be/src/exec/scan/file_scanner.cpp
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1 | | // Licensed to the Apache Software Foundation (ASF) under one |
2 | | // or more contributor license agreements. See the NOTICE file |
3 | | // distributed with this work for additional information |
4 | | // 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 |
8 | | // |
9 | | // http://www.apache.org/licenses/LICENSE-2.0 |
10 | | // |
11 | | // Unless required by applicable law or agreed to in writing, |
12 | | // 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 |
16 | | // 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/compiler_util.h" // IWYU pragma: keep |
37 | | #include "common/config.h" |
38 | | #include "common/consts.h" |
39 | | #include "common/logging.h" |
40 | | #include "common/status.h" |
41 | | #include "core/block/column_with_type_and_name.h" |
42 | | #include "core/block/columns_with_type_and_name.h" |
43 | | #include "core/column/column.h" |
44 | | #include "core/column/column_nullable.h" |
45 | | #include "core/column/column_vector.h" |
46 | | #include "core/data_type/data_type.h" |
47 | | #include "core/data_type/data_type_nullable.h" |
48 | | #include "core/data_type/data_type_string.h" |
49 | | #include "core/string_ref.h" |
50 | | #include "exec/common/stringop_substring.h" |
51 | | #include "exec/rowid_fetcher.h" |
52 | | #include "exec/scan/scan_node.h" |
53 | | #include "exprs/aggregate/aggregate_function.h" |
54 | | #include "exprs/function/function.h" |
55 | | #include "exprs/function/simple_function_factory.h" |
56 | | #include "exprs/vexpr.h" |
57 | | #include "exprs/vexpr_context.h" |
58 | | #include "exprs/vexpr_fwd.h" |
59 | | #include "exprs/vslot_ref.h" |
60 | | #include "format/arrow/arrow_stream_reader.h" |
61 | | #include "format/count_reader.h" |
62 | | #include "format/csv/csv_reader.h" |
63 | | #include "format/json/new_json_reader.h" |
64 | | #include "format/native/native_reader.h" |
65 | | #include "format/orc/vorc_reader.h" |
66 | | #include "format/parquet/vparquet_reader.h" |
67 | | #include "format/table/hive_reader.h" |
68 | | #include "format/table/hudi_jni_reader.h" |
69 | | #include "format/table/hudi_reader.h" |
70 | | #include "format/table/iceberg_reader.h" |
71 | | #include "format/table/iceberg_sys_table_jni_reader.h" |
72 | | #include "format/table/jdbc_jni_reader.h" |
73 | | #include "format/table/max_compute_jni_reader.h" |
74 | | #include "format/table/paimon_cpp_reader.h" |
75 | | #include "format/table/paimon_jni_reader.h" |
76 | | #include "format/table/paimon_predicate_converter.h" |
77 | | #include "format/table/paimon_reader.h" |
78 | | #include "format/table/remote_doris_reader.h" |
79 | | #include "format/table/transactional_hive_reader.h" |
80 | | #include "format/table/trino_connector_jni_reader.h" |
81 | | #include "format/text/text_reader.h" |
82 | | #include "io/cache/block_file_cache_profile.h" |
83 | | #include "load/group_commit/wal/wal_reader.h" |
84 | | #include "runtime/descriptors.h" |
85 | | #include "runtime/runtime_profile.h" |
86 | | #include "runtime/runtime_state.h" |
87 | | |
88 | | namespace cctz { |
89 | | class time_zone; |
90 | | } // namespace cctz |
91 | | namespace doris { |
92 | | class ShardedKVCache; |
93 | | } // namespace doris |
94 | | |
95 | | namespace doris { |
96 | | #include "common/compile_check_begin.h" |
97 | | using namespace ErrorCode; |
98 | | |
99 | | const std::string FileScanner::FileReadBytesProfile = "FileReadBytes"; |
100 | | const std::string FileScanner::FileReadTimeProfile = "FileReadTime"; |
101 | | |
102 | | FileScanner::FileScanner(RuntimeState* state, FileScanLocalState* local_state, int64_t limit, |
103 | | std::shared_ptr<SplitSourceConnector> split_source, |
104 | | RuntimeProfile* profile, ShardedKVCache* kv_cache, |
105 | | const std::unordered_map<std::string, int>* colname_to_slot_id) |
106 | 85.7k | : Scanner(state, local_state, limit, profile), |
107 | 85.7k | _split_source(split_source), |
108 | 85.7k | _cur_reader(nullptr), |
109 | 85.7k | _cur_reader_eof(false), |
110 | 85.7k | _kv_cache(kv_cache), |
111 | 85.7k | _strict_mode(false), |
112 | 85.7k | _col_name_to_slot_id(colname_to_slot_id) { |
113 | 85.7k | if (state->get_query_ctx() != nullptr && |
114 | 85.7k | state->get_query_ctx()->file_scan_range_params_map.count(local_state->parent_id()) > 0) { |
115 | 83.2k | _params = &(state->get_query_ctx()->file_scan_range_params_map[local_state->parent_id()]); |
116 | 83.2k | } else { |
117 | | // old fe thrift protocol |
118 | 2.45k | _params = _split_source->get_params(); |
119 | 2.45k | } |
120 | 85.7k | if (_params->__isset.strict_mode) { |
121 | 2.48k | _strict_mode = _params->strict_mode; |
122 | 2.48k | } |
123 | | |
124 | | // For load scanner, there are input and output tuple. |
125 | | // For query scanner, there is only output tuple |
126 | 85.7k | _input_tuple_desc = state->desc_tbl().get_tuple_descriptor(_params->src_tuple_id); |
127 | 85.7k | _real_tuple_desc = _input_tuple_desc == nullptr ? _output_tuple_desc : _input_tuple_desc; |
128 | 85.7k | _is_load = (_input_tuple_desc != nullptr); |
129 | 85.7k | _configure_file_scan_handlers(); |
130 | 85.7k | } |
131 | | |
132 | 88.8k | void FileScanner::_configure_file_scan_handlers() { |
133 | 88.8k | if (_is_load) { |
134 | 2.49k | _init_src_block_handler = &FileScanner::_init_src_block_for_load; |
135 | 2.49k | _process_src_block_after_read_handler = |
136 | 2.49k | &FileScanner::_process_src_block_after_read_for_load; |
137 | 2.49k | _should_push_down_predicates_handler = &FileScanner::_should_push_down_predicates_for_load; |
138 | 2.49k | _should_enable_condition_cache_handler = |
139 | 2.49k | &FileScanner::_should_enable_condition_cache_for_load; |
140 | 86.3k | } else { |
141 | 86.3k | _init_src_block_handler = &FileScanner::_init_src_block_for_query; |
142 | 86.3k | _process_src_block_after_read_handler = |
143 | 86.3k | &FileScanner::_process_src_block_after_read_for_query; |
144 | 86.3k | _should_push_down_predicates_handler = &FileScanner::_should_push_down_predicates_for_query; |
145 | 86.3k | _should_enable_condition_cache_handler = |
146 | 86.3k | &FileScanner::_should_enable_condition_cache_for_query; |
147 | 86.3k | } |
148 | 88.8k | } |
149 | | |
150 | 85.6k | Status FileScanner::init(RuntimeState* state, const VExprContextSPtrs& conjuncts) { |
151 | 85.6k | RETURN_IF_ERROR(Scanner::init(state, conjuncts)); |
152 | 85.6k | _get_block_timer = |
153 | 85.6k | ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), "FileScannerGetBlockTime", 1); |
154 | 85.6k | _cast_to_input_block_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), |
155 | 85.6k | "FileScannerCastInputBlockTime", 1); |
156 | 85.6k | _fill_missing_columns_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), |
157 | 85.6k | "FileScannerFillMissingColumnTime", 1); |
158 | 85.6k | _pre_filter_timer = |
159 | 85.6k | ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), "FileScannerPreFilterTimer", 1); |
160 | 85.6k | _convert_to_output_block_timer = ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), |
161 | 85.6k | "FileScannerConvertOuputBlockTime", 1); |
162 | 85.6k | _runtime_filter_partition_prune_timer = ADD_TIMER_WITH_LEVEL( |
163 | 85.6k | _local_state->scanner_profile(), "FileScannerRuntimeFilterPartitionPruningTime", 1); |
164 | 85.6k | _empty_file_counter = |
165 | 85.6k | ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), "EmptyFileNum", TUnit::UNIT, 1); |
166 | 85.6k | _not_found_file_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), |
167 | 85.6k | "NotFoundFileNum", TUnit::UNIT, 1); |
168 | 85.6k | _fully_skipped_file_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), |
169 | 85.6k | "FullySkippedFileNum", TUnit::UNIT, 1); |
170 | 85.6k | _file_counter = |
171 | 85.6k | ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), "FileNumber", TUnit::UNIT, 1); |
172 | | |
173 | 85.6k | _file_read_bytes_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), |
174 | 85.6k | FileReadBytesProfile, TUnit::BYTES, 1); |
175 | 85.6k | _file_read_calls_counter = ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), |
176 | 85.6k | "FileReadCalls", TUnit::UNIT, 1); |
177 | 85.6k | _file_read_time_counter = |
178 | 85.6k | ADD_TIMER_WITH_LEVEL(_local_state->scanner_profile(), FileReadTimeProfile, 1); |
179 | | |
180 | 85.6k | _runtime_filter_partition_pruned_range_counter = |
181 | 85.6k | ADD_COUNTER_WITH_LEVEL(_local_state->scanner_profile(), |
182 | 85.6k | "RuntimeFilterPartitionPrunedRangeNum", TUnit::UNIT, 1); |
183 | | |
184 | 85.6k | _file_cache_statistics.reset(new io::FileCacheStatistics()); |
185 | 85.6k | _file_reader_stats.reset(new io::FileReaderStats()); |
186 | | |
187 | 85.6k | RETURN_IF_ERROR(_init_io_ctx()); |
188 | 85.6k | _io_ctx->file_cache_stats = _file_cache_statistics.get(); |
189 | 85.6k | _io_ctx->file_reader_stats = _file_reader_stats.get(); |
190 | 85.6k | _io_ctx->is_disposable = _state->query_options().disable_file_cache; |
191 | | |
192 | 85.6k | if (_is_load) { |
193 | 2.48k | _src_row_desc.reset(new RowDescriptor(_state->desc_tbl(), |
194 | 2.48k | std::vector<TupleId>({_input_tuple_desc->id()}))); |
195 | | // prepare pre filters |
196 | 2.48k | if (_params->__isset.pre_filter_exprs_list) { |
197 | 4 | RETURN_IF_ERROR(doris::VExpr::create_expr_trees(_params->pre_filter_exprs_list, |
198 | 4 | _pre_conjunct_ctxs)); |
199 | 2.48k | } else if (_params->__isset.pre_filter_exprs) { |
200 | 0 | VExprContextSPtr context; |
201 | 0 | RETURN_IF_ERROR(doris::VExpr::create_expr_tree(_params->pre_filter_exprs, context)); |
202 | 0 | _pre_conjunct_ctxs.emplace_back(context); |
203 | 0 | } |
204 | | |
205 | 2.48k | for (auto& conjunct : _pre_conjunct_ctxs) { |
206 | 5 | RETURN_IF_ERROR(conjunct->prepare(_state, *_src_row_desc)); |
207 | 5 | RETURN_IF_ERROR(conjunct->open(_state)); |
208 | 5 | } |
209 | | |
210 | 2.48k | _dest_row_desc.reset(new RowDescriptor(_state->desc_tbl(), |
211 | 2.48k | std::vector<TupleId>({_output_tuple_desc->id()}))); |
212 | 2.48k | } |
213 | | |
214 | 85.6k | _default_val_row_desc.reset( |
215 | 85.6k | new RowDescriptor(_state->desc_tbl(), std::vector<TupleId>({_real_tuple_desc->id()}))); |
216 | | |
217 | 85.6k | return Status::OK(); |
218 | 85.6k | } |
219 | | |
220 | | // check if the expr is a partition pruning expr |
221 | 27.2k | bool FileScanner::_check_partition_prune_expr(const VExprSPtr& expr) { |
222 | 27.2k | if (expr->is_slot_ref()) { |
223 | 10.7k | auto* slot_ref = static_cast<VSlotRef*>(expr.get()); |
224 | 10.7k | return _partition_slot_index_map.find(slot_ref->slot_id()) != |
225 | 10.7k | _partition_slot_index_map.end(); |
226 | 10.7k | } |
227 | 16.4k | if (expr->is_literal()) { |
228 | 5.09k | return true; |
229 | 5.09k | } |
230 | 16.6k | return std::ranges::all_of(expr->children(), [this](const auto& child) { |
231 | 16.6k | return _check_partition_prune_expr(child); |
232 | 16.6k | }); |
233 | 16.4k | } |
234 | | |
235 | 10.2k | void FileScanner::_init_runtime_filter_partition_prune_ctxs() { |
236 | 10.2k | _runtime_filter_partition_prune_ctxs.clear(); |
237 | 10.6k | for (auto& conjunct : _conjuncts) { |
238 | 10.6k | auto impl = conjunct->root()->get_impl(); |
239 | | // If impl is not null, which means this a conjuncts from runtime filter. |
240 | 10.6k | auto expr = impl ? impl : conjunct->root(); |
241 | 10.6k | if (_check_partition_prune_expr(expr)) { |
242 | 7.50k | _runtime_filter_partition_prune_ctxs.emplace_back(conjunct); |
243 | 7.50k | } |
244 | 10.6k | } |
245 | 10.2k | } |
246 | | |
247 | 6.62k | void FileScanner::_init_runtime_filter_partition_prune_block() { |
248 | | // init block with empty column |
249 | 56.5k | for (auto const* slot_desc : _real_tuple_desc->slots()) { |
250 | 56.5k | _runtime_filter_partition_prune_block.insert( |
251 | 56.5k | ColumnWithTypeAndName(slot_desc->get_empty_mutable_column(), |
252 | 56.5k | slot_desc->get_data_type_ptr(), slot_desc->col_name())); |
253 | 56.5k | } |
254 | 6.62k | } |
255 | | |
256 | 7.18k | Status FileScanner::_process_runtime_filters_partition_prune(bool& can_filter_all) { |
257 | 7.18k | SCOPED_TIMER(_runtime_filter_partition_prune_timer); |
258 | 7.18k | if (_runtime_filter_partition_prune_ctxs.empty() || _partition_col_descs.empty()) { |
259 | 5.77k | return Status::OK(); |
260 | 5.77k | } |
261 | 1.41k | size_t partition_value_column_size = 1; |
262 | | |
263 | | // 1. Get partition key values to string columns. |
264 | 1.41k | std::unordered_map<SlotId, MutableColumnPtr> partition_slot_id_to_column; |
265 | 2.13k | for (auto const& partition_col_desc : _partition_col_descs) { |
266 | 2.13k | const auto& [partition_value, partition_slot_desc] = partition_col_desc.second; |
267 | 2.13k | auto data_type = partition_slot_desc->get_data_type_ptr(); |
268 | 2.13k | auto test_serde = data_type->get_serde(); |
269 | 2.13k | auto partition_value_column = data_type->create_column(); |
270 | 2.13k | auto* col_ptr = static_cast<IColumn*>(partition_value_column.get()); |
271 | 2.13k | Slice slice(partition_value.data(), partition_value.size()); |
272 | 2.13k | uint64_t num_deserialized = 0; |
273 | 2.13k | DataTypeSerDe::FormatOptions options {}; |
274 | 2.13k | if (_partition_value_is_null.contains(partition_slot_desc->col_name())) { |
