
1787
18.9k
    }
1788
1789
    // set column name to default value expr map
1790
    // new inline TFileScanSlotInfo.default_value_expr (preferred)
1791
18.9k
    for (const auto& slot_info : _params->required_slots) {
1792
18.9k
        auto slot_id = slot_info.slot_id;
1793
18.9k
        auto it = full_src_slot_map.find(slot_id);
1794
18.9k
        if (it == std::end(full_src_slot_map)) {
1795
0
            continue;
1796
0
        }
1797
18.9k
        const std::string& col_name = it->second->col_name();
1798
1799
18.9k
        VExprContextSPtr ctx;
1800
18.9k
        bool has_default = false;
1801
1802
        // Prefer inline default_value_expr from TFileScanSlotInfo (new FE)
1803
18.9k
        if (slot_info.__isset.default_value_expr && !slot_info.default_value_expr.nodes.empty()) {
1804
14.3k
            RETURN_IF_ERROR(VExpr::create_expr_tree(slot_info.default_value_expr, ctx));
1805
14.3k
            RETURN_IF_ERROR(ctx->prepare(_state, *_default_val_row_desc));
1806
14.3k
            RETURN_IF_ERROR(ctx->open(_state));
1807
14.3k
            has_default = true;
1808
14.3k
        } else if (slot_info.__isset.default_value_expr) {
1809
            // Empty nodes means null default (same as legacy empty TExpr)
1810
4.00k
            has_default = true;
1811
4.00k
        }
1812
1813
        // Fall back to legacy default_value_of_src_slot map for mixed-version FE/BE
1814
        // and callers that have not preserved inline default_value_expr yet.
1815
18.9k
        if (!has_default) {
1816
589
            auto legacy_it = _params->default_value_of_src_slot.find(slot_id);
1817
589
            if (legacy_it != std::end(_params->default_value_of_src_slot)) {
1818
181
                if (!legacy_it->second.nodes.empty()) {
1819
0
                    RETURN_IF_ERROR(VExpr::create_expr_tree(legacy_it->second, ctx));
1820
0
                    RETURN_IF_ERROR(ctx->prepare(_state, *_default_val_row_desc));
1821
0
                    RETURN_IF_ERROR(ctx->open(_state));
1822
0
                }
1823
181
                has_default = true;
1824
181
            }
1825
589
        }
1826
1827
18.9k
        if (has_default) {
1828
            // if expr is empty, the default value will be null
1829
18.4k
            _col_default_value_ctx.emplace(col_name, ctx);
1830
18.4k
        }
1831
18.9k
    }
1832
1833
    // Populate default_expr in each ColumnDescriptor from _col_default_value_ctx.
1834
    // This makes default values available to readers via column_descs, eliminating the
1835
    // need for the separate _generate_missing_columns roundtrip.
1836
18.9k
    for (auto& col_desc : _column_descs) {
1837
18.9k
        auto it = _col_default_value_ctx.find(col_desc.name);
1838
18.9k
        if (it != _col_default_value_ctx.end()) {
1839
18.4k
            col_desc.default_expr = it->second;
1840
18.4k
        }
1841
18.9k
    }
1842
1843
2.55k
    if (_is_load) {
1844
        // follow desc expr map is only for load task.
