HboPlanStatisticsManager.java
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package org.apache.doris.nereids.stats;
import org.apache.doris.common.Config;
import org.apache.doris.common.FeConstants;
import org.apache.doris.common.util.TimeUtils;
import org.apache.doris.statistics.hbo.PlanStatistics;
import org.apache.doris.statistics.hbo.RecentRunsPlanStatistics;
import org.apache.doris.statistics.hbo.RecentRunsPlanStatisticsEntry;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import com.google.common.collect.Lists;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicInteger;
/**
* Global service for hbo plan stats. manager, including:
* - HboPlanStatisticsProvider instance: hbo plan stats. cache (learned entries)
* - HboPlanInfoProvider instance: plan info for runtime stats. identification
* - pinned hbo statistics: manually injected statistics via the {@code HBO SET STATISTICS}
* statement, keyed by the hbo fingerprint; pinned entries take precedence over learned ones
* and are never overwritten or evicted by the automatic profile-based collection.
*
* <p>Pinned statistics are per-FE in memory; when
* {@code Config.hbo_persist_pinned_to_internal_db} is enabled they are additionally written
* through to {@code __internal_schema.hbo_statistics} and each FE loads the table into memory
* once, in the background ({@link HboPinnedStatisticsLoader}, started by {@code Env}), so that the
* planning path never runs a query of its own: the internal statement a load issues would be
* planned on the calling thread, and its own plan consults this manager - a read path which
* triggered the load could therefore re-enter the load while a SET/DELETE is in between its memory
* update and its DB write. The in-memory cache stays authoritative: loaded entries are merged
* with putIfAbsent, so entries injected while persistence was off (or concurrently) win over the
* stored snapshot, and a DELETE whose DB removal failed while the load was still pending is
* tombstoned so the pending load cannot resurrect it. Once the load succeeds, rows that were
* actually seen in the loaded snapshot and suppressed by a tombstone are best-effort removed
* from the table again, so they do not reappear after this FE restarts (unless that removal
* fails too); a tombstoned row that the load did not see (e.g. hidden by replica read lag) is
* not re-removed and may reappear after a FE restart. A FE never refreshes entries SET by
* another FE during its lifetime: under this per-FE weak consistency model a tombstone can
* therefore also suppress (and, if it was part of the loaded snapshot, remove) a row that
* another FE re-created before this FE's snapshot, while a row created after the snapshot
* survives until this FE restarts and reloads.
*/
public class HboPlanStatisticsManager {
/** How often the background loader retries a load which could not run (schema not ready yet). */
static final long LOAD_RETRY_INTERVAL_MS = 30_000L;
private static final Logger LOG = LogManager.getLogger(HboPlanStatisticsManager.class);
/**
* How a manually injected (pinned) row count is applied.
*/
public enum PinnedType {
/** unconditional override once the fingerprint matches. */
EXACT,
/**
* only applied while the optimizer's own filter estimate is in the pathological
* "extremely small" regime (see {@code Config.hbo_filter_small_ratio}), so a stale
* injection can not override a healthy estimate.
*/
FILTER_SMALL,
/**
* Not a row count but a fan-out factor relative to the <b>larger</b> of the two inputs of
* one join ({@code output rows / max(left rows, right rows)}: 0.1 keeps 10% of the larger
* input, 1000 fans out to 1000 times it, see
* {@code HboStatsCalculator.applyPinnedJoinExpansion}). The factor is kept in
* {@link PinnedHboStatistics#getExpansion()} and the key is the fingerprint of the join
* equality conditions (see {@link HboJoinConditions}), not the fingerprint of a sub tree.
* Injected with {@code HBO SET STATISTICS ... TYPE=JOIN_EXPANSION}; it is stored in the same
* internal table and survives a FE restart like any other pinned entry.
*/
JOIN_EXPANSION;
/** Parse a user supplied type name, returns null when unknown. */
public static PinnedType fromName(String name) {
if (name == null) {
return null;
}
for (PinnedType type : values()) {
if (type.name().equalsIgnoreCase(name)) {
return type;
}
}
return null;
}
}
/**
* Which struct info an entry is keyed by: {@link #WITH_LITERAL} carries the literal values
* ({@code lit(1:INT)}, only that constant matches), {@link #NO_LITERAL} has every literal
* replaced by {@code lit(*)} (every constant of the same predicate shape matches). It is
* decided when the entry is injected (see {@code HBO SET STATISTICS ... LITERAL_MODE}) and
* persisted, so it is known without ever applying the entry.