275 | | // for iceberg/paimon table |
276 | | // NOTICE: column is always be nullable for iceberg/paimon table now |
277 | 0 | DCHECK(data_type->is_nullable()); |
278 | 0 | test_serde = test_serde->get_nested_serdes()[0]; |
279 | 0 | auto* null_column = assert_cast<ColumnNullable*>(col_ptr); |
280 | 0 | if (_partition_value_is_null[partition_slot_desc->col_name()]) { |
281 | 0 | null_column->insert_many_defaults(partition_value_column_size); |
282 | 0 | } else { |
283 | | // If the partition value is not null, we set null map to 0 and deserialize it normally. |
284 | 0 | null_column->get_null_map_column().insert_many_vals(0, partition_value_column_size); |
285 | 0 | RETURN_IF_ERROR(test_serde->deserialize_column_from_fixed_json( |
286 | 0 | null_column->get_nested_column(), slice, partition_value_column_size, |
287 | 0 | &num_deserialized, options)); |
288 | 0 | } |
289 | 2.13k | } else { |
290 | | // for hive/hudi table, the null value is set as "\\N" |
291 | | // TODO: this will be unified as iceberg/paimon table in the future |
292 | 2.13k | RETURN_IF_ERROR(test_serde->deserialize_column_from_fixed_json( |
293 | 2.13k | *col_ptr, slice, partition_value_column_size, &num_deserialized, options)); |
294 | 2.13k | } |
295 | | |
296 | 2.13k | partition_slot_id_to_column[partition_slot_desc->id()] = std::move(partition_value_column); |
297 | 2.13k | } |
298 | | |
299 | | // 2. Fill _runtime_filter_partition_prune_block from the partition column, then execute conjuncts and filter block. |
300 | | // 2.1 Fill _runtime_filter_partition_prune_block from the partition column to match the conjuncts executing. |
301 | 1.41k | size_t index = 0; |
302 | 1.41k | bool first_column_filled = false; |
303 | 4.52k | for (auto const* slot_desc : _real_tuple_desc->slots()) { |
304 | 4.52k | if (partition_slot_id_to_column.find(slot_desc->id()) != |
305 | 4.52k | partition_slot_id_to_column.end()) { |
306 | 2.13k | auto data_type = slot_desc->get_data_type_ptr(); |
307 | 2.13k | auto partition_value_column = std::move(partition_slot_id_to_column[slot_desc->id()]); |
308 | 2.13k | if (data_type->is_nullable()) { |
309 | 2.13k | _runtime_filter_partition_prune_block.insert( |
310 | 2.13k | index, ColumnWithTypeAndName( |
311 | 2.13k | ColumnNullable::create( |
312 | 2.13k | std::move(partition_value_column), |
313 | 2.13k | ColumnUInt8::create(partition_value_column_size, 0)), |
314 | 2.13k | data_type, slot_desc->col_name())); |
315 | 2.13k | } else { |
316 | 4 | _runtime_filter_partition_prune_block.insert( |
317 | 4 | index, ColumnWithTypeAndName(std::move(partition_value_column), data_type, |
318 | 4 | slot_desc->col_name())); |
319 | 4 | } |
320 | 2.13k | if (index == 0) { |
321 | 216 | first_column_filled = true; |
322 | 216 | } |
323 | 2.13k | } |
324 | 4.52k | index++; |
325 | 4.52k | } |
326 | | |
327 | | // 2.2 Execute conjuncts. |
328 | 1.41k | if (!first_column_filled) { |
329 | | // VExprContext.execute has an optimization, the filtering is executed when block->rows() > 0 |
330 | | // The following process may be tricky and time-consuming, but we have no other way. |
331 | 1.19k | _runtime_filter_partition_prune_block.get_by_position(0).column->assume_mutable()->resize( |
332 | 1.19k | partition_value_column_size); |
333 | 1.19k | } |
334 | 1.41k | IColumn::Filter result_filter(_runtime_filter_partition_prune_block.rows(), 1); |
335 | 1.41k | RETURN_IF_ERROR(VExprContext::execute_conjuncts(_runtime_filter_partition_prune_ctxs, nullptr, |
336 | 1.41k | &_runtime_filter_partition_prune_block, |
337 | 1.41k | &result_filter, &can_filter_all)); |
338 | 1.41k | return Status::OK(); |
339 | 1.41k | } |
340 | | |
341 | 20.6k | Status FileScanner::_process_conjuncts() { |
342 | 20.6k | _slot_id_to_filter_conjuncts.clear(); |
343 | 20.6k | _not_single_slot_filter_conjuncts.clear(); |
344 | 29.2k | for (auto& conjunct : _push_down_conjuncts) { |
345 | 29.2k | auto impl = conjunct->root()->get_impl(); |
346 | | // If impl is not null, which means this a conjuncts from runtime filter. |
347 | 29.2k | auto cur_expr = impl ? impl : conjunct->root(); |
348 | | |
349 | 29.2k | std::vector<int> slot_ids; |
350 | 29.2k | _get_slot_ids(cur_expr.get(), &slot_ids); |
351 | 29.2k | if (slot_ids.empty()) { |
352 | 1 | _not_single_slot_filter_conjuncts.emplace_back(conjunct); |
353 | 1 | continue; |
354 | 1 | } |
355 | 29.2k | bool single_slot = true; |
356 | 29.3k | for (int i = 1; i < slot_ids.size(); i++) { |
357 | 874 | if (slot_ids[i] != slot_ids[0]) { |
358 | 768 | single_slot = false; |
359 | 768 | break; |
360 | 768 | } |
361 | 874 | } |
362 | 29.2k | if (single_slot) { |
363 | 28.3k | SlotId slot_id = slot_ids[0]; |
364 | 28.3k | _slot_id_to_filter_conjuncts[slot_id].emplace_back(conjunct); |
365 | 28.3k | } else { |
366 | 860 | _not_single_slot_filter_conjuncts.emplace_back(conjunct); |
367 | 860 | } |
368 | 29.2k | } |
369 | 20.6k | return Status::OK(); |
370 | 20.6k | } |
371 | | |
372 | 56.5k | Status FileScanner::_process_late_arrival_conjuncts() { |
373 | 56.5k | if (_push_down_conjuncts.size() < _conjuncts.size()) { |
374 | 20.6k | _push_down_conjuncts = _conjuncts; |
375 | | // Do not clear _conjuncts here! |
376 | | // We must keep it for fallback filtering, especially when mixing |
377 | | // Native readers (which use _push_down_conjuncts) and JNI readers (which rely on _conjuncts). |
378 | | // _conjuncts.clear(); |
379 | 20.6k | RETURN_IF_ERROR(_process_conjuncts()); |
380 | 20.6k | } |
381 | 56.5k | if (_applied_rf_num == _total_rf_num) { |
382 | 54.0k | _local_state->scanner_profile()->add_info_string("ApplyAllRuntimeFilters", "True"); |
383 | 54.0k | } |
384 | 56.5k | return Status::OK(); |
385 | 56.5k | } |
386 | | |
387 | 61.8k | void FileScanner::_get_slot_ids(VExpr* expr, std::vector<int>* slot_ids) { |
388 | 62.7k | for (auto& child_expr : expr->children()) { |
389 | 62.7k | if (child_expr->is_slot_ref()) { |
390 | 30.0k | VSlotRef* slot_ref = reinterpret_cast<VSlotRef*>(child_expr.get()); |
391 | 30.0k | SlotDescriptor* slot_desc = _state->desc_tbl().get_slot_descriptor(slot_ref->slot_id()); |
392 | 30.0k | slot_desc->set_is_predicate(true); |
393 | 30.0k | slot_ids->emplace_back(slot_ref->slot_id()); |
394 | 32.6k | } else { |
395 | 32.6k | _get_slot_ids(child_expr.get(), slot_ids); |
396 | 32.6k | } |
397 | 62.7k | } |
398 | 61.8k | } |
399 | | |
400 | 85.7k | Status FileScanner::_open_impl(RuntimeState* state) { |
401 | 85.7k | RETURN_IF_CANCELLED(state); |
402 | 85.7k | RETURN_IF_ERROR(Scanner::_open_impl(state)); |
403 | 85.7k | if (_local_state) { |
404 | 85.7k | _condition_cache_digest = _local_state->get_condition_cache_digest(); |
405 | 85.7k | } |
406 | 85.7k | RETURN_IF_ERROR(_split_source->get_next(&_first_scan_range, &_current_range)); |
407 | 85.7k | if (_first_scan_range) { |
408 | 49.2k | RETURN_IF_ERROR(_init_expr_ctxes()); |
409 | 49.2k | if (_state->query_options().enable_runtime_filter_partition_prune && |
410 | 49.2k | !_partition_slot_index_map.empty()) { |
411 | 6.64k | _init_runtime_filter_partition_prune_ctxs(); |
412 | 6.64k | _init_runtime_filter_partition_prune_block(); |
413 | 6.64k | } |
414 | 49.2k | } else { |
415 | | // there's no scan range in split source. stop scanner directly. |
416 | 36.5k | _scanner_eof = true; |
417 | 36.5k | } |
418 | | |
419 | 85.7k | return Status::OK(); |
420 | 85.7k | } |
421 | | |
422 | 259k | Status FileScanner::_get_block_impl(RuntimeState* state, Block* block, bool* eof) { |
423 | 259k | Status st = _get_block_wrapped(state, block, eof); |
424 | | |
425 | 259k | if (!st.ok()) { |
426 | | // add cur path in error msg for easy debugging |
427 | 68 | return std::move(st.append(". cur path: " + get_current_scan_range_name())); |
428 | 68 | } |
429 | 259k | return st; |
430 | 259k | } |
431 | | |
432 | | // For query: |
433 | | // [exist cols] [non-exist cols] [col from path] input output |
434 | | // A B C D E |
435 | | // _init_src_block x x x x x - x |
436 | | // get_next_block x x x - - - x |
437 | | // _cast_to_input_block - - - - - - - |
438 | | // _fill_columns_from_path - - - - x - x |
439 | | // _fill_missing_columns - - - x - - x |
440 | | // _convert_to_output_block - - - - - - - |
441 | | // |
442 | | // For load: |
443 | | // [exist cols] [non-exist cols] [col from path] input output |
444 | | // A B C D E |
445 | | // _init_src_block x x x x x x - |
446 | | // get_next_block x x x - - x - |
447 | | // _cast_to_input_block x x x - - x - |
448 | | // _fill_columns_from_path - - - - x x - |
449 | | // _fill_missing_columns - - - x - x - |
450 | | // _convert_to_output_block - - - - - - x |
451 | 259k | Status FileScanner::_get_block_wrapped(RuntimeState* state, Block* block, bool* eof) { |
452 | 259k | do { |
453 | 259k | RETURN_IF_CANCELLED(state); |
454 | 259k | if (_cur_reader == nullptr || _cur_reader_eof) { |
455 | 155k | _finalize_reader_condition_cache(); |
456 | | // The file may not exist because the file list is got from meta cache, |
457 | | // And the file may already be removed from storage. |
458 | | // Just ignore not found files. |
459 | 155k | Status st = _get_next_reader(); |
460 | 155k | if (st.is<ErrorCode::NOT_FOUND>() && config::ignore_not_found_file_in_external_table) { |
461 | 0 | _cur_reader_eof = true; |
462 | 0 | COUNTER_UPDATE(_not_found_file_counter, 1); |
463 | 0 | continue; |
464 | 155k | } else if (st.is<ErrorCode::END_OF_FILE>()) { |
465 | 12 | _cur_reader_eof = true; |
466 | 12 | COUNTER_UPDATE(_fully_skipped_file_counter, 1); |
467 | 12 | continue; |
468 | 155k | } else if (!st) { |
469 | 2 | return st; |
470 | 2 | } |
471 | 155k | _init_reader_condition_cache(); |
472 | 155k | } |
473 | | |
474 | 259k | if (_scanner_eof) { |
475 | 85.1k | *eof = true; |
476 | 85.1k | return Status::OK(); |
477 | 85.1k | } |
478 | | |
479 | | // Init src block for load job based on the data file schema (e.g. parquet) |
480 | | // For query job, simply set _src_block_ptr to block. |
481 | 174k | size_t read_rows = 0; |
482 | 174k | RETURN_IF_ERROR(_init_src_block(block)); |
483 | 174k | { |
484 | 174k | SCOPED_TIMER(_get_block_timer); |
485 | | |
486 | | // Read next block. |
487 | | // Some of column in block may not be filled (column not exist in file) |
488 | 174k | RETURN_IF_ERROR( |
489 | 174k | _cur_reader->get_next_block(_src_block_ptr, &read_rows, &_cur_reader_eof)); |
490 | 174k | } |
491 | | // use read_rows instead of _src_block_ptr->rows(), because the first column of _src_block_ptr |
492 | | // may not be filled after calling `get_next_block()`, so _src_block_ptr->rows() may return wrong result. |
493 | 174k | if (read_rows > 0) { |
494 | 112k | if ((!_cur_reader->count_read_rows()) && _io_ctx) { |
495 | 17.7k | _io_ctx->file_reader_stats->read_rows += read_rows; |
496 | 17.7k | } |
497 | | // If the push_down_agg_type is COUNT, no need to do the rest, |
498 | | // because we only save a number in block. |
499 | 112k | if (_get_push_down_agg_type() != TPushAggOp::type::COUNT) { |
500 | 108k | RETURN_IF_ERROR(_process_src_block_after_read(block)); |
501 | 108k | } |
502 | 112k | } |
503 | 174k | break; |
504 | 174k | } while (true); |
505 | | |
506 | | // Update filtered rows and unselected rows for load, reset counter. |
507 | | // { |
508 | | // state->update_num_rows_load_filtered(_counter.num_rows_filtered); |
509 | | // state->update_num_rows_load_unselected(_counter.num_rows_unselected); |
510 | | // _reset_counter(); |
511 | | // } |
512 | 174k | return Status::OK(); |
513 | 259k | } |
514 | | |
515 | | /** |
516 | | * Check whether there are complex types in parquet/orc reader in broker/stream load. |
517 | | * Broker/stream load will cast any type as string type, and complex types will be casted wrong. |
518 | | * This is a temporary method, and will be replaced by tvf. |
519 | | */ |
520 | 7.90k | Status FileScanner::_check_output_block_types() { |
521 | | // Only called from _init_src_block_for_load, so _is_load is always true. |
522 | 7.90k | TFileFormatType::type format_type = _params->format_type; |
523 | 7.90k | if (format_type == TFileFormatType::FORMAT_PARQUET || |
524 | 7.90k | format_type == TFileFormatType::FORMAT_ORC) { |
525 | 1.67k | for (auto slot : _output_tuple_desc->slots()) { |
526 | 1.67k | if (is_complex_type(slot->type()->get_primitive_type())) { |
527 | 0 | return Status::InternalError( |
528 | 0 | "Parquet/orc doesn't support complex types in broker/stream load, " |
529 | 0 | "please use tvf(table value function) to insert complex types."); |
530 | 0 | } |
531 | 1.67k | } |
532 | 96 | } |
533 | 7.90k | return Status::OK(); |
534 | 7.90k | } |
535 | | |
536 | 174k | Status FileScanner::_init_src_block(Block* block) { |
537 | 174k | DCHECK(_init_src_block_handler != nullptr); |
538 | 174k | return (this->*_init_src_block_handler)(block); |
539 | 174k | } |
540 | | |
541 | 166k | Status FileScanner::_init_src_block_for_query(Block* block) { |
542 | 166k | _src_block_ptr = block; |
543 | | |
544 | | // Build name to index map only once on first call. |
545 | 166k | if (_src_block_name_to_idx.empty()) { |
546 | 49.8k | _src_block_name_to_idx = block->get_name_to_pos_map(); |
547 | 49.8k | } |
548 | 166k | return Status::OK(); |
549 | 166k | } |
550 | | |
551 | 7.90k | Status FileScanner::_init_src_block_for_load(Block* block) { |