1845
2.52k
        bool has_slot_id_map = _params->__isset.dest_sid_to_src_sid_without_trans;
1846
2.52k
        int idx = 0;
1847
24.2k
        for (auto* slot_desc : _output_tuple_desc->slots()) {
1848
24.2k
            auto it = _params->expr_of_dest_slot.find(slot_desc->id());
1849
24.2k
            if (it == std::end(_params->expr_of_dest_slot)) {
1850
0
                return Status::InternalError("No expr for dest slot, id={}, name={}",
1851
0
                                             slot_desc->id(), slot_desc->col_name());
1852
0
            }
1853
1854
24.2k
            VExprContextSPtr ctx;
1855
24.2k
            if (!it->second.nodes.empty()) {
1856
24.2k
                RETURN_IF_ERROR(VExpr::create_expr_tree(it->second, ctx));
1857
24.2k
                RETURN_IF_ERROR(ctx->prepare(_state, *_src_row_desc));
1858
24.2k
                RETURN_IF_ERROR(ctx->open(_state));
1859
24.2k
            }
1860
24.2k
            _dest_vexpr_ctx.emplace_back(ctx);
1861
24.2k
            _dest_slot_name_to_idx[slot_desc->col_name()] = idx++;
1862
1863
24.2k
            if (has_slot_id_map) {
1864
24.1k
                auto it1 = _params->dest_sid_to_src_sid_without_trans.find(slot_desc->id());
1865
24.1k
                if (it1 == std::end(_params->dest_sid_to_src_sid_without_trans)) {
1866
5.79k
                    _src_slot_descs_order_by_dest.emplace_back(nullptr);
1867
18.3k
                } else {
1868
18.3k
                    auto _src_slot_it = full_src_slot_map.find(it1->second);
1869
18.3k
                    if (_src_slot_it == std::end(full_src_slot_map)) {
1870
0
                        return Status::InternalError("No src slot {} in src slot descs",
1871
0
                                                     it1->second);
1872
0
                    }
1873
18.3k
                    _dest_slot_to_src_slot_index.emplace(_src_slot_descs_order_by_dest.size(),
1874
18.3k
                                                         full_src_index_map[_src_slot_it->first]);
1875
18.3k
                    _src_slot_descs_order_by_dest.emplace_back(_src_slot_it->second);
1876
18.3k
                }
1877
24.1k
            }
1878
24.2k
        }
1879
2.52k
    }
1880
2.55k
    return Status::OK();
1881
2.55k
}
1882
1883
12.6k
bool FileScanner::_should_enable_condition_cache() {
1884
12.6k
    DCHECK(_should_enable_condition_cache_handler != nullptr);
1885
12.6k
    if (_condition_cache_digest == 0 || !(this->*_should_enable_condition_cache_handler)()) {
1886
12.5k
        return false;
1887
12.5k
    }
1888
1889
    // Condition cache starts as all-false and is turned true only by native readers when a
1890
    // row-level predicate leaves at least one row in the granule. COUNT pushdown may replace the
1891
    // native reader with CountReader, which only emits row counts and never runs that marking path.
1892
1
    if (_get_push_down_agg_type() == TPushAggOp::type::COUNT) {
1893
0
        return false;
1894
0
    }
1895
1896
    // The cache is populated by native readers while evaluating pushed-down predicates.
1897
    // Scanner-only predicates cannot mark reader granules, so there is nothing useful to cache.
1898
5
    if (_push_down_conjuncts.empty()) {
1899
5
        return false;
1900
5
    }
1901
1902
    // Runtime filters are query-local dynamic predicates. Some ready RF implementations can hash
1903
    // their payload into get_digest(), but FileScanner cannot rely on that for all RFs reaching the
1904
    // native reader. In particular, ScanLocalState computes _condition_cache_digest during open(),
1905
    // while FileScanner may append late-arrival RFs in _process_late_arrival_conjuncts()
1906
    // immediately before initializing Parquet/ORC readers.
1907
    //
1908
    // Reading a weaker cache entry would be safe by itself: if a cached bitmap only represented
1909
    // static predicate P, false granules for P are also false for P AND RF. The unsafe part is
1910
    // writing. On cache miss, native readers mark survivor granules using all pushed-down
1911
    // predicates, including late RFs. Without a read-only cache mode, this would insert a bitmap for
1912
    // P AND RF under a digest that only represents P.
1913
    //
1914
    // Example:
1915
    //   Q1 static predicate: k = 1, late RF payload: partition_key IN ('2024-02-01')
1916
    //   Q2 static predicate: k = 1, late RF payload: partition_key IN ('2024-03-01')
1917
    // If both scans share the same file/range/digest, reusing Q1's bitmap for Q2 can skip row
1918
    // ranges according to the wrong RF payload. Keep RF predicate pushdown enabled for reader-side
1919
    // filtering, but do not persist its result in condition cache.