*/
public enum LiteralMode {
WITH_LITERAL,
NO_LITERAL
}
private HboPlanStatisticsProvider hboPlanStatisticsProvider;
// the background loader of the persisted pinned entries (started by Env, see
// startPinnedStatisticsLoader); it is the only caller of ensurePinnedLoaded
private HboPinnedStatisticsLoader loader;
private HboPlanInfoProvider hboPlanInfoProvider;
// LRU bound follows the sibling hbo caches (see HboPlanInfoProvider): a non-positive
// hbo_pinned_stats_cache_num disables the bound instead of silently disabling injection
private final Cache<String, PinnedHboStatistics> pinnedPlanStatistics =
(Config.hbo_pinned_stats_cache_num > 0
? Caffeine.newBuilder().maximumSize(Config.hbo_pinned_stats_cache_num)
: Caffeine.newBuilder())
.build();
// whether pinned statistics have been loaded from the internal table (only when persistence
// is enabled); planner/command threads access it concurrently
private volatile boolean hboPinnedLoaded = false;
// canonical struct info of the learned entries which were injected together with a struct
// literal (HBO SET LEARNED STATISTICS ... STRUCT '...'): a learned key is generated internally,
// so this is the only way HBO SHOW STATISTICS can print (and match) the struct info of a
// learned entry. Display only, bounded like the sibling caches, empty for learned entries
// injected by fingerprint alone.
private final Cache<String, String> learnedStructCanonical =
(Config.hbo_pinned_stats_cache_num > 0
? Caffeine.newBuilder().maximumSize(Config.hbo_pinned_stats_cache_num)
: Caffeine.newBuilder())
.build();
// serializes the memory phases of the lazy load, SET and DELETE against each other (including
// the best-effort persistence SQL of DELETE, so no load can observe a row in between a
// DELETE's memory invalidation and its DB removal)
private final Object pinnedLoadLock = new Object();
// the relation keys (see GroupStructInfo.HboStructSummary) of the pinned row count entries, so
// the read side can skip the expensive fingerprint of a group whose sub tree reads other tables
// than any entry does. Only appended to (an evicted entry may keep its key): an over
// approximation can only make a lookup happen, never suppress one.
private final Set<String> pinnedRelationKeys = ConcurrentHashMap.newKeySet();
// entries whose struct info records no scan at all (a hand written literal): they can not be
// classified by a relation key, so they disable the pre filter while they exist
private final AtomicInteger pinnedEntriesWithoutRelationKey = new AtomicInteger();
// backoff timestamp after a failed load attempt, so a not-ready internal schema does not
// trigger a DDL+SELECT retry for every group of every query (guarded by pinnedLoadLock)
private long lastLoadFailedMs = 0L;
// fingerprints whose DELETE could not be removed from the internal table while a lazy load
// is still pending (hboPinnedLoaded false); the pending or retrying load must not resurrect
// them into memory. Cleared after a successful load, at which point the rows actually seen
// in the loaded snapshot are best-effort removed from the table again; a tombstoned row the
// load did not see (e.g. replica read lag) is not re-removed and may reappear after a FE
// restart. Under the per-FE weak consistency model a tombstone can also suppress/remove a
// row that another FE re-created before this FE's snapshot (see class javadoc).
// (guarded by pinnedLoadLock)
private final Set<String> pendingLoadTombstones = new HashSet<>();
public HboPlanStatisticsManager() {
hboPlanStatisticsProvider = new MemoryHboPlanStatisticsProvider();
hboPlanInfoProvider = new HboPlanInfoProvider();
}
public HboPlanStatisticsProvider getHboPlanStatisticsProvider() {
return hboPlanStatisticsProvider;
}
public HboPlanInfoProvider getHboPlanInfoProvider() {
return hboPlanInfoProvider;
}
/**
* Inject (or overwrite) a pinned statistics entry applied unconditionally.