552 | 7.90k | static_cast<void>(block); |
553 | 7.90k | RETURN_IF_ERROR(_check_output_block_types()); |
554 | | |
555 | | // if (_src_block_init) { |
556 | | // _src_block.clear_column_data(); |
557 | | // _src_block_ptr = &_src_block; |
558 | | // return Status::OK(); |
559 | | // } |
560 | | |
561 | 7.90k | _src_block.clear(); |
562 | 7.90k | uint32_t idx = 0; |
563 | | // slots in _input_tuple_desc contains all slots describe in load statement, eg: |
564 | | // -H "columns: k1, k2, tmp1, k3 = tmp1 + 1" |
565 | | // _input_tuple_desc will contains: k1, k2, tmp1 |
566 | | // and some of them are from file, such as k1 and k2, and some of them may not exist in file, such as tmp1 |
567 | | // _input_tuple_desc also contains columns from path |
568 | 89.3k | for (auto& slot : _input_tuple_desc->slots()) { |
569 | 89.3k | DataTypePtr data_type; |
570 | 89.3k | auto it = _slot_lower_name_to_col_type.find(slot->col_name()); |
571 | 89.3k | if (slot->is_skip_bitmap_col()) { |
572 | 314 | _skip_bitmap_col_idx = idx; |
573 | 314 | } |
574 | 89.3k | if (_params->__isset.sequence_map_col) { |
575 | 1.25k | if (_params->sequence_map_col == slot->col_name()) { |
576 | 198 | _sequence_map_col_uid = slot->col_unique_id(); |
577 | 198 | } |
578 | 1.25k | } |
579 | 89.3k | data_type = |
580 | 89.3k | it == _slot_lower_name_to_col_type.end() ? slot->type() : make_nullable(it->second); |
581 | 89.3k | MutableColumnPtr data_column = data_type->create_column(); |
582 | 89.3k | _src_block.insert( |
583 | 89.3k | ColumnWithTypeAndName(std::move(data_column), data_type, slot->col_name())); |
584 | 89.3k | _src_block_name_to_idx.emplace(slot->col_name(), idx++); |
585 | 89.3k | } |
586 | 7.90k | if (_params->__isset.sequence_map_col) { |
587 | 1.76k | for (const auto& slot : _output_tuple_desc->slots()) { |
588 | | // When the target table has seqeunce map column, _input_tuple_desc will not contains __DORIS_SEQUENCE_COL__, |
589 | | // so we should get its column unique id from _output_tuple_desc |
590 | 1.76k | if (slot->is_sequence_col()) { |
591 | 206 | _sequence_col_uid = slot->col_unique_id(); |
592 | 206 | } |
593 | 1.76k | } |
594 | 242 | } |
595 | 7.90k | _src_block_ptr = &_src_block; |
596 | 7.90k | _src_block_init = true; |
597 | 7.90k | return Status::OK(); |
598 | 7.90k | } |
599 | | |
600 | 5.42k | Status FileScanner::_cast_to_input_block(Block* block) { |
601 | | // Only called from _process_src_block_after_read_for_load, so _is_load is always true. |
602 | 5.42k | SCOPED_TIMER(_cast_to_input_block_timer); |
603 | | // cast primitive type(PT0) to primitive type(PT1) |
604 | 5.42k | uint32_t idx = 0; |
605 | 66.6k | for (auto& slot_desc : _input_tuple_desc->slots()) { |
606 | 66.6k | if (_slot_lower_name_to_col_type.find(slot_desc->col_name()) == |
607 | 66.6k | _slot_lower_name_to_col_type.end()) { |
608 | | // skip columns which does not exist in file |
609 | 456 | continue; |
610 | 456 | } |
611 | 66.2k | auto& arg = _src_block_ptr->get_by_position(_src_block_name_to_idx[slot_desc->col_name()]); |
612 | 66.2k | auto return_type = slot_desc->get_data_type_ptr(); |
613 | | // remove nullable here, let the get_function decide whether nullable |
614 | 66.2k | auto data_type = get_data_type_with_default_argument(remove_nullable(return_type)); |
615 | 66.2k | ColumnsWithTypeAndName arguments { |
616 | 66.2k | arg, {data_type->create_column(), data_type, slot_desc->col_name()}}; |
617 | 66.2k | auto func_cast = |
618 | 66.2k | SimpleFunctionFactory::instance().get_function("CAST", arguments, return_type, {}); |
619 | 66.2k | if (!func_cast) { |
620 | 0 | return Status::InternalError("Function CAST[arg={}, col name={}, return={}] not found!", |
621 | 0 | arg.type->get_name(), slot_desc->col_name(), |
622 | 0 | return_type->get_name()); |
623 | 0 | } |
624 | 66.2k | idx = _src_block_name_to_idx[slot_desc->col_name()]; |
625 | 66.2k | DCHECK(_state != nullptr); |
626 | 66.2k | auto ctx = FunctionContext::create_context(_state, {}, {}); |
627 | 66.2k | RETURN_IF_ERROR( |
628 | 66.2k | func_cast->execute(ctx.get(), *_src_block_ptr, {idx}, idx, arg.column->size())); |
629 | 66.2k | _src_block_ptr->get_by_position(idx).type = std::move(return_type); |
630 | 66.2k | } |
631 | 5.42k | return Status::OK(); |
632 | 5.42k | } |
633 | | |
634 | 5.42k | Status FileScanner::_pre_filter_src_block() { |
635 | | // Only called from _process_src_block_after_read_for_load, so _is_load is always true. |
636 | 5.42k | if (!_pre_conjunct_ctxs.empty()) { |
637 | 28 | SCOPED_TIMER(_pre_filter_timer); |
638 | 28 | auto origin_column_num = _src_block_ptr->columns(); |
639 | 28 | auto old_rows = _src_block_ptr->rows(); |
640 | 28 | RETURN_IF_ERROR( |
641 | 28 | VExprContext::filter_block(_pre_conjunct_ctxs, _src_block_ptr, origin_column_num)); |
642 | 28 | _counter.num_rows_unselected += old_rows - _src_block_ptr->rows(); |
643 | 28 | } |
644 | 5.42k | return Status::OK(); |
645 | 5.42k | } |
646 | | |
647 | 5.42k | Status FileScanner::_convert_to_output_block(Block* block) { |
648 | | // Only called from _process_src_block_after_read_for_load, so _is_load is always true. |
649 | 5.42k | SCOPED_TIMER(_convert_to_output_block_timer); |
650 | | // The block is passed from scanner context's free blocks, |
651 | | // which is initialized by output columns |
652 | | // so no need to clear it |
653 | | // block->clear(); |
654 | | |
655 | 5.42k | int ctx_idx = 0; |
656 | 5.42k | size_t rows = _src_block_ptr->rows(); |
657 | 5.42k | auto filter_column = ColumnUInt8::create(rows, 1); |
658 | 5.42k | auto& filter_map = filter_column->get_data(); |
659 | | |
660 | | // After convert, the column_ptr should be copied into output block. |
661 | | // Can not use block->insert() because it may cause use_count() non-zero bug |
662 | 5.42k | MutableBlock mutable_output_block = |
663 | 5.42k | VectorizedUtils::build_mutable_mem_reuse_block(block, *_dest_row_desc); |
664 | 5.42k | auto& mutable_output_columns = mutable_output_block.mutable_columns(); |
665 | | |
666 | 5.42k | std::vector<BitmapValue>* skip_bitmaps {nullptr}; |
667 | 5.42k | if (_should_process_skip_bitmap_col()) { |
668 | 157 | auto* skip_bitmap_nullable_col_ptr = |
669 | 157 | assert_cast<ColumnNullable*>(_src_block_ptr->get_by_position(_skip_bitmap_col_idx) |
670 | 157 | .column->assume_mutable() |
671 | 157 | .get()); |
672 | 157 | skip_bitmaps = &(assert_cast<ColumnBitmap*>( |
673 | 157 | skip_bitmap_nullable_col_ptr->get_nested_column_ptr().get()) |
674 | 157 | ->get_data()); |
675 | | // NOTE: |
676 | | // - If the table has sequence type column, __DORIS_SEQUENCE_COL__ will be put in _input_tuple_desc, so whether |
677 | | // __DORIS_SEQUENCE_COL__ will be marked in skip bitmap depends on whether it's specified in that row |
678 | | // - If the table has sequence map column, __DORIS_SEQUENCE_COL__ will not be put in _input_tuple_desc, |
679 | | // so __DORIS_SEQUENCE_COL__ will be ommited if it't specified in a row and will not be marked in skip bitmap. |
680 | | // So we should mark __DORIS_SEQUENCE_COL__ in skip bitmap here if the corresponding sequence map column us marked |
681 | 157 | if (_sequence_map_col_uid != -1) { |
682 | 347 | for (int j = 0; j < rows; ++j) { |
683 | 328 | if ((*skip_bitmaps)[j].contains(_sequence_map_col_uid)) { |
684 | 137 | (*skip_bitmaps)[j].add(_sequence_col_uid); |
685 | 137 | } |
686 | 328 | } |
687 | 19 | } |
688 | 157 | } |
689 | | |
690 | | // for (auto slot_desc : _output_tuple_desc->slots()) { |
691 | 78.1k | for (int j = 0; j < mutable_output_columns.size(); ++j) { |
692 | 72.7k | auto* slot_desc = _output_tuple_desc->slots()[j]; |
693 | 72.7k | int dest_index = ctx_idx; |
694 | 72.7k | ColumnPtr column_ptr; |
695 | | |
696 | 72.7k | auto& ctx = _dest_vexpr_ctx[dest_index]; |
697 | | // PT1 => dest primitive type |
698 | 72.7k | RETURN_IF_ERROR(ctx->execute(_src_block_ptr, column_ptr)); |
699 | | // column_ptr maybe a ColumnConst, convert it to a normal column |
700 | 72.7k | column_ptr = column_ptr->convert_to_full_column_if_const(); |
701 | 72.7k | DCHECK(column_ptr); |
702 | | |
703 | | // because of src_slot_desc is always be nullable, so the column_ptr after do dest_expr |
704 | | // is likely to be nullable |
705 | 72.7k | if (LIKELY(column_ptr->is_nullable())) { |
706 | 67.6k | const auto* nullable_column = reinterpret_cast<const ColumnNullable*>(column_ptr.get()); |
707 | 178M | for (int i = 0; i < rows; ++i) { |
708 | 178M | if (filter_map[i] && nullable_column->is_null_at(i)) { |
709 | | // skip checks for non-mentioned columns in flexible partial update |
710 | 2.01M | if (skip_bitmaps == nullptr || |
711 | 2.01M | !skip_bitmaps->at(i).contains(slot_desc->col_unique_id())) { |
712 | | // clang-format off |
713 | 1.96M | if (_strict_mode && (_src_slot_descs_order_by_dest[dest_index]) && |
714 | 1.96M | !_src_block_ptr->get_by_position(_dest_slot_to_src_slot_index[dest_index]).column->is_null_at(i)) { |
715 | 5.48k | filter_map[i] = false; |
716 | 5.48k | RETURN_IF_ERROR(_state->append_error_msg_to_file( |
717 | 5.48k | [&]() -> std::string { |
718 | 5.48k | return _src_block_ptr->dump_one_line(i, _num_of_columns_from_file); |
719 | 5.48k | }, |
720 | 5.48k | [&]() -> std::string { |
721 | 5.48k | auto raw_value = |
722 | 5.48k | _src_block_ptr->get_by_position(_dest_slot_to_src_slot_index[dest_index]).column->get_data_at(i); |
723 | 5.48k | std::string raw_string = raw_value.to_string(); |
724 | 5.48k | fmt::memory_buffer error_msg; |
725 | 5.48k | fmt::format_to(error_msg,"column({}) value is incorrect while strict mode is {}, src value is {}", |
726 | 5.48k | slot_desc->col_name(), _strict_mode, raw_string); |
727 | 5.48k | return fmt::to_string(error_msg); |
728 | 5.48k | })); |
729 | 1.95M | } else if (!slot_desc->is_nullable()) { |
730 | 648 | filter_map[i] = false; |
731 | 648 | RETURN_IF_ERROR(_state->append_error_msg_to_file( |
732 | 648 | [&]() -> std::string { |
733 | 648 | return _src_block_ptr->dump_one_line(i, _num_of_columns_from_file); |
734 | 648 | }, |
735 | 648 | [&]() -> std::string { |
736 | 648 | fmt::memory_buffer error_msg; |
737 | 648 | fmt::format_to(error_msg, "column({}) values is null while columns is not nullable", slot_desc->col_name()); |
738 | 648 | return fmt::to_string(error_msg); |
739 | 648 | })); |
740 | 648 | } |
741 | | // clang-format on |
742 | 1.96M | } |
743 | 2.01M | } |
744 | 178M | } |
745 | 67.6k | if (!slot_desc->is_nullable()) { |
746 | 42.2k | column_ptr = remove_nullable(column_ptr); |
747 | 42.2k | } |
748 | 67.6k | } else if (slot_desc->is_nullable()) { |
749 | 115 | column_ptr = make_nullable(column_ptr); |
750 | 115 | } |
751 | 72.7k | mutable_output_columns[j]->insert_range_from(*column_ptr, 0, rows); |
752 | 72.7k | ctx_idx++; |
753 | 72.7k | } |
754 | | |
755 | | // after do the dest block insert operation, clear _src_block to remove the reference of origin column |
756 | 5.42k | _src_block_ptr->clear(); |
757 | | |
758 | 5.42k | size_t dest_size = block->columns(); |
759 | | // do filter |
760 | 5.42k | block->insert(ColumnWithTypeAndName(std::move(filter_column), std::make_shared<DataTypeUInt8>(), |
761 | 5.42k | "filter column")); |
762 | 5.42k | RETURN_IF_ERROR(Block::filter_block(block, dest_size, dest_size)); |
763 | | |
764 | 5.42k | _counter.num_rows_filtered += rows - block->rows(); |
765 | 5.42k | return Status::OK(); |
766 | 5.42k | } |
767 | | |
768 | 108k | Status FileScanner::_process_src_block_after_read(Block* block) { |
769 | 108k | DCHECK(_process_src_block_after_read_handler != nullptr); |
770 | 108k | return (this->*_process_src_block_after_read_handler)(block); |
771 | 108k | } |
772 | | |
773 | 103k | Status FileScanner::_process_src_block_after_read_for_query(Block* block) { |
774 | | // Truncate CHAR/VARCHAR columns when target size is smaller than file schema. |
775 | | // This is needed for external table queries with truncate_char_or_varchar_columns=true. |
776 | 103k | RETURN_IF_ERROR(_truncate_char_or_varchar_columns(block)); |
777 | 103k | return Status::OK(); |
778 | 103k | } |
779 | | |
780 | 5.42k | Status FileScanner::_process_src_block_after_read_for_load(Block* block) { |
781 | | // Convert the src block columns type in-place. |
782 | 5.42k | RETURN_IF_ERROR(_cast_to_input_block(block)); |
783 | | // All readers fill partition and missing columns inside get_next_block: |
784 | | // ORC/Parquet: in _do_get_next_block via on_fill_partition_columns/on_fill_missing_columns |
785 | | // CSV/JSON/others: in on_after_read_block via fill_remaining_columns |
786 | | // Assert all columns have consistent row counts. |
787 | 5.42k | if (_src_block_ptr->columns() > 0) { |
788 | 5.42k | size_t rows = _src_block_ptr->get_by_position(0).column->size(); |
789 | 66.6k | for (size_t i = 1; i < _src_block_ptr->columns(); ++i) { |
790 | 61.2k | DCHECK_EQ(_src_block_ptr->get_by_position(i).column->size(), rows) |
791 | 0 | << "Column " << _src_block_ptr->get_by_position(i).name << " has " |
792 | 0 | << _src_block_ptr->get_by_position(i).column->size() << " rows, expected " |
793 | 0 | << rows; |
794 | 61.2k | } |
795 | 5.42k | } |
796 | | // Apply _pre_conjunct_ctxs to filter src block. |
797 | 5.42k | RETURN_IF_ERROR(_pre_filter_src_block()); |
798 | | |
799 | | // Convert src block to output block (dest block), then apply filters. |