1920
18.4E
    return !_contains_runtime_filter(_conjuncts) && !_contains_runtime_filter(_push_down_conjuncts);
1921
1
}
1922
1923
0
bool FileScanner::_should_enable_condition_cache_for_load() const {
1924
0
    return false;
1925
0
}
1926
1927
5
bool FileScanner::_should_enable_condition_cache_for_query() const {
1928
5
    return true;
1929
5
}
1930
1931
2.52k
bool FileScanner::_should_push_down_predicates(TFileFormatType::type format_type) const {
1932
2.52k
    DCHECK(_should_push_down_predicates_handler != nullptr);
1933
2.52k
    return (this->*_should_push_down_predicates_handler)(format_type);
1934
2.52k
}
1935
1936
2.52k
bool FileScanner::_should_push_down_predicates_for_load(TFileFormatType::type format_type) const {
1937
2.52k
    static_cast<void>(format_type);
1938
2.52k
    return false;
1939
2.52k
}
1940
1941
1
bool FileScanner::_should_push_down_predicates_for_query(TFileFormatType::type format_type) const {
1942
    // JNI readers handle predicate conversion in their own paths.
1943
1
    return format_type != TFileFormatType::FORMAT_JNI;
1944
1
}
1945
1946
5.03k
void FileScanner::_init_reader_condition_cache() {
1947
5.03k
    _condition_cache = nullptr;
1948
5.03k
    _condition_cache_ctx = nullptr;
1949
1950
5.03k
    if (!_should_enable_condition_cache() || !_cur_reader) {
1951
5.03k
        return;
1952
5.03k
    }
1953
1954
    // Disable condition cache when delete operations exist (e.g. Iceberg position/equality
1955
    // deletes, Hive ACID deletes). Cached granule results may become stale if delete files
1956
    // change between queries while the data file's cache key remains the same.
1957
0
    if (_cur_reader->has_delete_operations()) {
1958
0
        return;
1959
0
    }
1960
1961
0
    auto* cache = segment_v2::ConditionCache::instance();
1962
0
    _condition_cache_key = segment_v2::ConditionCache::ExternalCacheKey(
1963
0
            _current_range.path,
1964
0
            _current_range.__isset.modification_time ? _current_range.modification_time : 0,
1965
0
            _current_range.__isset.file_size ? _current_range.file_size : -1,
1966
0
            _condition_cache_digest,
1967
0
            _current_range.__isset.start_offset ? _current_range.start_offset : 0,
1968
0
            _current_range.__isset.size ? _current_range.size : -1);
1969
1970
0
    segment_v2::ConditionCacheHandle handle;
1971
0
    auto condition_cache_hit = cache->lookup(_condition_cache_key, &handle);
1972
0
    if (condition_cache_hit) {
1973
0
        _condition_cache = handle.get_filter_result();
1974
0
        _condition_cache_hit_count++;
1975
0
    } else {
1976
        // Allocate cache pre-sized to total number of granules.
1977
        // We add +1 as a safety margin: when a file is split across multiple scanners
1978
        // and the first row of this scanner's range is not aligned to a granule boundary,
1979
        // the data may span one more granule than ceil(total_rows / GRANULE_SIZE).
1980
        // The extra element costs only 1 bit and never affects correctness (an extra
1981
        // false-granule beyond the actual data range won't overlap any real row range).