* @param fingerprint hbo fingerprint (simplified group struct info sha256)
* @param rows output row count that overrides the optimizer estimation
* @param structCanonical optional human-readable simplified struct info canonical string
*/
public void putPinnedPlanStatistics(String fingerprint, long rows, String structCanonical) {
putPinnedPlanStatistics(fingerprint, rows, PinnedType.EXACT, structCanonical, LiteralMode.NO_LITERAL);
}
/**
* Inject (or overwrite) a pinned statistics entry.
* @param type how the injected row count is applied (unconditional vs filter-small guard)
* @param structCanonical optional human-readable simplified struct info canonical string
*/
public void putPinnedPlanStatistics(String fingerprint, long rows, PinnedType type, String structCanonical,
LiteralMode literalMode) {
putPinnedStatistics(fingerprint, rows, type, structCanonical, 0, literalMode);
}
/**
* Inject (or overwrite) a pinned statistics entry.
*
* @param expansion fan-out factor, only for {@link PinnedType#JOIN_EXPANSION} entries
*/
private void putPinnedStatistics(String fingerprint, long rows, PinnedType type, String structCanonical,
double expansion, LiteralMode literalMode) {
// LRU bounded by Config.hbo_pinned_stats_cache_num; pinned entries are otherwise never
// expired automatically and are only removed by HBO DELETE STATISTICS or eviction
long createTimeMs = System.currentTimeMillis();
synchronized (pinnedLoadLock) {
pinnedPlanStatistics.put(fingerprint,
new PinnedHboStatistics(fingerprint, rows, type, structCanonical, expansion, literalMode,
createTimeMs));
if (type != PinnedType.JOIN_EXPANSION) {
// only row count entries are looked up by relation key: a join expansion entry is
// keyed by the join conditions, is rejected by getPinnedPlanStatistics, and its
// scanless canonical would turn the pre filter into a no-op for every group
registerRelationKey(structCanonical);
}
// a SET after a failed DELETE re-creates the entry: drop the deletion intent so a
// pending load does not skip the re-created row
pendingLoadTombstones.remove(fingerprint);
// persist under the same lock as DELETE's DB removal, so concurrent same-key
// SET/DELETE serialize their DB writes in the same order as their memory updates
// and, when the best-effort writes succeed, the stored row matches the last memory
// writer (a failed write only logs a warning and may reappear after a FE restart)
if (persistenceEnabled()) {
HboStatisticsStore.persist(fingerprint, rows, type, structCanonical, expansion, literalMode,
createTimeMs);
}
}
}
/**
* The pinned row-count entry of a sub tree. Entries of another kind (a join expansion factor
* keyed by the join conditions) are never returned here, so the two read paths can not pick up
* each other's entry.
*
* <p>This is the planning hot path, so it only reads the in-memory cache: the persisted entries
* of this FE are loaded by {@link HboPinnedStatisticsLoader} in the background. Doing it here
* would run a DDL and a full table scan on a user query's planning thread, and the internal
* statement it runs would re-enter this manager (see the class javadoc).
*/
public Optional<PinnedHboStatistics> getPinnedPlanStatistics(String fingerprint) {
return Optional.ofNullable(pinnedPlanStatistics.getIfPresent(fingerprint))
.filter(pinned -> !pinned.isExpansion());
}
/**
* Whether this FE holds any pinned entry at all (of any kind). The planning path looks an entry
* up by the hbo fingerprint of a plan node, and that fingerprint is expensive to build (a whole
* memo subtree traversal); an empty cache means every such lookup is a guaranteed miss, so the
* caller can skip building the fingerprint. Like {@link #getPinnedPlanStatistics(String)} this
* only reads the in-memory cache and never triggers the background loader.
*/
public boolean hasAnyPinnedStatistics() {
return !pinnedPlanStatistics.asMap().isEmpty();
}
/**
* Whether a pinned entry could possibly apply to a sub tree which reads exactly {@code
* relationKey} (see {@link GroupStructInfo.HboStructSummary#getRelationKey()}).
*
* <p>An entry is keyed by the fingerprint of its struct info, and two equal struct infos
* necessarily read the same tables, so an entry whose relation key differs can not match: the
* caller can skip building the (expensive) fingerprint. The index is an over approximation -
* keys are only ever added, so a removed or evicted entry may keep its key - which can only make
* a lookup happen, never suppress one.