800 | 5.42k | RETURN_IF_ERROR(_convert_to_output_block(block)); |
801 | | // Truncate CHAR/VARCHAR columns when target size is smaller than file schema. |
802 | 5.42k | RETURN_IF_ERROR(_truncate_char_or_varchar_columns(block)); |
803 | 5.42k | return Status::OK(); |
804 | 5.42k | } |
805 | | |
806 | 108k | Status FileScanner::_truncate_char_or_varchar_columns(Block* block) { |
807 | | // Truncate char columns or varchar columns if size is smaller than file columns |
808 | | // or not found in the file column schema. |
809 | 108k | if (!_state->query_options().truncate_char_or_varchar_columns) { |
810 | 108k | return Status::OK(); |
811 | 108k | } |
812 | 31 | int idx = 0; |
813 | 36 | for (auto* slot_desc : _real_tuple_desc->slots()) { |
814 | 36 | const auto& type = slot_desc->type(); |
815 | 36 | if (type->get_primitive_type() != TYPE_VARCHAR && type->get_primitive_type() != TYPE_CHAR) { |
816 | 12 | ++idx; |
817 | 12 | continue; |
818 | 12 | } |
819 | 24 | auto iter = _source_file_col_name_types.find(slot_desc->col_name()); |
820 | 24 | if (iter != _source_file_col_name_types.end()) { |
821 | 16 | const auto file_type_desc = _source_file_col_name_types[slot_desc->col_name()]; |
822 | 16 | int l = -1; |
823 | 16 | if (auto* ftype = check_and_get_data_type<DataTypeString>( |
824 | 16 | remove_nullable(file_type_desc).get())) { |
825 | 16 | l = ftype->len(); |
826 | 16 | } |
827 | 16 | if ((assert_cast<const DataTypeString*>(remove_nullable(type).get())->len() > 0) && |
828 | 16 | (assert_cast<const DataTypeString*>(remove_nullable(type).get())->len() < l || |
829 | 16 | l < 0)) { |
830 | 16 | _truncate_char_or_varchar_column( |
831 | 16 | block, idx, |
832 | 16 | assert_cast<const DataTypeString*>(remove_nullable(type).get())->len()); |
833 | 16 | } |
834 | 16 | } else { |
835 | 8 | _truncate_char_or_varchar_column( |
836 | 8 | block, idx, |
837 | 8 | assert_cast<const DataTypeString*>(remove_nullable(type).get())->len()); |
838 | 8 | } |
839 | 24 | ++idx; |
840 | 24 | } |
841 | 31 | return Status::OK(); |
842 | 108k | } |
843 | | |
844 | | // VARCHAR substring(VARCHAR str, INT pos[, INT len]) |
845 | 24 | void FileScanner::_truncate_char_or_varchar_column(Block* block, int idx, int len) { |
846 | 24 | auto int_type = std::make_shared<DataTypeInt32>(); |
847 | 24 | uint32_t num_columns_without_result = block->columns(); |
848 | 24 | const ColumnNullable* col_nullable = |
849 | 24 | assert_cast<const ColumnNullable*>(block->get_by_position(idx).column.get()); |
850 | 24 | const ColumnPtr& string_column_ptr = col_nullable->get_nested_column_ptr(); |
851 | 24 | ColumnPtr null_map_column_ptr = col_nullable->get_null_map_column_ptr(); |
852 | 24 | block->replace_by_position(idx, std::move(string_column_ptr)); |
853 | 24 | block->insert({int_type->create_column_const(block->rows(), to_field<TYPE_INT>(1)), int_type, |
854 | 24 | "const 1"}); // pos is 1 |
855 | 24 | block->insert({int_type->create_column_const(block->rows(), to_field<TYPE_INT>(len)), int_type, |
856 | 24 | fmt::format("const {}", len)}); // len |
857 | 24 | block->insert({nullptr, std::make_shared<DataTypeString>(), "result"}); // result column |
858 | 24 | ColumnNumbers temp_arguments(3); |
859 | 24 | temp_arguments[0] = idx; // str column |
860 | 24 | temp_arguments[1] = num_columns_without_result; // pos |
861 | 24 | temp_arguments[2] = num_columns_without_result + 1; // len |
862 | 24 | uint32_t result_column_id = num_columns_without_result + 2; |
863 | | |
864 | 24 | SubstringUtil::substring_execute(*block, temp_arguments, result_column_id, block->rows()); |
865 | 24 | auto res = ColumnNullable::create(block->get_by_position(result_column_id).column, |
866 | 24 | null_map_column_ptr); |
867 | 24 | block->replace_by_position(idx, std::move(res)); |
868 | 24 | Block::erase_useless_column(block, num_columns_without_result); |
869 | 24 | } |
870 | | |
871 | 7.53k | Status FileScanner::_create_row_id_column_iterator() { |
872 | 7.53k | auto& id_file_map = _state->get_id_file_map(); |
873 | 7.53k | auto file_id = id_file_map->get_file_mapping_id( |
874 | 7.53k | std::make_shared<FileMapping>(((FileScanLocalState*)_local_state)->parent_id(), |
875 | 7.53k | _current_range, _should_enable_file_meta_cache())); |
876 | 7.53k | _row_id_column_iterator_pair.first = std::make_shared<RowIdColumnIteratorV2>( |
877 | 7.53k | IdManager::ID_VERSION, BackendOptions::get_backend_id(), file_id); |
878 | 7.53k | return Status::OK(); |
879 | 7.53k | } |
880 | | |
881 | 73.7k | void FileScanner::_fill_base_init_context(ReaderInitContext* ctx) { |
882 | 73.7k | ctx->column_descs = &_column_descs; |
883 | 73.7k | ctx->col_name_to_block_idx = &_src_block_name_to_idx; |
884 | 73.7k | ctx->state = _state; |
885 | 73.7k | ctx->tuple_descriptor = _real_tuple_desc; |
886 | 73.7k | ctx->row_descriptor = _default_val_row_desc.get(); |
887 | 73.7k | ctx->params = _params; |
888 | 73.7k | ctx->range = &_current_range; |
889 | 73.7k | ctx->table_info_node = TableSchemaChangeHelper::ConstNode::get_instance(); |
890 | 73.7k | ctx->push_down_agg_type = _get_push_down_agg_type(); |
891 | 73.7k | } |
892 | | |
893 | 155k | Status FileScanner::_get_next_reader() { |
894 | 155k | while (true) { |
895 | 155k | if (_cur_reader) { |
896 | 70.0k | _cur_reader->collect_profile_before_close(); |
897 | 70.0k | RETURN_IF_ERROR(_cur_reader->close()); |
898 | 70.0k | _state->update_num_finished_scan_range(1); |
899 | 70.0k | } |
900 | 155k | _cur_reader.reset(nullptr); |
901 | 155k | _src_block_init = false; |
902 | 155k | bool has_next = _first_scan_range; |
903 | 155k | if (!_first_scan_range) { |
904 | 106k | RETURN_IF_ERROR(_split_source->get_next(&has_next, &_current_range)); |
905 | 106k | } |
906 | 155k | _first_scan_range = false; |
907 | 155k | if (!has_next || _should_stop) { |
908 | 85.1k | _scanner_eof = true; |
909 | 85.1k | return Status::OK(); |
910 | 85.1k | } |
911 | | |
912 | 70.5k | const TFileRangeDesc& range = _current_range; |
913 | 70.5k | _current_range_path = range.path; |
914 | | |
915 | 70.5k | if (!_partition_slot_index_map.empty()) { |
916 | | // we need get partition columns first for runtime filter partition pruning |
917 | 7.18k | RETURN_IF_ERROR(_generate_partition_columns()); |
918 | | |
919 | 7.18k | if (_state->query_options().enable_runtime_filter_partition_prune) { |
920 | | // if enable_runtime_filter_partition_prune is true, we need to check whether this range can be filtered out |
921 | | // by runtime filter partition prune |
922 | 7.16k | if (_push_down_conjuncts.size() < _conjuncts.size()) { |
923 | | // there are new runtime filters, need to re-init runtime filter partition pruning ctxs |
924 | 3.65k | _init_runtime_filter_partition_prune_ctxs(); |
925 | 3.65k | } |
926 | | |
927 | 7.16k | bool can_filter_all = false; |
928 | 7.16k | RETURN_IF_ERROR(_process_runtime_filters_partition_prune(can_filter_all)); |
929 | 7.16k | if (can_filter_all) { |
930 | | // this range can be filtered out by runtime filter partition pruning |
931 | | // so we need to skip this range |
932 | 46 | COUNTER_UPDATE(_runtime_filter_partition_pruned_range_counter, 1); |
933 | 46 | continue; |
934 | 46 | } |
935 | 7.16k | } |
936 | 7.18k | } |
937 | | |
938 | | // create reader for specific format |
939 | 70.4k | Status init_status = Status::OK(); |
940 | 70.4k | TFileFormatType::type format_type = _get_current_format_type(); |
941 | | // for compatibility, this logic is deprecated in 3.1 |
942 | 70.4k | if (format_type == TFileFormatType::FORMAT_JNI && range.__isset.table_format_params) { |
943 | 5.50k | if (range.table_format_params.table_format_type == "paimon" && |
944 | 5.50k | !range.table_format_params.paimon_params.__isset.paimon_split) { |
945 | | // use native reader |
946 | 0 | auto format = range.table_format_params.paimon_params.file_format; |
947 | 0 | if (format == "orc") { |
948 | 0 | format_type = TFileFormatType::FORMAT_ORC; |
949 | 0 | } else if (format == "parquet") { |
950 | 0 | format_type = TFileFormatType::FORMAT_PARQUET; |
951 | 0 | } else { |
952 | 0 | return Status::InternalError("Not supported paimon file format: {}", format); |
953 | 0 | } |
954 | 0 | } |
955 | 5.50k | } |
956 | | |
957 | 70.4k | bool push_down_predicates = _should_push_down_predicates(format_type); |
958 | 70.4k | bool need_to_get_parsed_schema = false; |
959 | 70.4k | switch (format_type) { |
960 | 5.50k | case TFileFormatType::FORMAT_JNI: { |
961 | 5.50k | ReaderInitContext jni_ctx; |
962 | 5.50k | _fill_base_init_context(&jni_ctx); |
963 | | |
964 | 5.50k | if (range.__isset.table_format_params && |
965 | 5.50k | range.table_format_params.table_format_type == "max_compute") { |
966 | 0 | const auto* mc_desc = static_cast<const MaxComputeTableDescriptor*>( |
967 | 0 | _real_tuple_desc->table_desc()); |
968 | 0 | if (!mc_desc->init_status()) { |
969 | 0 | return mc_desc->init_status(); |
970 | 0 | } |
971 | 0 | std::unique_ptr<MaxComputeJniReader> mc_reader = MaxComputeJniReader::create_unique( |
972 | 0 | mc_desc, range.table_format_params.max_compute_params, _file_slot_descs, |
973 | 0 | range, _state, _profile); |
974 | 0 | init_status = static_cast<GenericReader*>(mc_reader.get())->init_reader(&jni_ctx); |
975 | 0 | _cur_reader = std::move(mc_reader); |
976 | 5.50k | } else if (range.__isset.table_format_params && |
977 | 5.50k | range.table_format_params.table_format_type == "paimon") { |
978 | 1.91k | if (_state->query_options().__isset.enable_paimon_cpp_reader && |
979 | 1.91k | _state->query_options().enable_paimon_cpp_reader) { |
980 | 0 | auto cpp_reader = PaimonCppReader::create_unique(_file_slot_descs, _state, |
981 | 0 | _profile, range, _params); |
982 | 0 | cpp_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
983 | 0 | if (!_is_load && !_push_down_conjuncts.empty()) { |
984 | 0 | PaimonPredicateConverter predicate_converter(_file_slot_descs, _state); |
985 | 0 | auto predicate = predicate_converter.build(_push_down_conjuncts); |
986 | 0 | if (predicate) { |
987 | 0 | cpp_reader->set_predicate(std::move(predicate)); |
988 | 0 | } |
989 | 0 | } |
990 | 0 | init_status = |
991 | 0 | static_cast<GenericReader*>(cpp_reader.get())->init_reader(&jni_ctx); |
992 | 0 | _cur_reader = std::move(cpp_reader); |
993 | 1.91k | } else { |
994 | 1.91k | auto paimon_reader = PaimonJniReader::create_unique(_file_slot_descs, _state, |
995 | 1.91k | _profile, range, _params); |
996 | 1.91k | init_status = |
997 | 1.91k | static_cast<GenericReader*>(paimon_reader.get())->init_reader(&jni_ctx); |
998 | 1.91k | _cur_reader = std::move(paimon_reader); |
999 | 1.91k | } |
1000 | 3.58k | } else if (range.__isset.table_format_params && |
1001 | 3.59k | range.table_format_params.table_format_type == "hudi") { |
1002 | 0 | auto hudi_reader = HudiJniReader::create_unique( |
1003 | 0 | *_params, range.table_format_params.hudi_params, _file_slot_descs, _state, |
1004 | 0 | _profile); |
1005 | 0 | init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&jni_ctx); |
1006 | 0 | _cur_reader = std::move(hudi_reader); |
1007 | 3.58k | } else if (range.__isset.table_format_params && |
1008 | 3.59k | range.table_format_params.table_format_type == "trino_connector") { |
1009 | 790 | auto trino_reader = TrinoConnectorJniReader::create_unique(_file_slot_descs, _state, |
1010 | 790 | _profile, range); |
1011 | 790 | init_status = |
1012 | 790 | static_cast<GenericReader*>(trino_reader.get())->init_reader(&jni_ctx); |
1013 | 790 | _cur_reader = std::move(trino_reader); |
1014 | 2.79k | } else if (range.__isset.table_format_params && |
1015 | 2.80k | range.table_format_params.table_format_type == "jdbc") { |
1016 | | // Extract jdbc params from table_format_params |
1017 | 1.73k | std::map<std::string, std::string> jdbc_params( |
1018 | 1.73k | range.table_format_params.jdbc_params.begin(), |
1019 | 1.73k | range.table_format_params.jdbc_params.end()); |
1020 | 1.73k | auto jdbc_reader = JdbcJniReader::create_unique(_file_slot_descs, _state, _profile, |
1021 | 1.73k | jdbc_params); |
1022 | 1.73k | init_status = static_cast<GenericReader*>(jdbc_reader.get())->init_reader(&jni_ctx); |
1023 | 1.73k | _cur_reader = std::move(jdbc_reader); |
1024 | 1.73k | } else if (range.__isset.table_format_params && |
1025 | 1.06k | range.table_format_params.table_format_type == "iceberg") { |
1026 | 1.06k | auto iceberg_sys_reader = IcebergSysTableJniReader::create_unique( |
1027 | 1.06k | _file_slot_descs, _state, _profile, range, _params); |
1028 | 1.06k | init_status = static_cast<GenericReader*>(iceberg_sys_reader.get()) |
1029 | 1.06k | ->init_reader(&jni_ctx); |
1030 | 1.06k | _cur_reader = std::move(iceberg_sys_reader); |
1031 | 1.06k | } |
1032 | | // Set col_name_to_block_idx for JNI readers to avoid repeated map creation |
1033 | 5.50k | if (_cur_reader) { |
1034 | 5.50k | if (auto* jni_reader = dynamic_cast<JniReader*>(_cur_reader.get())) { |
1035 | 5.49k | jni_reader->set_col_name_to_block_idx(&_src_block_name_to_idx); |
1036 | 5.49k | } |
1037 | 5.50k | } |
1038 | 5.50k | break; |
1039 | 5.50k | } |
1040 | 32.5k | case TFileFormatType::FORMAT_PARQUET: { |
1041 | 32.5k | auto file_meta_cache_ptr = _should_enable_file_meta_cache() |
1042 | 32.5k | ? ExecEnv::GetInstance()->file_meta_cache() |
1043 | 32.5k | : nullptr; |
1044 | 32.5k | if (push_down_predicates) { |