1982
0
        int64_t total_rows = _cur_reader->get_total_rows();
1983
0
        if (total_rows > 0) {
1984
0
            size_t num_granules = (total_rows + ConditionCacheContext::GRANULE_SIZE - 1) /
1985
0
                                  ConditionCacheContext::GRANULE_SIZE;
1986
0
            _condition_cache = std::make_shared<std::vector<bool>>(num_granules + 1, false);
1987
0
        }
1988
0
    }
1989
1990
0
    if (_condition_cache) {
1991
        // Create context to pass to readers (native readers use it; non-native readers ignore it)
1992
0
        _condition_cache_ctx = std::make_shared<ConditionCacheContext>();
1993
0
        _condition_cache_ctx->is_hit = condition_cache_hit;
1994
0
        _condition_cache_ctx->filter_result = _condition_cache;
1995
0
        _cur_reader->set_condition_cache_context(_condition_cache_ctx);
1996
0
    }
1997
0
}
1998
1999
7.56k
void FileScanner::_finalize_reader_condition_cache() {
2000
7.56k
    if (!_should_enable_condition_cache() || !_condition_cache_ctx ||
2001
7.56k
        _condition_cache_ctx->is_hit) {
2002
7.56k
        _condition_cache = nullptr;
2003
7.56k
        _condition_cache_ctx = nullptr;
2004
7.56k
        return;
2005
7.56k
    }
2006
    // Only store the cache if the reader was fully consumed. If the scan was
2007
    // truncated early (e.g. by LIMIT), the cache is incomplete — unread granules
2008
    // would remain false and cause surviving rows to be incorrectly skipped on HIT.
2009
18.4E
    if (!_cur_reader_eof) {
2010
0
        _condition_cache = nullptr;
2011
0
        _condition_cache_ctx = nullptr;
2012
0
        return;
2013
0
    }
2014
2015
18.4E
    auto* cache = segment_v2::ConditionCache::instance();
2016
18.4E
    cache->insert(_condition_cache_key, std::move(_condition_cache));
2017
18.4E
    _condition_cache = nullptr;
2018
18.4E
    _condition_cache_ctx = nullptr;
2019
18.4E
}
2020
2021
2.52k
Status FileScanner::close(RuntimeState* state) {
2022
2.52k
    if (!_try_close()) {
2023
0
        return Status::OK();
2024
0
    }
2025
2026
2.52k
    _finalize_reader_condition_cache();
2027
2028
2.52k
    if (_cur_reader) {
2029
13
        RETURN_IF_ERROR(_cur_reader->close());
2030
13
    }
2031
2032
2.52k
    RETURN_IF_ERROR(Scanner::close(state));
2033
2.52k
    return Status::OK();
2034
2.52k
}
2035
2036
2.52k
void FileScanner::try_stop() {
2037
2.52k
    Scanner::try_stop();
2038
2.52k
    if (_io_ctx) {
2039
2.52k
        _io_ctx->should_stop = true;
2040
2.52k
    }
2041
2.52k
}
2042
2043
8.24k
void FileScanner::update_realtime_counters() {
2044
8.24k
    FileScanLocalState* local_state = static_cast<FileScanLocalState*>(_local_state);
2045
2046
8.24k
    COUNTER_UPDATE(local_state->_scan_bytes, _file_reader_stats->read_bytes);
2047
8.24k
    COUNTER_UPDATE(local_state->_scan_rows, _file_reader_stats->read_rows);
2048
2049
8.24k
    _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_rows(
2050
8.24k
            _file_reader_stats->read_rows);
2051
8.24k
    _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_bytes(
2052
8.24k
            _file_reader_stats->read_bytes);
2053
2054
8.24k
    int64_t delta_bytes_read_from_local =
2055
8.24k
            _file_cache_statistics->bytes_read_from_local - _last_bytes_read_from_local;
2056
8.24k
    int64_t delta_bytes_read_from_remote =
2057
8.24k
            _file_cache_statistics->bytes_read_from_remote - _last_bytes_read_from_remote;
2058
8.24k
    if (_file_cache_statistics->bytes_read_from_local == 0 &&
2059
8.24k
        _file_cache_statistics->bytes_read_from_remote == 0) {
2060
8.24k
        _state->get_query_ctx()
2061
8.24k
                ->resource_ctx()
2062
8.24k
                ->io_context()
2063
8.24k
                ->update_scan_bytes_from_remote_storage(_file_reader_stats->read_bytes);
2064
8.24k
        DorisMetrics::instance()->query_scan_bytes_from_local->increment(
2065