*/
public boolean mayHavePinnedEntryForRelations(String relationKey) {
return pinnedEntriesWithoutRelationKey.get() > 0 || pinnedRelationKeys.contains(relationKey);
}
/** Register the relation key of an entry's struct info in the lookup index. */
private void registerRelationKey(String structCanonical) {
List<HboScanDescriptor> scans = HboScanDescriptor.parseAll(structCanonical);
if (scans.isEmpty()) {
// an entry which records no scan at all can not be filtered by a relation key
pinnedEntriesWithoutRelationKey.incrementAndGet();
return;
}
List<String> tables = new ArrayList<>(scans.size());
for (HboScanDescriptor scan : scans) {
tables.add(scan.getTable());
}
Collections.sort(tables);
pinnedRelationKeys.add(String.join(",", tables));
}
/**
* Remove a pinned statistics entry. Learned entries of the same key (if any) are left
* untouched here; callers may invalidate them explicitly.
*/
public void removePinnedPlanStatistics(String fingerprint) {
synchronized (pinnedLoadLock) {
pinnedPlanStatistics.invalidate(fingerprint);
if (persistenceEnabled()) {
// the DB removal runs under the lock so a lazy load can never SELECT the row in
// the window between the memory invalidation and its DB removal (M-1 R1)
if (!HboStatisticsStore.delete(fingerprint) && !hboPinnedLoaded) {
// the row is still stored and a pending/retrying load would resurrect it
// into memory: remember the deletion intent (M-1 R2)
pendingLoadTombstones.add(fingerprint);
}
}
}
}
/**
* Inject (or overwrite) the fan-out factor of a set of join equality conditions
* ({@code HBO SET STATISTICS ... TYPE=JOIN_EXPANSION}). It is a pinned entry like every other
* hbo statistics entry - same table, same lifecycle - only its value is a factor instead of a
* row count and its key is the join condition fingerprint.
*
* @param fingerprint sha256 of the canonical equality-condition set
* @param expansion measured fan-out factor relative to the larger input of the join (0.1 keeps
* 10% of the larger input, 1000 fans out to 1000 times it), greater than 0
* @param condCanonical the canonical equality-condition set the factor was measured for
*/
public void putPinnedExpansionStatistics(String fingerprint, double expansion, String condCanonical) {
// a condition key never carries a literal by itself: it is the constant agnostic form
putPinnedStatistics(fingerprint, 0, PinnedType.JOIN_EXPANSION, condCanonical, expansion,
LiteralMode.NO_LITERAL);
}
/**
* The pinned join expansion entry of a set of equality conditions, if one was injected.
*/
public Optional<PinnedHboStatistics> getPinnedExpansion(String fingerprint) {
return Optional.ofNullable(pinnedPlanStatistics.getIfPresent(fingerprint))
.filter(PinnedHboStatistics::isExpansion);
}
/**
* Inject a learned entry (used by {@code HBO SET LEARNED STATISTICS}) so that the learned
* lookup path can be exercised without waiting for a real profile publish. The injected entry
* carries no input table statistics and therefore matches by fingerprint alone.
*/
public void putLearnedPlanStatistics(String fingerprint, long rows, String structCanonical) {
PlanStatistics planStatistics = new PlanStatistics(0, rows, rows, rows, rows,
rows, rows, rows, rows, 0, 0, 1);
RecentRunsPlanStatistics runs = new RecentRunsPlanStatistics(
Lists.newArrayList(new RecentRunsPlanStatisticsEntry(planStatistics, Lists.newArrayList())));
hboPlanStatisticsProvider.putHboPlanStatsByFingerprint(fingerprint, runs);
if (structCanonical != null && !structCanonical.isEmpty()) {
learnedStructCanonical.put(fingerprint, structCanonical);
}
}
/** The struct info a learned entry was injected with, when it was injected with one. */
public Optional<String> getLearnedStructCanonical(String fingerprint) {
return Optional.ofNullable(learnedStructCanonical.getIfPresent(fingerprint));
}
/** Remove a learned entry by fingerprint. */
public void removeLearnedPlanStatistics(String fingerprint) {
hboPlanStatisticsProvider.removeHboPlanStats(fingerprint);
learnedStructCanonical.invalidate(fingerprint);
}
/**
* Remove every pinned entry which can never be applied again: an entry records the data state it
* was measured in (the baseline of the scans of its struct info), and once a table moved beyond
* {@code Config.hbo_row_count_change_ratio} (or was dropped) the entry is not applied any more
* (see {@link HboStructFreshness}); it only keeps a cache slot until it is removed here. Entries
* which are merely {@code drifted} (the data moved, but within the tolerance) are kept: they are
* still applied.