1045 | 32.5k | RETURN_IF_ERROR(_process_late_arrival_conjuncts()); |
1046 | 32.5k | } |
1047 | 32.5k | RETURN_IF_ERROR(_init_parquet_reader(file_meta_cache_ptr)); |
1048 | | |
1049 | 32.5k | need_to_get_parsed_schema = true; |
1050 | 32.5k | break; |
1051 | 32.5k | } |
1052 | 24.1k | case TFileFormatType::FORMAT_ORC: { |
1053 | 24.1k | auto file_meta_cache_ptr = _should_enable_file_meta_cache() |
1054 | 24.1k | ? ExecEnv::GetInstance()->file_meta_cache() |
1055 | 24.1k | : nullptr; |
1056 | 24.1k | if (push_down_predicates) { |
1057 | 24.0k | RETURN_IF_ERROR(_process_late_arrival_conjuncts()); |
1058 | 24.0k | } |
1059 | 24.1k | RETURN_IF_ERROR(_init_orc_reader(file_meta_cache_ptr)); |
1060 | | |
1061 | 24.1k | need_to_get_parsed_schema = true; |
1062 | 24.1k | break; |
1063 | 24.1k | } |
1064 | 2.70k | case TFileFormatType::FORMAT_CSV_PLAIN: |
1065 | 2.70k | case TFileFormatType::FORMAT_CSV_GZ: |
1066 | 2.70k | case TFileFormatType::FORMAT_CSV_BZ2: |
1067 | 2.70k | case TFileFormatType::FORMAT_CSV_LZ4FRAME: |
1068 | 2.70k | case TFileFormatType::FORMAT_CSV_LZ4BLOCK: |
1069 | 2.70k | case TFileFormatType::FORMAT_CSV_LZOP: |
1070 | 2.70k | case TFileFormatType::FORMAT_CSV_DEFLATE: |
1071 | 2.70k | case TFileFormatType::FORMAT_CSV_SNAPPYBLOCK: |
1072 | 2.78k | case TFileFormatType::FORMAT_PROTO: { |
1073 | 2.78k | auto reader = CsvReader::create_unique(_state, _profile, &_counter, *_params, range, |
1074 | 2.78k | _file_slot_descs, _io_ctx.get()); |
1075 | 2.78k | CsvInitContext csv_ctx; |
1076 | 2.78k | _fill_base_init_context(&csv_ctx); |
1077 | 2.78k | csv_ctx.is_load = _is_load; |
1078 | 2.78k | init_status = static_cast<GenericReader*>(reader.get())->init_reader(&csv_ctx); |
1079 | 2.78k | _cur_reader = std::move(reader); |
1080 | 2.78k | break; |
1081 | 2.70k | } |
1082 | 4.63k | case TFileFormatType::FORMAT_TEXT: { |
1083 | 4.63k | auto reader = TextReader::create_unique(_state, _profile, &_counter, *_params, range, |
1084 | 4.63k | _file_slot_descs, _io_ctx.get()); |
1085 | 4.63k | CsvInitContext text_ctx; |
1086 | 4.63k | _fill_base_init_context(&text_ctx); |
1087 | 4.63k | text_ctx.is_load = _is_load; |
1088 | 4.63k | init_status = static_cast<GenericReader*>(reader.get())->init_reader(&text_ctx); |
1089 | 4.63k | _cur_reader = std::move(reader); |
1090 | 4.63k | break; |
1091 | 2.70k | } |
1092 | 751 | case TFileFormatType::FORMAT_JSON: { |
1093 | 751 | _cur_reader = |
1094 | 751 | NewJsonReader::create_unique(_state, _profile, &_counter, *_params, range, |
1095 | 751 | _file_slot_descs, &_scanner_eof, _io_ctx.get()); |
1096 | 751 | JsonInitContext json_ctx; |
1097 | 751 | _fill_base_init_context(&json_ctx); |
1098 | 751 | json_ctx.col_default_value_ctx = &_col_default_value_ctx; |
1099 | 751 | json_ctx.is_load = _is_load; |
1100 | 751 | init_status = _cur_reader->init_reader(&json_ctx); |
1101 | 751 | break; |
1102 | 2.70k | } |
1103 | | |
1104 | 0 | case TFileFormatType::FORMAT_WAL: { |
1105 | 0 | _cur_reader = WalReader::create_unique(_state); |
1106 | 0 | WalInitContext wal_ctx; |
1107 | 0 | _fill_base_init_context(&wal_ctx); |
1108 | 0 | wal_ctx.output_tuple_descriptor = _output_tuple_desc; |
1109 | 0 | init_status = _cur_reader->init_reader(&wal_ctx); |
1110 | 0 | break; |
1111 | 2.70k | } |
1112 | 3 | case TFileFormatType::FORMAT_NATIVE: { |
1113 | 3 | auto reader = |
1114 | 3 | NativeReader::create_unique(_profile, *_params, range, _io_ctx.get(), _state); |
1115 | 3 | ReaderInitContext native_ctx; |
1116 | 3 | _fill_base_init_context(&native_ctx); |
1117 | 3 | init_status = static_cast<GenericReader*>(reader.get())->init_reader(&native_ctx); |
1118 | 3 | _cur_reader = std::move(reader); |
1119 | 3 | need_to_get_parsed_schema = false; |
1120 | 3 | break; |
1121 | 2.70k | } |
1122 | 108 | case TFileFormatType::FORMAT_ARROW: { |
1123 | 108 | ReaderInitContext arrow_ctx; |
1124 | 108 | _fill_base_init_context(&arrow_ctx); |
1125 | | |
1126 | 108 | if (range.__isset.table_format_params && |
1127 | 108 | range.table_format_params.table_format_type == "remote_doris") { |
1128 | 98 | auto doris_reader = |
1129 | 98 | RemoteDorisReader::create_unique(_file_slot_descs, _state, _profile, range); |
1130 | 98 | init_status = |
1131 | 98 | static_cast<GenericReader*>(doris_reader.get())->init_reader(&arrow_ctx); |
1132 | 98 | if (doris_reader) { |
1133 | 98 | doris_reader->set_col_name_to_block_idx(&_src_block_name_to_idx); |
1134 | 98 | } |
1135 | 98 | _cur_reader = std::move(doris_reader); |
1136 | 98 | } else { |
1137 | 10 | auto arrow_reader = |
1138 | 10 | ArrowStreamReader::create_unique(_state, _profile, &_counter, *_params, |
1139 | 10 | range, _file_slot_descs, _io_ctx.get()); |
1140 | 10 | init_status = |
1141 | 10 | static_cast<GenericReader*>(arrow_reader.get())->init_reader(&arrow_ctx); |
1142 | 10 | _cur_reader = std::move(arrow_reader); |
1143 | 10 | } |
1144 | 108 | break; |
1145 | 2.70k | } |
1146 | 0 | default: |
1147 | 0 | return Status::NotSupported("Not supported create reader for file format: {}.", |
1148 | 0 | to_string(_params->format_type)); |
1149 | 70.4k | } |
1150 | | |
1151 | 70.5k | if (_cur_reader == nullptr) { |
1152 | 1 | return Status::NotSupported( |
1153 | 1 | "Not supported create reader for table format: {} / file format: {}.", |
1154 | 1 | range.__isset.table_format_params ? range.table_format_params.table_format_type |
1155 | 1 | : "NotSet", |
1156 | 1 | to_string(_params->format_type)); |
1157 | 1 | } |
1158 | 70.5k | COUNTER_UPDATE(_file_counter, 1); |
1159 | | // The FileScanner for external table may try to open not exist files, |
1160 | | // Because FE file cache for external table may out of date. |
1161 | | // So, NOT_FOUND for FileScanner is not a fail case. |
1162 | | // Will remove this after file reader refactor. |
1163 | 70.5k | if (init_status.is<END_OF_FILE>()) { |
1164 | 0 | COUNTER_UPDATE(_empty_file_counter, 1); |
1165 | 0 | continue; |
1166 | 70.5k | } else if (init_status.is<ErrorCode::NOT_FOUND>()) { |
1167 | 0 | if (config::ignore_not_found_file_in_external_table) { |
1168 | 0 | COUNTER_UPDATE(_not_found_file_counter, 1); |
1169 | 0 | continue; |
1170 | 0 | } |
1171 | 0 | return Status::InternalError("failed to find reader, err: {}", init_status.to_string()); |
1172 | 70.5k | } else if (!init_status.ok()) { |
1173 | 1 | return Status::InternalError("failed to init reader, err: {}", init_status.to_string()); |
1174 | 1 | } |
1175 | | |
1176 | | // For table-level COUNT pushdown, offsets are undefined so we must skip |
1177 | | // _set_fill_or_truncate_columns (it uses [start_offset, end_offset] to |
1178 | | // filter row groups, which would produce incorrect empty results). |
1179 | 70.5k | bool is_table_level_count = _get_push_down_agg_type() == TPushAggOp::type::COUNT && |
1180 | 70.5k | range.__isset.table_format_params && |
1181 | 70.5k | range.table_format_params.table_level_row_count >= 0; |
1182 | 70.5k | if (!is_table_level_count) { |
1183 | 70.3k | Status status = _set_fill_or_truncate_columns(need_to_get_parsed_schema); |
1184 | 70.3k | if (status.is<END_OF_FILE>()) { // all parquet row groups are filtered |
1185 | 0 | continue; |
1186 | 70.3k | } else if (!status.ok()) { |
1187 | 0 | return Status::InternalError("failed to set_fill_or_truncate_columns, err: {}", |
1188 | 0 | status.to_string()); |
1189 | 0 | } |
1190 | 70.3k | } |
1191 | | |
1192 | | // Unified COUNT(*) pushdown: replace the real reader with CountReader |
1193 | | // decorator if the reader accepts COUNT and can provide a total row count. |
1194 | 70.5k | if (_cur_reader->get_push_down_agg_type() == TPushAggOp::type::COUNT) { |
1195 | 1.79k | int64_t total_rows = -1; |
1196 | 1.79k | if (is_table_level_count) { |
1197 | | // FE-provided count (may account for table-format deletions) |
1198 | 194 | total_rows = range.table_format_params.table_level_row_count; |
1199 | 1.60k | } else if (_cur_reader->supports_count_pushdown()) { |
1200 | | // File metadata count (ORC footer / Parquet row groups) |
1201 | 576 | total_rows = _cur_reader->get_total_rows(); |
1202 | 576 | } |
1203 | 1.79k | if (total_rows >= 0) { |
1204 | 770 | auto batch_size = _state->query_options().batch_size; |
1205 | 770 | _cur_reader = std::make_unique<CountReader>(total_rows, batch_size, |
1206 | 770 | std::move(_cur_reader)); |
1207 | 770 | } |
1208 | 1.79k | } |
1209 | 70.5k | _cur_reader_eof = false; |
1210 | 70.5k | break; |
1211 | 70.5k | } |
1212 | 70.6k | return Status::OK(); |
1213 | 155k | } |
1214 | | |
1215 | | Status FileScanner::_init_parquet_reader(FileMetaCache* file_meta_cache_ptr, |
1216 | 33.9k | std::unique_ptr<ParquetReader> parquet_reader) { |
1217 | 33.9k | const TFileRangeDesc& range = _current_range; |
1218 | 33.9k | Status init_status = Status::OK(); |
1219 | | |
1220 | 33.9k | phmap::flat_hash_map<int, std::vector<std::shared_ptr<ColumnPredicate>>> slot_id_to_predicates = |
1221 | 33.9k | _local_state |
1222 | 33.9k | ? _local_state->cast<FileScanLocalState>()._slot_id_to_predicates |
1223 | 33.9k | : phmap::flat_hash_map<int, std::vector<std::shared_ptr<ColumnPredicate>>> {}; |
1224 | | |
1225 | | // Build unified ParquetInitContext (shared by all Parquet reader variants) |
1226 | 33.9k | ParquetInitContext pctx; |
1227 | 33.9k | _fill_base_init_context(&pctx); |
1228 | 33.9k | pctx.conjuncts = &_push_down_conjuncts; |
1229 | 33.9k | pctx.slot_id_to_predicates = &slot_id_to_predicates; |
1230 | 33.9k | pctx.colname_to_slot_id = _col_name_to_slot_id; |
1231 | 33.9k | pctx.not_single_slot_filter_conjuncts = &_not_single_slot_filter_conjuncts; |
1232 | 33.9k | pctx.slot_id_to_filter_conjuncts = &_slot_id_to_filter_conjuncts; |
1233 | | |
1234 | 33.9k | if (range.__isset.table_format_params && |
1235 | 33.9k | range.table_format_params.table_format_type == "iceberg") { |
1236 | | // IcebergParquetReader IS-A ParquetReader (CRTP mixin), no wrapping needed |
1237 | 17.8k | std::unique_ptr<IcebergParquetReader> iceberg_reader = IcebergParquetReader::create_unique( |
1238 | 17.8k | _kv_cache, _profile, *_params, range, _state->query_options().batch_size, |
1239 | 17.8k | &_state->timezone_obj(), _io_ctx.get(), _state, file_meta_cache_ptr); |
1240 | | |
1241 | | // Transfer properties |
1242 | 17.8k | if (_row_id_column_iterator_pair.second != -1) { |
1243 | 246 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1244 | 246 | iceberg_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1245 | 246 | } |
1246 | 17.8k | if (_row_lineage_columns.row_id_column_idx != -1 || |
1247 | 17.8k | _row_lineage_columns.last_updated_sequence_number_column_idx != -1) { |
1248 | 0 | auto row_lineage_columns = std::make_shared<RowLineageColumns>(); |
1249 | 0 | row_lineage_columns->row_id_column_idx = _row_lineage_columns.row_id_column_idx; |
1250 | 0 | row_lineage_columns->last_updated_sequence_number_column_idx = |
1251 | 0 | _row_lineage_columns.last_updated_sequence_number_column_idx; |
1252 | 0 | const auto& iceberg_params = range.table_format_params.iceberg_params; |
1253 | 0 | row_lineage_columns->first_row_id = |
1254 | 0 | iceberg_params.__isset.first_row_id ? iceberg_params.first_row_id : -1; |
1255 | 0 | row_lineage_columns->last_updated_sequence_number = |
1256 | 0 | iceberg_params.__isset.last_updated_sequence_number |
1257 | 0 | ? iceberg_params.last_updated_sequence_number |
1258 | 0 | : -1; |
1259 | 0 | iceberg_reader->set_row_lineage_columns(std::move(row_lineage_columns)); |
1260 | 0 | } |
1261 | 17.8k | iceberg_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1262 | | |
1263 | 17.8k | init_status = static_cast<GenericReader*>(iceberg_reader.get())->init_reader(&pctx); |
1264 | 17.8k | _cur_reader = std::move(iceberg_reader); |
1265 | 17.8k | } else if (range.__isset.table_format_params && |
1266 | 16.1k | range.table_format_params.table_format_type == "paimon") { |
1267 | | // PaimonParquetReader IS-A ParquetReader, no wrapping needed |
1268 | 2.68k | auto paimon_reader = PaimonParquetReader::create_unique( |
1269 | 2.68k | _profile, *_params, range, _state->query_options().batch_size, |
1270 | 2.68k | &_state->timezone_obj(), _kv_cache, _io_ctx.get(), _state, file_meta_cache_ptr); |
1271 | 2.68k | if (_row_id_column_iterator_pair.second != -1) { |
1272 | 0 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1273 | 0 | paimon_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1274 | 0 | } |
1275 | 2.68k | paimon_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1276 | 2.68k | init_status = static_cast<GenericReader*>(paimon_reader.get())->init_reader(&pctx); |
1277 | 2.68k | _cur_reader = std::move(paimon_reader); |
1278 | 13.4k | } else if (range.__isset.table_format_params && |
1279 | 13.4k | range.table_format_params.table_format_type == "hudi") { |
1280 | | // HudiParquetReader IS-A ParquetReader, no wrapping needed |
1281 | 0 | auto hudi_reader = HudiParquetReader::create_unique( |
1282 | 0 | _profile, *_params, range, _state->query_options().batch_size, |
1283 | 0 | &_state->timezone_obj(), _io_ctx.get(), _state, file_meta_cache_ptr); |
1284 | 0 | if (_row_id_column_iterator_pair.second != -1) { |
1285 | 0 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1286 | 0 | hudi_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1287 | 0 | } |
1288 | 0 | hudi_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1289 | 0 | init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&pctx); |