8.24k
                _file_reader_stats->read_bytes);
2066
8.24k
    } else {
2067
0
        _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_bytes_from_local_storage(
2068
0
                delta_bytes_read_from_local);
2069
0
        _state->get_query_ctx()
2070
0
                ->resource_ctx()
2071
0
                ->io_context()
2072
0
                ->update_scan_bytes_from_remote_storage(delta_bytes_read_from_remote);
2073
0
        DorisMetrics::instance()->query_scan_bytes_from_local->increment(
2074
0
                delta_bytes_read_from_local);
2075
0
        DorisMetrics::instance()->query_scan_bytes_from_remote->increment(
2076
0
                delta_bytes_read_from_remote);
2077
0
    }
2078
2079
8.24k
    COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes);
2080
2081
8.24k
    DorisMetrics::instance()->query_scan_bytes->increment(_file_reader_stats->read_bytes);
2082
8.24k
    DorisMetrics::instance()->query_scan_rows->increment(_file_reader_stats->read_rows);
2083
2084
8.24k
    _file_reader_stats->read_bytes = 0;
2085
8.24k
    _file_reader_stats->read_rows = 0;
2086
2087
8.24k
    _last_bytes_read_from_local = _file_cache_statistics->bytes_read_from_local;
2088
8.24k
    _last_bytes_read_from_remote = _file_cache_statistics->bytes_read_from_remote;
2089
8.24k
}
2090
2091
2.52k
bool FileScanner::_should_update_load_counters() const {
2092
2.52k
    if (_is_load) {
2093
2.52k
        return true;
2094
2.52k
    }
2095
    // TVF based loads (e.g. http_stream, group commit relay) plan the load source as a
2096
    // tvf query scan without src tuple desc, so _is_load is false. But rows filtered by
2097
    // the load's WHERE clause still need to be reported as unselected rows. FILE_STREAM
2098
    // is only reachable from such load entries, never from normal queries, so use it to
2099
    // identify these scanners.
2100
1
    return (_params->__isset.file_type && _params->file_type == TFileType::FILE_STREAM) ||
2101
1
           (_current_range.__isset.file_type && _current_range.file_type == TFileType::FILE_STREAM);
2102
2.52k
}
2103
2104
2.52k
void FileScanner::_collect_profile_before_close() {
2105
2.52k
    Scanner::_collect_profile_before_close();
2106
2.52k
    if (config::enable_file_cache && _state->query_options().enable_file_cache &&
2107
2.52k
        _profile != nullptr) {
2108
0
        io::FileCacheProfileReporter cache_profile(_profile);
2109
0
        cache_profile.update(_file_cache_statistics.get());
2110
0
        _state->get_query_ctx()->resource_ctx()->io_context()->update_bytes_write_into_cache(
2111
0
                _file_cache_statistics->bytes_write_into_cache);
2112
0
    }
2113
2114
2.52k
    if (_cur_reader != nullptr) {
2115
13
        _cur_reader->collect_profile_before_close();
2116
13
    }
2117
2118
2.52k
    FileScanLocalState* local_state = static_cast<FileScanLocalState*>(_local_state);
2119
2.52k
    COUNTER_UPDATE(local_state->_scan_bytes, _file_reader_stats->read_bytes);
2120
2.52k
    COUNTER_UPDATE(local_state->_scan_rows, _file_reader_stats->read_rows);
2121
2122
2.52k
    COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes);
2123
2.52k
    COUNTER_UPDATE(_file_read_calls_counter, _file_reader_stats->read_calls);
2124
2.52k
    COUNTER_UPDATE(_file_read_time_counter, _file_reader_stats->read_time_ns);
2125
2.52k
    COUNTER_UPDATE(local_state->_condition_cache_hit_counter, _condition_cache_hit_count);
2126
2.52k
    if (_io_ctx) {
2127
2.52k
        COUNTER_UPDATE(local_state->_condition_cache_filtered_rows_counter,
2128
2.52k
                       _io_ctx->condition_cache_filtered_rows);
2129
2.52k
    }
2130
2131
2.52k
    DorisMetrics::instance()->query_scan_bytes->increment(_file_reader_stats->read_bytes);
2132
2.52k
    DorisMetrics::instance()->query_scan_rows->increment(_file_reader_stats->read_rows);
2133
2.52k
}
2134
2135
} // namespace doris