*
* @param olderThanMillis when non negative, entries whose state cannot be determined (their
* struct info records no comparable state, e.g. it prunes partitions or
* does not resolve to existing tables) are removed as well, but only when
* they are older than this many milliseconds; a negative value keeps them
* @return the number of removed entries
*/
public int deleteStalePinnedPlanStatistics(long olderThanMillis) {
long now = System.currentTimeMillis();
int removed = 0;
for (PinnedHboStatistics pinned : getAllPinnedPlanStatistics().values()) {
// an expansion entry is keyed by join conditions and carries no data state, so it can
// neither go stale nor be judged by age: OLDER_THAN must not silently drop it
if (pinned.isExpansion()) {
continue;
}
HboStructFreshness freshness = HboStructFreshness.of(pinned.getStructCanonical());
boolean obsolete = freshness.isStale()
|| (olderThanMillis >= 0 && freshness.isUnknown()
&& now - pinned.getCreateTime() > olderThanMillis);
if (obsolete) {
removePinnedPlanStatistics(pinned.getFingerprint());
removed++;
}
}
return removed;
}
/**
* Every pinned entry of this FE, after making sure the persisted ones have been loaded.
*
* <p>Unlike the planning path ({@link #getPinnedPlanStatistics}) this is only used by the admin
* statements ({@code HBO SHOW} / {@code HBO DELETE STALE STATISTICS}), which are expected to wait
* for the entries of the internal table and to report what is stored. Loading here cannot
* re-enter the way it could before the load moved to {@link HboPinnedStatisticsLoader}: the
* internal statement a load runs is planned by this FE, and its planning reads the pinned cache
* without triggering a load any more.
*/
public Map<String, PinnedHboStatistics> getAllPinnedPlanStatistics() {
ensurePinnedLoaded();
return Collections.unmodifiableMap(pinnedPlanStatistics.asMap());
}
/**
* Start loading the persisted pinned statistics of this FE in the background. Called once by
* {@code Env} while the daemon threads are started; a FE which never loads them (the internal
* schema is not ready, or persistence is turned off) simply plans without the persisted entries.
*/
public void startPinnedStatisticsLoader() {
synchronized (pinnedLoadLock) {
if (loader != null && loader.isAlive()) {
// the daemon threads are started again when a FE is promoted; a second loader would
// only double the retry attempts
return;
}
loader = new HboPinnedStatisticsLoader(this);
loader.start();
}
LOG.info("started the hbo pinned statistics loader");
}
/** Whether the persisted pinned statistics of this FE have been loaded (or are not needed). */
public boolean isPinnedStatisticsLoaded() {
return hboPinnedLoaded || !FeConstants.enableInternalSchemaDb;
}
/** Whether the loader has nothing left to do. */
boolean needsPinnedStatisticsLoad() {
return FeConstants.enableInternalSchemaDb && !hboPinnedLoaded;
}
/** Load the persisted pinned statistics once; a failure is retried by the loader. */
void loadPinnedStatistics() {
ensurePinnedLoaded();
}
private void ensurePinnedLoaded() {
if (hboPinnedLoaded || !persistenceEnabled()) {
return;
}
synchronized (pinnedLoadLock) {
if (hboPinnedLoaded || !persistenceEnabled()) {
return;
}
long now = System.currentTimeMillis();
if (now - lastLoadFailedMs < LOAD_RETRY_INTERVAL_MS) {
return;
}
List<PinnedHboStatistics> loaded = HboStatisticsStore.loadAll();
if (loaded == null) {
lastLoadFailedMs = now;
return;
}
List<String> suppressedByTombstone = new ArrayList<>();
for (PinnedHboStatistics pinned : loaded) {
// entries injected while persistence was off, or concurrently with the load,
// must win over the stored snapshot, and entries deleted while the load was
// still pending must not be resurrected: the in-memory cache stays authoritative
if (pendingLoadTombstones.contains(pinned.getFingerprint())) {
suppressedByTombstone.add(pinned.getFingerprint());
} else {
pinnedPlanStatistics.asMap().putIfAbsent(pinned.getFingerprint(), pinned);
if (pinned.getType() != PinnedType.JOIN_EXPANSION) {