1290 | 0 | _cur_reader = std::move(hudi_reader); |
1291 | 13.4k | } else if (range.table_format_params.table_format_type == "hive") { |
1292 | 10.3k | auto hive_reader = HiveParquetReader::create_unique( |
1293 | 10.3k | _profile, *_params, range, _state->query_options().batch_size, |
1294 | 10.3k | &_state->timezone_obj(), _io_ctx.get(), _state, &_is_file_slot, file_meta_cache_ptr, |
1295 | 10.3k | _state->query_options().enable_parquet_lazy_mat); |
1296 | 10.3k | if (_row_id_column_iterator_pair.second != -1) { |
1297 | 1.84k | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1298 | 1.84k | hive_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1299 | 1.84k | } |
1300 | 10.3k | hive_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1301 | 10.3k | init_status = static_cast<GenericReader*>(hive_reader.get())->init_reader(&pctx); |
1302 | 10.3k | _cur_reader = std::move(hive_reader); |
1303 | 10.3k | } else if (range.table_format_params.table_format_type == "tvf") { |
1304 | 3.04k | if (!parquet_reader) { |
1305 | 2.98k | parquet_reader = ParquetReader::create_unique( |
1306 | 2.98k | _profile, *_params, range, _state->query_options().batch_size, |
1307 | 2.98k | &_state->timezone_obj(), _io_ctx.get(), _state, file_meta_cache_ptr, |
1308 | 2.98k | _state->query_options().enable_parquet_lazy_mat); |
1309 | 2.98k | } |
1310 | 3.04k | parquet_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1311 | 3.04k | if (_row_id_column_iterator_pair.second != -1) { |
1312 | 52 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1313 | 52 | parquet_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1314 | 52 | } |
1315 | 3.04k | init_status = static_cast<GenericReader*>(parquet_reader.get())->init_reader(&pctx); |
1316 | 3.04k | _cur_reader = std::move(parquet_reader); |
1317 | 3.04k | } else if (_is_load) { |
1318 | 22 | if (!parquet_reader) { |
1319 | 22 | parquet_reader = ParquetReader::create_unique( |
1320 | 22 | _profile, *_params, range, _state->query_options().batch_size, |
1321 | 22 | &_state->timezone_obj(), _io_ctx.get(), _state, file_meta_cache_ptr, |
1322 | 22 | _state->query_options().enable_parquet_lazy_mat); |
1323 | 22 | } |
1324 | 22 | parquet_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1325 | 22 | init_status = static_cast<GenericReader*>(parquet_reader.get())->init_reader(&pctx); |
1326 | 22 | _cur_reader = std::move(parquet_reader); |
1327 | 22 | } |
1328 | | |
1329 | 33.9k | return init_status; |
1330 | 33.9k | } |
1331 | | |
1332 | | Status FileScanner::_init_orc_reader(FileMetaCache* file_meta_cache_ptr, |
1333 | 26.0k | std::unique_ptr<OrcReader> orc_reader) { |
1334 | 26.0k | const TFileRangeDesc& range = _current_range; |
1335 | 26.0k | Status init_status = Status::OK(); |
1336 | | |
1337 | | // Build unified OrcInitContext (shared by all ORC reader variants) |
1338 | 26.0k | OrcInitContext octx; |
1339 | 26.0k | _fill_base_init_context(&octx); |
1340 | 26.0k | octx.conjuncts = &_push_down_conjuncts; |
1341 | 26.0k | octx.not_single_slot_filter_conjuncts = &_not_single_slot_filter_conjuncts; |
1342 | 26.0k | octx.slot_id_to_filter_conjuncts = &_slot_id_to_filter_conjuncts; |
1343 | | |
1344 | 26.0k | if (range.__isset.table_format_params && |
1345 | 26.0k | range.table_format_params.table_format_type == "transactional_hive") { |
1346 | | // TransactionalHiveReader IS-A OrcReader, no wrapping needed |
1347 | 292 | auto tran_orc_reader = TransactionalHiveReader::create_unique( |
1348 | 292 | _profile, _state, *_params, range, _state->query_options().batch_size, |
1349 | 292 | _state->timezone(), _io_ctx.get(), file_meta_cache_ptr); |
1350 | 292 | if (_row_id_column_iterator_pair.second != -1) { |
1351 | 54 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1352 | 54 | tran_orc_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1353 | 54 | } |
1354 | 292 | tran_orc_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1355 | 292 | init_status = static_cast<GenericReader*>(tran_orc_reader.get())->init_reader(&octx); |
1356 | | |
1357 | 292 | _cur_reader = std::move(tran_orc_reader); |
1358 | 25.7k | } else if (range.__isset.table_format_params && |
1359 | 25.7k | range.table_format_params.table_format_type == "iceberg") { |
1360 | | // IcebergOrcReader IS-A OrcReader (CRTP mixin), no wrapping needed |
1361 | 6.14k | std::unique_ptr<IcebergOrcReader> iceberg_reader = IcebergOrcReader::create_unique( |
1362 | 6.14k | _kv_cache, _profile, _state, *_params, range, _state->query_options().batch_size, |
1363 | 6.14k | _state->timezone(), _io_ctx.get(), file_meta_cache_ptr); |
1364 | | |
1365 | | // Transfer properties |
1366 | 6.14k | if (_row_id_column_iterator_pair.second != -1) { |
1367 | 232 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1368 | 232 | iceberg_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1369 | 232 | } |
1370 | 6.14k | if (_row_lineage_columns.row_id_column_idx != -1 || |
1371 | 6.14k | _row_lineage_columns.last_updated_sequence_number_column_idx != -1) { |
1372 | 0 | auto row_lineage_columns = std::make_shared<RowLineageColumns>(); |
1373 | 0 | row_lineage_columns->row_id_column_idx = _row_lineage_columns.row_id_column_idx; |
1374 | 0 | row_lineage_columns->last_updated_sequence_number_column_idx = |
1375 | 0 | _row_lineage_columns.last_updated_sequence_number_column_idx; |
1376 | 0 | const auto& iceberg_params = range.table_format_params.iceberg_params; |
1377 | 0 | row_lineage_columns->first_row_id = |
1378 | 0 | iceberg_params.__isset.first_row_id ? iceberg_params.first_row_id : -1; |
1379 | 0 | row_lineage_columns->last_updated_sequence_number = |
1380 | 0 | iceberg_params.__isset.last_updated_sequence_number |
1381 | 0 | ? iceberg_params.last_updated_sequence_number |
1382 | 0 | : -1; |
1383 | 0 | iceberg_reader->set_row_lineage_columns(std::move(row_lineage_columns)); |
1384 | 0 | } |
1385 | 6.14k | iceberg_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1386 | 6.14k | init_status = static_cast<GenericReader*>(iceberg_reader.get())->init_reader(&octx); |
1387 | | |
1388 | 6.14k | _cur_reader = std::move(iceberg_reader); |
1389 | 19.6k | } else if (range.__isset.table_format_params && |
1390 | 19.6k | range.table_format_params.table_format_type == "paimon") { |
1391 | | // PaimonOrcReader IS-A OrcReader, no wrapping needed |
1392 | 2.07k | auto paimon_reader = PaimonOrcReader::create_unique( |
1393 | 2.07k | _profile, _state, *_params, range, _state->query_options().batch_size, |
1394 | 2.07k | _state->timezone(), _kv_cache, _io_ctx.get(), file_meta_cache_ptr); |
1395 | 2.07k | if (_row_id_column_iterator_pair.second != -1) { |
1396 | 0 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1397 | 0 | paimon_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1398 | 0 | } |
1399 | 2.07k | paimon_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1400 | 2.07k | init_status = static_cast<GenericReader*>(paimon_reader.get())->init_reader(&octx); |
1401 | | |
1402 | 2.07k | _cur_reader = std::move(paimon_reader); |
1403 | 17.5k | } else if (range.__isset.table_format_params && |
1404 | 17.5k | range.table_format_params.table_format_type == "hudi") { |
1405 | | // HudiOrcReader IS-A OrcReader, no wrapping needed |
1406 | 0 | auto hudi_reader = HudiOrcReader::create_unique( |
1407 | 0 | _profile, _state, *_params, range, _state->query_options().batch_size, |
1408 | 0 | _state->timezone(), _io_ctx.get(), file_meta_cache_ptr); |
1409 | 0 | if (_row_id_column_iterator_pair.second != -1) { |
1410 | 0 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1411 | 0 | hudi_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1412 | 0 | } |
1413 | 0 | hudi_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1414 | 0 | init_status = static_cast<GenericReader*>(hudi_reader.get())->init_reader(&octx); |
1415 | |
|
1416 | 0 | _cur_reader = std::move(hudi_reader); |
1417 | 17.5k | } else if (range.__isset.table_format_params && |
1418 | 17.5k | range.table_format_params.table_format_type == "hive") { |
1419 | 15.2k | auto hive_reader = HiveOrcReader::create_unique( |
1420 | 15.2k | _profile, _state, *_params, range, _state->query_options().batch_size, |
1421 | 15.2k | _state->timezone(), _io_ctx.get(), &_is_file_slot, file_meta_cache_ptr, |
1422 | 15.2k | _state->query_options().enable_orc_lazy_mat); |
1423 | 15.2k | if (_row_id_column_iterator_pair.second != -1) { |
1424 | 5.02k | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1425 | 5.02k | hive_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1426 | 5.02k | } |
1427 | 15.2k | hive_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1428 | 15.2k | init_status = static_cast<GenericReader*>(hive_reader.get())->init_reader(&octx); |
1429 | | |
1430 | 15.2k | _cur_reader = std::move(hive_reader); |
1431 | 15.2k | } else if (range.__isset.table_format_params && |
1432 | 2.24k | range.table_format_params.table_format_type == "tvf") { |
1433 | 2.20k | if (!orc_reader) { |
1434 | 2.07k | orc_reader = OrcReader::create_unique( |
1435 | 2.07k | _profile, _state, *_params, range, _state->query_options().batch_size, |
1436 | 2.07k | _state->timezone(), _io_ctx.get(), file_meta_cache_ptr, |
1437 | 2.07k | _state->query_options().enable_orc_lazy_mat); |
1438 | 2.07k | } |
1439 | 2.20k | orc_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1440 | 2.20k | if (_row_id_column_iterator_pair.second != -1) { |
1441 | 97 | RETURN_IF_ERROR(_create_row_id_column_iterator()); |
1442 | 97 | orc_reader->set_row_id_column_iterator(_row_id_column_iterator_pair); |
1443 | 97 | } |
1444 | 2.20k | init_status = static_cast<GenericReader*>(orc_reader.get())->init_reader(&octx); |
1445 | 2.20k | _cur_reader = std::move(orc_reader); |
1446 | 2.20k | } else if (_is_load) { |
1447 | 13 | if (!orc_reader) { |
1448 | 13 | orc_reader = OrcReader::create_unique( |
1449 | 13 | _profile, _state, *_params, range, _state->query_options().batch_size, |
1450 | 13 | _state->timezone(), _io_ctx.get(), file_meta_cache_ptr, |
1451 | 13 | _state->query_options().enable_orc_lazy_mat); |
1452 | 13 | } |
1453 | 13 | orc_reader->set_push_down_agg_type(_get_push_down_agg_type()); |
1454 | 13 | init_status = static_cast<GenericReader*>(orc_reader.get())->init_reader(&octx); |
1455 | 13 | _cur_reader = std::move(orc_reader); |
1456 | 13 | } |
1457 | | |
1458 | 26.0k | return init_status; |
1459 | 26.0k | } |
1460 | | |
1461 | 73.5k | Status FileScanner::_set_fill_or_truncate_columns(bool need_to_get_parsed_schema) { |
1462 | 73.5k | _slot_lower_name_to_col_type.clear(); |
1463 | | |
1464 | 73.5k | std::unordered_map<std::string, DataTypePtr> name_to_col_type; |
1465 | 73.5k | RETURN_IF_ERROR(_cur_reader->get_columns(&name_to_col_type)); |
1466 | | |
1467 | 2.30M | for (const auto& [col_name, col_type] : name_to_col_type) { |
1468 | 2.30M | auto col_name_lower = to_lower(col_name); |
1469 | 2.30M | if (_partition_col_descs.contains(col_name_lower)) { |
1470 | | /* |
1471 | | * `_slot_lower_name_to_col_type` is used by `_init_src_block` and `_cast_to_input_block` during LOAD to |
1472 | | * generate columns of the corresponding type, which records the columns existing in the file. |
1473 | | * |
1474 | | * When a column in `COLUMNS FROM PATH` exists in a file column, the column type in the block will |
1475 | | * not match the slot type in `_output_tuple_desc`, causing an error when |
1476 | | * Serde `deserialize_one_cell_from_json` fills the partition values. |
1477 | | * |
1478 | | * So for partition column not need fill _slot_lower_name_to_col_type. |
1479 | | */ |
1480 | 68 | continue; |
1481 | 68 | } |
1482 | 2.30M | _slot_lower_name_to_col_type.emplace(col_name_lower, col_type); |
1483 | 2.30M | } |
1484 | | |
1485 | 73.5k | RETURN_IF_ERROR(_generate_truncate_columns(need_to_get_parsed_schema)); |
1486 | 73.5k | return Status::OK(); |
1487 | 73.5k | } |
1488 | | |
1489 | 73.5k | Status FileScanner::_generate_truncate_columns(bool need_to_get_parsed_schema) { |
1490 | 73.5k | _source_file_col_name_types.clear(); |
1491 | | // The col names and types of source file, such as parquet, orc files. |
1492 | 73.5k | if (_state->query_options().truncate_char_or_varchar_columns && need_to_get_parsed_schema) { |
1493 | 8 | std::vector<std::string> source_file_col_names; |
1494 | 8 | std::vector<DataTypePtr> source_file_col_types; |
1495 | 8 | Status status = |
1496 | 8 | _cur_reader->get_parsed_schema(&source_file_col_names, &source_file_col_types); |
1497 | 8 | if (!status.ok() && status.code() != TStatusCode::NOT_IMPLEMENTED_ERROR) { |
1498 | 0 | return status; |
1499 | 0 | } |
1500 | 8 | DCHECK_EQ(source_file_col_names.size(), source_file_col_types.size()); |
1501 | 32 | for (int i = 0; i < source_file_col_names.size(); ++i) { |
1502 | 24 | _source_file_col_name_types[to_lower(source_file_col_names[i])] = |
1503 | 24 | source_file_col_types[i]; |
1504 | 24 | } |
1505 | 8 | } |
1506 | 73.5k | return Status::OK(); |
1507 | 73.5k | } |
1508 | | |
1509 | 3.22k | Status FileScanner::prepare_for_read_lines(const TFileRangeDesc& range) { |
1510 | 3.22k | _current_range = range; |
1511 | | |
1512 | 3.22k | _file_cache_statistics.reset(new io::FileCacheStatistics()); |
1513 | 3.22k | _file_reader_stats.reset(new io::FileReaderStats()); |
1514 | | |
1515 | 3.22k | _file_read_bytes_counter = |