registerRelationKey(pinned.getStructCanonical());
}
}
}
hboPinnedLoaded = true;
if (!suppressedByTombstone.isEmpty()) {
// the load succeeded, so the internal table is reachable: retry the failed DB
// removals (idempotent) for exactly the rows that were seen in the loaded
// snapshot, so they do not reappear after this FE restarts. Rows another FE
// created after the snapshot are not touched; rows it created before the
// snapshot may be removed (see class javadoc)
int failed = 0;
for (String fingerprint : suppressedByTombstone) {
if (!HboStatisticsStore.delete(fingerprint)) {
failed++;
}
}
if (failed > 0) {
LOG.warn("failed to remove {} of {} tombstoned hbo pinned statistics rows; "
+ "the rows will reappear after the next FE restart", failed,
suppressedByTombstone.size());
}
}
int tombstonesNotSeen = pendingLoadTombstones.size() - suppressedByTombstone.size();
if (tombstonesNotSeen > 0) {
// mostly benign (the row is already gone), but under replica read lag the row may
// still be stored without this FE knowing; it then reappears after a FE restart
LOG.info("{} tombstoned hbo pinned statistics rows were not seen in the loaded "
+ "snapshot and may still be stored in the table; they may reappear after "
+ "the next FE restart", tombstonesNotSeen);
}
pendingLoadTombstones.clear();
LOG.info("loaded {} hbo pinned statistics entries from internal table", loaded.size());
}
}
private static boolean persistenceEnabled() {
return Config.hbo_persist_pinned_to_internal_db && FeConstants.enableInternalSchemaDb;
}
/**
* A manually injected hbo statistics entry.
*/
public static class PinnedHboStatistics {
private final String fingerprint;
private final long rows;
private final PinnedType type;
private final String structCanonical;
// fan-out factor of a PinnedType.JOIN_EXPANSION entry, 0 for a row count entry
private final double expansion;
private final long createTime;
// which struct info this entry is keyed by; decided at injection time and persisted
private final LiteralMode literalMode;
// when a query last applied this entry, and the data state it was applied in; diagnostics
// only (shown by HBO SHOW STATISTICS), so it is deliberately not persisted: it is not part
// of the entry, it only tells the user whether the entry is still in use
private volatile String lastUse = "";
PinnedHboStatistics(String fingerprint, long rows, PinnedType type, String structCanonical,
double expansion, LiteralMode literalMode, long createTime) {
this.fingerprint = fingerprint;
this.rows = rows;
this.type = type == null ? PinnedType.EXACT : type;
this.structCanonical = structCanonical == null ? "" : structCanonical;
this.expansion = expansion;
this.literalMode = literalMode == null ? LiteralMode.NO_LITERAL : literalMode;
this.createTime = createTime;
}
/** True when this entry carries a join fan-out factor instead of a row count. */
public boolean isExpansion() {
return type == PinnedType.JOIN_EXPANSION;
}
/**
* Remember that a query applied this entry, together with the data state the read side saw
* when it did (e.g. {@code drifted}, {@code live}). Unlike {@link #getCreateTime()} this is
* in-memory only: it describes the usage of this FE since it started.
*/
void recordUse(HboStructFreshness freshness) {
this.lastUse = TimeUtils.getDatetimeFormatWithTimeZone().format(LocalDateTime.now())
+ " " + freshness.getSummary();
}
/** When a query of this FE last applied this entry (empty when it was never applied here). */
public String getLastUse() {
return lastUse;
}
/** The join fan-out factor of an {@link PinnedType#JOIN_EXPANSION} entry. */
public double getExpansion() {
return expansion;
}
/** Which struct info this entry is keyed by. */
public LiteralMode getLiteralMode() {
return literalMode;
}
public PinnedType getType() {
return type;
}
public String getFingerprint() {
return fingerprint;
}
public long getRows() {
return rows;
}
public long getCreateTime() {
return createTime;
}
public String getStructCanonical() {
return structCanonical;
}
}
}