1516 | 3.22k | ADD_COUNTER_WITH_LEVEL(_profile, FileReadBytesProfile, TUnit::BYTES, 1); |
1517 | 3.22k | _file_read_time_counter = ADD_TIMER_WITH_LEVEL(_profile, FileReadTimeProfile, 1); |
1518 | | |
1519 | 3.22k | RETURN_IF_ERROR(_init_io_ctx()); |
1520 | 3.22k | _io_ctx->file_cache_stats = _file_cache_statistics.get(); |
1521 | 3.22k | _io_ctx->file_reader_stats = _file_reader_stats.get(); |
1522 | 3.22k | _default_val_row_desc.reset(new RowDescriptor((TupleDescriptor*)_real_tuple_desc)); |
1523 | 3.22k | RETURN_IF_ERROR(_init_expr_ctxes()); |
1524 | | |
1525 | | // Since only one column is read from the file, there is no need to filter, so set these variables to empty. |
1526 | 3.22k | _push_down_conjuncts.clear(); |
1527 | 3.22k | _not_single_slot_filter_conjuncts.clear(); |
1528 | 3.22k | _slot_id_to_filter_conjuncts.clear(); |
1529 | 3.22k | _kv_cache = nullptr; |
1530 | 3.22k | return Status::OK(); |
1531 | 3.22k | } |
1532 | | |
1533 | | Status FileScanner::read_lines_from_range(const TFileRangeDesc& range, |
1534 | | const std::list<int64_t>& row_ids, Block* result_block, |
1535 | | const ExternalFileMappingInfo& external_info, |
1536 | 3.21k | int64_t* init_reader_ms, int64_t* get_block_ms) { |
1537 | 3.21k | _current_range = range; |
1538 | 3.21k | RETURN_IF_ERROR(_generate_partition_columns()); |
1539 | | |
1540 | 3.21k | TFileFormatType::type format_type = _get_current_format_type(); |
1541 | 3.21k | Status init_status = Status::OK(); |
1542 | | |
1543 | 3.21k | auto file_meta_cache_ptr = external_info.enable_file_meta_cache |
1544 | 3.21k | ? ExecEnv::GetInstance()->file_meta_cache() |
1545 | 3.21k | : nullptr; |
1546 | | |
1547 | 3.21k | RETURN_IF_ERROR(scope_timer_run( |
1548 | 3.21k | [&]() -> Status { |
1549 | 3.21k | switch (format_type) { |
1550 | 3.21k | case TFileFormatType::FORMAT_PARQUET: { |
1551 | 3.21k | std::unique_ptr<ParquetReader> parquet_reader = ParquetReader::create_unique( |
1552 | 3.21k | _profile, *_params, range, 1, &_state->timezone_obj(), _io_ctx.get(), |
1553 | 3.21k | _state, file_meta_cache_ptr, false); |
1554 | 3.21k | RETURN_IF_ERROR( |
1555 | 3.21k | _init_parquet_reader(file_meta_cache_ptr, std::move(parquet_reader))); |
1556 | | // _init_parquet_reader may create a new table-format specific reader |
1557 | | // (e.g., HiveParquetReader) that replaces the original parquet_reader. |
1558 | | // We need to re-apply read_by_rows to the actual _cur_reader. |
1559 | 3.21k | RETURN_IF_ERROR(_cur_reader->read_by_rows(row_ids)); |
1560 | 3.21k | break; |
1561 | 3.21k | } |
1562 | 3.21k | case TFileFormatType::FORMAT_ORC: { |
1563 | 3.21k | std::unique_ptr<OrcReader> orc_reader = OrcReader::create_unique( |
1564 | 3.21k | _profile, _state, *_params, range, 1, _state->timezone(), _io_ctx.get(), |
1565 | 3.21k | file_meta_cache_ptr, false); |
1566 | 3.21k | RETURN_IF_ERROR(_init_orc_reader(file_meta_cache_ptr, std::move(orc_reader))); |
1567 | | // Same as above: re-apply read_by_rows to the actual _cur_reader. |
1568 | 3.21k | RETURN_IF_ERROR(_cur_reader->read_by_rows(row_ids)); |
1569 | 3.21k | break; |
1570 | 3.21k | } |
1571 | 3.21k | default: { |
1572 | 3.21k | return Status::NotSupported( |
1573 | 3.21k | "Not support create lines reader for file format: {}," |
1574 | 3.21k | "only support parquet and orc.", |
1575 | 3.21k | to_string(_params->format_type)); |
1576 | 3.21k | } |
1577 | 3.21k | } |
1578 | 3.21k | return Status::OK(); |
1579 | 3.21k | }, |
1580 | 3.21k | init_reader_ms)); |
1581 | | |
1582 | 3.21k | RETURN_IF_ERROR(_set_fill_or_truncate_columns(true)); |
1583 | 3.21k | _cur_reader_eof = false; |
1584 | | |
1585 | 3.21k | RETURN_IF_ERROR(scope_timer_run( |
1586 | 3.21k | [&]() -> Status { |
1587 | 3.21k | while (!_cur_reader_eof) { |
1588 | 3.21k | bool eof = false; |
1589 | 3.21k | RETURN_IF_ERROR(_get_block_impl(_state, result_block, &eof)); |
1590 | 3.21k | } |
1591 | 3.21k | return Status::OK(); |
1592 | 3.21k | }, |
1593 | 3.21k | get_block_ms)); |
1594 | | |
1595 | 3.21k | _cur_reader->collect_profile_before_close(); |
1596 | 3.21k | RETURN_IF_ERROR(_cur_reader->close()); |
1597 | | |
1598 | 3.21k | COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes); |
1599 | 3.21k | COUNTER_UPDATE(_file_read_time_counter, _file_reader_stats->read_time_ns); |
1600 | 3.21k | return Status::OK(); |
1601 | 3.21k | } |
1602 | | |
1603 | 10.4k | Status FileScanner::_generate_partition_columns() { |
1604 | 10.4k | _partition_col_descs.clear(); |
1605 | 10.4k | _partition_value_is_null.clear(); |
1606 | 10.4k | const TFileRangeDesc& range = _current_range; |
1607 | 10.4k | if (!range.__isset.columns_from_path_keys) { |
1608 | 25 | return Status::OK(); |
1609 | 25 | } |
1610 | | |
1611 | 10.3k | std::unordered_map<std::string, int> partition_name_to_key_index; |
1612 | 10.3k | int index = 0; |
1613 | 16.6k | for (const auto& key : range.columns_from_path_keys) { |
1614 | 16.6k | partition_name_to_key_index.emplace(key, index++); |
1615 | 16.6k | } |
1616 | | |
1617 | | // Iterate _column_descs to find PARTITION_KEY columns instead of _partition_slot_descs. |
1618 | 81.9k | for (const auto& col_desc : _column_descs) { |
1619 | 81.9k | if (col_desc.category != ColumnCategory::PARTITION_KEY) { |
1620 | 71.1k | continue; |
1621 | 71.1k | } |
1622 | 10.8k | auto pit = partition_name_to_key_index.find(col_desc.name); |
1623 | 10.9k | if (pit != partition_name_to_key_index.end()) { |
1624 | 10.9k | int values_index = pit->second; |
1625 | 10.9k | if (range.__isset.columns_from_path && values_index < range.columns_from_path.size()) { |
1626 | 10.9k | _partition_col_descs.emplace( |
1627 | 10.9k | col_desc.name, |
1628 | 10.9k | std::make_tuple(range.columns_from_path[values_index], col_desc.slot_desc)); |
1629 | 10.9k | if (range.__isset.columns_from_path_is_null) { |
1630 | 0 | _partition_value_is_null.emplace(col_desc.name, |
1631 | 0 | range.columns_from_path_is_null[values_index]); |
1632 | 0 | } |
1633 | 10.9k | } |
1634 | 10.9k | } |
1635 | 10.8k | } |
1636 | 10.3k | return Status::OK(); |
1637 | 10.4k | } |
1638 | | |
1639 | 52.4k | Status FileScanner::_init_expr_ctxes() { |
1640 | 52.4k | std::map<SlotId, int> full_src_index_map; |
1641 | 52.4k | std::map<SlotId, SlotDescriptor*> full_src_slot_map; |
1642 | 52.4k | std::map<std::string, int> partition_name_to_key_index_map; |
1643 | 52.4k | int index = 0; |
1644 | 311k | for (const auto& slot_desc : _real_tuple_desc->slots()) { |
1645 | 311k | full_src_slot_map.emplace(slot_desc->id(), slot_desc); |
1646 | 311k | full_src_index_map.emplace(slot_desc->id(), index++); |
1647 | 311k | } |
1648 | | |
1649 | | // For external table query, find the index of column in path. |
1650 | | // Because query doesn't always search for all columns in a table |
1651 | | // and the order of selected columns is random. |
1652 | | // All ranges in _ranges vector should have identical columns_from_path_keys |
1653 | | // because they are all file splits for the same external table. |
1654 | | // So here use the first element of _ranges to fill the partition_name_to_key_index_map |
1655 | 52.4k | if (_current_range.__isset.columns_from_path_keys) { |
1656 | 49.8k | std::vector<std::string> key_map = _current_range.columns_from_path_keys; |
1657 | 49.8k | if (!key_map.empty()) { |
1658 | 30.2k | for (size_t i = 0; i < key_map.size(); i++) { |
1659 | 19.7k | partition_name_to_key_index_map.emplace(key_map[i], i); |
1660 | 19.7k | } |
1661 | 10.4k | } |
1662 | 49.8k | } |
1663 | | |
1664 | 52.4k | _num_of_columns_from_file = _params->num_of_columns_from_file; |
1665 | 311k | for (const auto& slot_info : _params->required_slots) { |
1666 | 311k | auto slot_id = slot_info.slot_id; |
1667 | 311k | auto it = full_src_slot_map.find(slot_id); |
1668 | 311k | if (it == std::end(full_src_slot_map)) { |
1669 | 0 | return Status::InternalError( |
1670 | 0 | fmt::format("Unknown source slot descriptor, slot_id={}", slot_id)); |
1671 | 0 | } |
1672 | | |
1673 | 311k | ColumnDescriptor col_desc; |
1674 | 311k | col_desc.name = it->second->col_name(); |
1675 | 311k | col_desc.slot_desc = it->second; |
1676 | | |
1677 | | // Read category from Thrift if available (new FE), otherwise fall back |
1678 | | // to slot_info.is_file_slot + partition_name_to_key_index_map for broker/stream load |
1679 | | // where the FE does not set TColumnCategory. |
1680 | 311k | if (slot_info.__isset.category) { |
1681 | 263k | switch (slot_info.category) { |
1682 | 255k | case TColumnCategory::REGULAR: |
1683 | 255k | col_desc.category = ColumnCategory::REGULAR; |
1684 | 255k | break; |
1685 | 8.37k | case TColumnCategory::PARTITION_KEY: |
1686 | 8.37k | col_desc.category = ColumnCategory::PARTITION_KEY; |
1687 | 8.37k | break; |
1688 | 100 | case TColumnCategory::SYNTHESIZED: |
1689 | 100 | col_desc.category = ColumnCategory::SYNTHESIZED; |
1690 | 100 | break; |
1691 | 0 | case TColumnCategory::GENERATED: |
1692 | 0 | col_desc.category = ColumnCategory::GENERATED; |
1693 | 0 | break; |
1694 | 263k | } |
1695 | 263k | } else if (partition_name_to_key_index_map.contains(it->second->col_name()) && |
1696 | 47.4k | !slot_info.is_file_slot) { |
1697 | 2.13k | col_desc.category = ColumnCategory::PARTITION_KEY; |
1698 | 2.13k | } |
1699 | | |
1700 | 311k | if (it->second->col_name().starts_with(BeConsts::GLOBAL_ROWID_COL)) { |
1701 | 4.27k | _row_id_column_iterator_pair.second = _default_val_row_desc->get_column_id(slot_id); |
1702 | 4.27k | continue; |
1703 | 4.27k | } |
1704 | | |
1705 | 307k | bool is_row_lineage_col = false; |
1706 | 307k | if (it->second->col_name() == IcebergTableReader::ROW_LINEAGE_ROW_ID) { |
1707 | 0 | _row_lineage_columns.row_id_column_idx = _default_val_row_desc->get_column_id(slot_id); |
1708 | 0 | is_row_lineage_col = true; |
1709 | 0 | } |
1710 | | |
1711 | 307k | if (it->second->col_name() == IcebergTableReader::ROW_LINEAGE_LAST_UPDATED_SEQ_NUMBER) { |
1712 | 0 | _row_lineage_columns.last_updated_sequence_number_column_idx = |
1713 | 0 | _default_val_row_desc->get_column_id(slot_id); |
1714 | 0 | is_row_lineage_col = true; |
1715 | 0 | } |
1716 | 307k | if (is_row_lineage_col) { |
1717 | 0 | col_desc.category = ColumnCategory::SYNTHESIZED; |
1718 | 0 | } |
1719 | | |
1720 | | // Derive is_file_slot from category |
1721 | 307k | bool is_file_slot = (col_desc.category == ColumnCategory::REGULAR || |
1722 | 307k | col_desc.category == ColumnCategory::GENERATED); |
1723 | | |
1724 | 307k | if (partition_name_to_key_index_map.contains(it->second->col_name())) { |
1725 | 14.1k | if (_is_load) { |
1726 | 11 | auto iti = full_src_index_map.find(slot_id); |
1727 | 11 | _partition_slot_index_map.emplace(slot_id, iti->second - _num_of_columns_from_file); |
1728 | 14.0k | } else { |
1729 | 14.0k | auto kit = partition_name_to_key_index_map.find(it->second->col_name()); |
1730 | 14.0k | _partition_slot_index_map.emplace(slot_id, kit->second); |
1731 | 14.0k | } |
1732 | 14.1k | } |
1733 | | |
1734 | 307k | if (is_file_slot) { |
1735 | 296k | _is_file_slot.emplace(slot_id); |
1736 | 296k | _file_slot_descs.emplace_back(it->second); |
1737 | 296k | _file_col_names.push_back(it->second->col_name()); |
1738 | 296k | } |
1739 | | |
1740 | 307k | _column_descs.push_back(col_desc); |
1741 | 307k | } |
1742 | | |
1743 | | // set column name to default value expr map |
1744 | | // new inline TFileScanSlotInfo.default_value_expr (preferred) |
1745 | 311k | for (const auto& slot_info : _params->required_slots) { |
1746 | 311k | auto slot_id = slot_info.slot_id; |
1747 | 311k | auto it = full_src_slot_map.find(slot_id); |
1748 | 311k | if (it == std::end(full_src_slot_map)) { |
1749 | 0 | continue; |
1750 | 0 | } |
1751 | 311k | const std::string& col_name = it->second->col_name(); |
1752 | | |
1753 | 311k | VExprContextSPtr ctx; |
1754 | 311k | bool has_default = false; |
1755 | | |
1756 | | // Prefer inline default_value_expr from TFileScanSlotInfo (new FE) |
1757 | 311k | if (slot_info.__isset.default_value_expr && !slot_info.default_value_expr.nodes.empty()) { |
1758 | 18.8k | RETURN_IF_ERROR(VExpr::create_expr_tree(slot_info.default_value_expr, ctx)); |
1759 | 18.8k | RETURN_IF_ERROR(ctx->prepare(_state, *_default_val_row_desc)); |
1760 | 18.8k | RETURN_IF_ERROR(ctx->open(_state)); |
1761 | 18.8k | has_default = true; |
1762 | 292k | } else if (slot_info.__isset.default_value_expr) { |
1763 | | // Empty nodes means null default (same as legacy empty TExpr) |
1764 | 3.87k | has_default = true; |
1765 | 3.87k | } |
1766 | | |
1767 | | // // Fall back to legacy default_value_of_src_slot map (old FE) |
1768 | | // if (!has_default) { |
1769 | | // auto legacy_it = _params->default_value_of_src_slot.find(slot_id); |
1770 | | // if (legacy_it != std::end(_params->default_value_of_src_slot)) { |
1771 | | // if (!legacy_it->second.nodes.empty()) { |
1772 | | // RETURN_IF_ERROR(VExpr::create_expr_tree(legacy_it->second, ctx)); |
1773 | | // RETURN_IF_ERROR(ctx->prepare(_state, *_default_val_row_desc)); |
1774 | | // RETURN_IF_ERROR(ctx->open(_state)); |
1775 | | // } |
1776 | | // has_default = true; |
1777 | | // } |
1778 | | // } |
1779 | | |
1780 | 311k | if (has_default) { |
1781 | | // if expr is empty, the default value will be null |
1782 | 22.7k | _col_default_value_ctx.emplace(col_name, ctx); |
1783 | 22.7k | } |
1784 | 311k | } |
1785 | | |
1786 | | // Populate default_expr in each ColumnDescriptor from _col_default_value_ctx. |
1787 | | // This makes default values available to readers via column_descs, eliminating the |
1788 | | // need for the separate _generate_missing_columns roundtrip. |
1789 | 307k | for (auto& col_desc : _column_descs) { |
1790 | 307k | auto it = _col_default_value_ctx.find(col_desc.name); |
1791 | 307k | if (it != _col_default_value_ctx.end()) { |
1792 | 22.7k | col_desc.default_expr = it->second; |
1793 | 22.7k | } |
1794 | 307k | } |
1795 | | |
1796 | 52.5k | if (_is_load) { |
1797 | | // follow desc expr map is only for load task. |
1798 | 2.48k | bool has_slot_id_map = _params->__isset.dest_sid_to_src_sid_without_trans; |
1799 | 2.48k | int idx = 0; |
1800 | 29.2k | for (auto* slot_desc : _output_tuple_desc->slots()) { |
1801 | 29.2k | auto it = _params->expr_of_dest_slot.find(slot_desc->id()); |
1802 | 29.2k | if (it == std::end(_params->expr_of_dest_slot)) { |
1803 | 0 | return Status::InternalError("No expr for dest slot, id={}, name={}", |
1804 | 0 | slot_desc->id(), slot_desc->col_name()); |
1805 | 0 | } |
1806 | | |
1807 | 29.2k | VExprContextSPtr ctx; |
1808 | 29.2k | if (!it->second.nodes.empty()) { |
1809 | 29.2k | RETURN_IF_ERROR(VExpr::create_expr_tree(it->second, ctx)); |
1810 | 29.2k | RETURN_IF_ERROR(ctx->prepare(_state, *_src_row_desc)); |
1811 | 29.2k | RETURN_IF_ERROR(ctx->open(_state)); |
1812 | 29.2k | } |
1813 | 29.2k | _dest_vexpr_ctx.emplace_back(ctx); |
1814 | 29.2k | _dest_slot_name_to_idx[slot_desc->col_name()] = idx++; |
1815 | | |
1816 | 29.2k | if (has_slot_id_map) { |
1817 | 29.2k | auto it1 = _params->dest_sid_to_src_sid_without_trans.find(slot_desc->id()); |
1818 | 29.2k | if (it1 == std::end(_params->dest_sid_to_src_sid_without_trans)) { |
1819 | 6.45k | _src_slot_descs_order_by_dest.emplace_back(nullptr); |
1820 | 22.7k | } else { |
1821 | 22.7k | auto _src_slot_it = full_src_slot_map.find(it1->second); |
1822 | 22.7k | if (_src_slot_it == std::end(full_src_slot_map)) { |
1823 | 0 | return Status::InternalError("No src slot {} in src slot descs", |
1824 | 0 | it1->second); |
1825 | 0 | } |
1826 | 22.7k | _dest_slot_to_src_slot_index.emplace(_src_slot_descs_order_by_dest.size(), |
1827 | 22.7k | full_src_index_map[_src_slot_it->first]); |
1828 | 22.7k | _src_slot_descs_order_by_dest.emplace_back(_src_slot_it->second); |
1829 | 22.7k | } |
1830 | 29.2k | } |
1831 | 29.2k | } |
1832 | 2.48k | } |
1833 | 52.5k | return Status::OK(); |
1834 | 52.5k | } |
1835 | | |
1836 | 396k | bool FileScanner::_should_enable_condition_cache() { |
1837 | 396k | DCHECK(_should_enable_condition_cache_handler != nullptr); |
1838 | 396k | return _condition_cache_digest != 0 && (this->*_should_enable_condition_cache_handler)() && |
1839 | 396k | (!_conjuncts.empty() || !_push_down_conjuncts.empty()); |
1840 | 396k | } |
1841 | | |
1842 | 0 | bool FileScanner::_should_enable_condition_cache_for_load() const { |
1843 | 0 | return false; |
1844 | 0 | } |
1845 | | |
1846 | 329k | bool FileScanner::_should_enable_condition_cache_for_query() const { |
1847 | 329k | return true; |
1848 | 329k | } |
1849 | | |
1850 | 70.2k | bool FileScanner::_should_push_down_predicates(TFileFormatType::type format_type) const { |
1851 | 70.2k | DCHECK(_should_push_down_predicates_handler != nullptr); |
1852 | 70.2k | return (this->*_should_push_down_predicates_handler)(format_type); |
1853 | 70.2k | } |
1854 | | |
1855 | 2.49k | bool FileScanner::_should_push_down_predicates_for_load(TFileFormatType::type format_type) const { |
1856 | 2.49k | static_cast<void>(format_type); |
1857 | 2.49k | return false; |
1858 | 2.49k | } |
1859 | | |
1860 | 67.8k | bool FileScanner::_should_push_down_predicates_for_query(TFileFormatType::type format_type) const { |
1861 | | // JNI readers handle predicate conversion in their own paths. |
1862 | 67.8k | return format_type != TFileFormatType::FORMAT_JNI; |
1863 | 67.8k | } |
1864 | | |
1865 | 155k | void FileScanner::_init_reader_condition_cache() { |
1866 | 155k | _condition_cache = nullptr; |
1867 | 155k | _condition_cache_ctx = nullptr; |
1868 | | |
1869 | 155k | if (!_should_enable_condition_cache() || !_cur_reader) { |
1870 | 134k | return; |
1871 | 134k | } |
1872 | | |
1873 | | // Disable condition cache when delete operations exist (e.g. Iceberg position/equality |
1874 | | // deletes, Hive ACID deletes). Cached granule results may become stale if delete files |
1875 | | // change between queries while the data file's cache key remains the same. |
1876 | 21.0k | if (_cur_reader->has_delete_operations()) { |
1877 | 2.18k | return; |
1878 | 2.18k | } |
1879 | | |
1880 | 18.8k | auto* cache = segment_v2::ConditionCache::instance(); |
1881 | 18.8k | _condition_cache_key = segment_v2::ConditionCache::ExternalCacheKey( |
1882 | 18.8k | _current_range.path, |
1883 | 18.4E | _current_range.__isset.modification_time ? _current_range.modification_time : 0, |
1884 | 18.4E | _current_range.__isset.file_size ? _current_range.file_size : -1, |
1885 | 18.8k | _condition_cache_digest, |
1886 | 18.4E | _current_range.__isset.start_offset ? _current_range.start_offset : 0, |
1887 | 18.4E | _current_range.__isset.size ? _current_range.size : -1); |
1888 | | |
1889 | 18.8k | segment_v2::ConditionCacheHandle handle; |
1890 | 18.8k | auto condition_cache_hit = cache->lookup(_condition_cache_key, &handle); |
1891 | 18.8k | if (condition_cache_hit) { |
1892 | 7.73k | _condition_cache = handle.get_filter_result(); |
1893 | 7.73k | _condition_cache_hit_count++; |
1894 | 11.1k | } else { |
1895 | | // Allocate cache pre-sized to total number of granules. |
1896 | | // We add +1 as a safety margin: when a file is split across multiple scanners |
1897 | | // and the first row of this scanner's range is not aligned to a granule boundary, |
1898 | | // the data may span one more granule than ceil(total_rows / GRANULE_SIZE). |
1899 | | // The extra element costs only 1 bit and never affects correctness (an extra |
1900 | | // false-granule beyond the actual data range won't overlap any real row range). |
1901 | 11.1k | int64_t total_rows = _cur_reader->get_total_rows(); |
1902 | 11.1k | if (total_rows > 0) { |
1903 | 9.32k | size_t num_granules = (total_rows + ConditionCacheContext::GRANULE_SIZE - 1) / |
1904 | 9.32k | ConditionCacheContext::GRANULE_SIZE; |
1905 | 9.32k | _condition_cache = std::make_shared<std::vector<bool>>(num_granules + 1, false); |
1906 | 9.32k | } |
1907 | 11.1k | } |
1908 | | |
1909 | 18.8k | if (_condition_cache) { |
1910 | | // Create context to pass to readers (native readers use it; non-native readers ignore it) |
1911 | 17.0k | _condition_cache_ctx = std::make_shared<ConditionCacheContext>(); |
1912 | 17.0k | _condition_cache_ctx->is_hit = condition_cache_hit; |
1913 | 17.0k | _condition_cache_ctx->filter_result = _condition_cache; |
1914 | 17.0k | _cur_reader->set_condition_cache_context(_condition_cache_ctx); |
1915 | 17.0k | } |
1916 | 18.8k | } |
1917 | | |
1918 | 241k | void FileScanner::_finalize_reader_condition_cache() { |
1919 | 241k | if (!_should_enable_condition_cache() || !_condition_cache_ctx || |
1920 | 241k | _condition_cache_ctx->is_hit) { |
1921 | 232k | _condition_cache = nullptr; |
1922 | 232k | _condition_cache_ctx = nullptr; |
1923 | 232k | return; |
1924 | 232k | } |
1925 | | // Only store the cache if the reader was fully consumed. If the scan was |
1926 | | // truncated early (e.g. by LIMIT), the cache is incomplete — unread granules |
1927 | | // would remain false and cause surviving rows to be incorrectly skipped on HIT. |
1928 | 9.33k | if (!_cur_reader_eof) { |
1929 | 60 | _condition_cache = nullptr; |
1930 | 60 | _condition_cache_ctx = nullptr; |
1931 | 60 | return; |
1932 | 60 | } |
1933 | | |
1934 | 9.27k | auto* cache = segment_v2::ConditionCache::instance(); |
1935 | 9.27k | cache->insert(_condition_cache_key, std::move(_condition_cache)); |
1936 | 9.27k | _condition_cache = nullptr; |
1937 | 9.27k | _condition_cache_ctx = nullptr; |
1938 | 9.27k | } |
1939 | | |
1940 | 85.8k | Status FileScanner::close(RuntimeState* state) { |
1941 | 85.8k | if (!_try_close()) { |
1942 | 0 | return Status::OK(); |
1943 | 0 | } |
1944 | | |
1945 | 85.8k | _finalize_reader_condition_cache(); |
1946 | | |
1947 | 85.8k | if (_cur_reader) { |
1948 | 605 | RETURN_IF_ERROR(_cur_reader->close()); |
1949 | 605 | } |
1950 | | |
1951 | 85.8k | RETURN_IF_ERROR(Scanner::close(state)); |
1952 | 85.8k | return Status::OK(); |
1953 | 85.8k | } |
1954 | | |
1955 | 85.8k | void FileScanner::try_stop() { |
1956 | 85.8k | Scanner::try_stop(); |
1957 | 85.8k | if (_io_ctx) { |
1958 | 85.8k | _io_ctx->should_stop = true; |
1959 | 85.8k | } |
1960 | 85.8k | } |
1961 | | |
1962 | 85.7k | void FileScanner::update_realtime_counters() { |
1963 | 85.7k | FileScanLocalState* local_state = static_cast<FileScanLocalState*>(_local_state); |
1964 | | |
1965 | 85.7k | COUNTER_UPDATE(local_state->_scan_bytes, _file_reader_stats->read_bytes); |
1966 | 85.7k | COUNTER_UPDATE(local_state->_scan_rows, _file_reader_stats->read_rows); |
1967 | | |
1968 | 85.7k | _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_rows( |
1969 | 85.7k | _file_reader_stats->read_rows); |
1970 | 85.7k | _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_bytes( |
1971 | 85.7k | _file_reader_stats->read_bytes); |
1972 | | |
1973 | 85.7k | int64_t delta_bytes_read_from_local = |
1974 | 85.7k | _file_cache_statistics->bytes_read_from_local - _last_bytes_read_from_local; |
1975 | 85.7k | int64_t delta_bytes_read_from_remote = |
1976 | 85.7k | _file_cache_statistics->bytes_read_from_remote - _last_bytes_read_from_remote; |
1977 | 85.7k | if (_file_cache_statistics->bytes_read_from_local == 0 && |
1978 | 85.7k | _file_cache_statistics->bytes_read_from_remote == 0) { |
1979 | 84.9k | _state->get_query_ctx() |
1980 | 84.9k | ->resource_ctx() |
1981 | 84.9k | ->io_context() |
1982 | 84.9k | ->update_scan_bytes_from_remote_storage(_file_reader_stats->read_bytes); |
1983 | 84.9k | DorisMetrics::instance()->query_scan_bytes_from_local->increment( |
1984 | 84.9k | _file_reader_stats->read_bytes); |
1985 | 84.9k | } else { |
1986 | 760 | _state->get_query_ctx()->resource_ctx()->io_context()->update_scan_bytes_from_local_storage( |
1987 | 760 | delta_bytes_read_from_local); |
1988 | 760 | _state->get_query_ctx() |
1989 | 760 | ->resource_ctx() |
1990 | 760 | ->io_context() |
1991 | 760 | ->update_scan_bytes_from_remote_storage(delta_bytes_read_from_remote); |
1992 | 760 | DorisMetrics::instance()->query_scan_bytes_from_local->increment( |
1993 | 760 | delta_bytes_read_from_local); |
1994 | 760 | DorisMetrics::instance()->query_scan_bytes_from_remote->increment( |
1995 | 760 | delta_bytes_read_from_remote); |
1996 | 760 | } |
1997 | | |
1998 | 85.7k | COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes); |
1999 | | |
2000 | 85.7k | DorisMetrics::instance()->query_scan_bytes->increment(_file_reader_stats->read_bytes); |
2001 | 85.7k | DorisMetrics::instance()->query_scan_rows->increment(_file_reader_stats->read_rows); |
2002 | | |
2003 | 85.7k | _file_reader_stats->read_bytes = 0; |
2004 | 85.7k | _file_reader_stats->read_rows = 0; |
2005 | | |
2006 | 85.7k | _last_bytes_read_from_local = _file_cache_statistics->bytes_read_from_local; |
2007 | 85.7k | _last_bytes_read_from_remote = _file_cache_statistics->bytes_read_from_remote; |
2008 | 85.7k | } |
2009 | | |
2010 | 85.6k | void FileScanner::_collect_profile_before_close() { |
2011 | 85.6k | Scanner::_collect_profile_before_close(); |
2012 | 85.7k | if (config::enable_file_cache && _state->query_options().enable_file_cache && |
2013 | 85.6k | _profile != nullptr) { |
2014 | 1.32k | io::FileCacheProfileReporter cache_profile(_profile); |
2015 | 1.32k | cache_profile.update(_file_cache_statistics.get()); |
2016 | 1.32k | _state->get_query_ctx()->resource_ctx()->io_context()->update_bytes_write_into_cache( |
2017 | 1.32k | _file_cache_statistics->bytes_write_into_cache); |
2018 | 1.32k | } |
2019 | | |
2020 | 85.6k | if (_cur_reader != nullptr) { |
2021 | 605 | _cur_reader->collect_profile_before_close(); |
2022 | 605 | } |
2023 | | |
2024 | 85.6k | FileScanLocalState* local_state = static_cast<FileScanLocalState*>(_local_state); |
2025 | 85.6k | COUNTER_UPDATE(local_state->_scan_bytes, _file_reader_stats->read_bytes); |
2026 | 85.6k | COUNTER_UPDATE(local_state->_scan_rows, _file_reader_stats->read_rows); |
2027 | | |
2028 | 85.6k | COUNTER_UPDATE(_file_read_bytes_counter, _file_reader_stats->read_bytes); |
2029 | 85.6k | COUNTER_UPDATE(_file_read_calls_counter, _file_reader_stats->read_calls); |
2030 | 85.6k | COUNTER_UPDATE(_file_read_time_counter, _file_reader_stats->read_time_ns); |
2031 | 85.6k | COUNTER_UPDATE(local_state->_condition_cache_hit_counter, _condition_cache_hit_count); |
2032 | 85.7k | if (_io_ctx) { |
2033 | 85.7k | COUNTER_UPDATE(local_state->_condition_cache_filtered_rows_counter, |
2034 | 85.7k | _io_ctx->condition_cache_filtered_rows); |
2035 | 85.7k | } |
2036 | | |
2037 | 85.6k | DorisMetrics::instance()->query_scan_bytes->increment(_file_reader_stats->read_bytes); |
2038 | 85.6k | DorisMetrics::instance()->query_scan_rows->increment(_file_reader_stats->read_rows); |
2039 | 85.6k | } |
2040 | | |
2041 | | } // namespace doris |