use of org.apache.drill.exec.planner.index.MapRDBStatisticsPayload in project drill by apache.
the class JsonTableGroupScan method getFirstKeyEstimatedStatsInternal.
/**
* Get the estimated statistics after applying the {@link QueryCondition} condition
* @param condition filter to apply
* @param index to use for generating the estimate
* @param scanRel the current scan rel
* @return {@link MapRDBStatisticsPayload} statistics
*/
private MapRDBStatisticsPayload getFirstKeyEstimatedStatsInternal(QueryCondition condition, IndexDesc index, RelNode scanRel) {
// If no index is specified, get it from the primary table
if (index == null && scanSpec.isSecondaryIndex()) {
// table = MapRDB.getTable(scanSpec.getPrimaryTablePath());
throw new UnsupportedOperationException("getFirstKeyEstimatedStats should be invoked on primary table");
}
// Get the index table or primary table and use the DB API to get the estimated number of rows. For size estimates,
// we assume that all the columns would be read from the disk.
final Table table = this.formatPlugin.getJsonTableCache().getTable(scanSpec.getTableName(), index, getUserName());
if (table != null) {
// Factor reflecting confidence in the DB estimates. If a table has few tablets, the tablet-level stats
// might be off. The decay scalingFactor will reduce estimates when one tablet represents a significant percentage
// of the entire table.
double scalingFactor = 1.0;
boolean isFullScan = false;
final MetaTable metaTable = table.getMetaTable();
com.mapr.db.scan.ScanStats stats = (condition == null) ? metaTable.getScanStats() : metaTable.getScanStats(condition);
if (index == null && condition != null) {
// Given table condition might not be on leading column. Check if the rowcount matches full table rows.
// In that case no leading key present or does not prune enough. Treat it like so.
com.mapr.db.scan.ScanStats noConditionPTabStats = metaTable.getScanStats();
if (stats.getEstimatedNumRows() == noConditionPTabStats.getEstimatedNumRows()) {
isFullScan = true;
}
}
// should be selected. So the scalingFactor should not reduce the returned rows
if (condition != null && !isFullScan) {
double forcedScalingFactor = PrelUtil.getSettings(scanRel.getCluster()).getIndexStatsRowCountScalingFactor();
// For 2 or less matching tablets, the error is assumed to be 50%. The Sqrt gives the decaying scalingFactor
if (stats.getTabletCount() > 2) {
double accuracy = 1.0 - (2.0 / stats.getTabletCount());
scalingFactor = Math.min(1.0, 1.0 / Math.sqrt(1.0 / accuracy));
} else {
scalingFactor = 0.5;
}
if (forcedScalingFactor < 1.0 && metaTable.getScanStats().getTabletCount() < PluginConstants.JSON_TABLE_NUM_TABLETS_PER_INDEX_DEFAULT) {
// User forced confidence scalingFactor for small tables (assumed as less than 32 tablets (~512 MB))
scalingFactor = forcedScalingFactor;
}
}
logger.info("index_plan_info: getEstimatedRowCount obtained from DB Client for {}: indexName: {}, indexInfo: {}, " + "condition: {} rowCount: {}, avgRowSize: {}, estimatedSize {}, tabletCount {}, totalTabletCount {}, " + "scalingFactor {}", this, (index == null ? "null" : index.getIndexName()), (index == null ? "null" : index.getIndexInfo()), (condition == null ? "null" : condition.toString()), stats.getEstimatedNumRows(), (stats.getEstimatedNumRows() == 0 ? 0 : stats.getEstimatedSize() / stats.getEstimatedNumRows()), stats.getEstimatedSize(), stats.getTabletCount(), metaTable.getScanStats().getTabletCount(), scalingFactor);
return new MapRDBStatisticsPayload(scalingFactor * stats.getEstimatedNumRows(), scalingFactor * stats.getEstimatedNumRows(), ((stats.getEstimatedNumRows() == 0 ? 0 : (double) stats.getEstimatedSize() / stats.getEstimatedNumRows())));
} else {
logger.info("index_plan_info: getEstimatedRowCount: {} indexName: {}, indexInfo: {}, " + "condition: {} rowCount: UNKNOWN, avgRowSize: UNKNOWN", this, (index == null ? "null" : index.getIndexName()), (index == null ? "null" : index.getIndexInfo()), (condition == null ? "null" : condition.toString()));
return new MapRDBStatisticsPayload(ROWCOUNT_UNKNOWN, ROWCOUNT_UNKNOWN, AVG_ROWSIZE_UNKNOWN);
}
}
use of org.apache.drill.exec.planner.index.MapRDBStatisticsPayload in project drill by apache.
the class JsonTableGroupScan method getAverageRowSizeStats.
/**
* Get the estimated average rowsize. DO NOT call this API directly.
* Call the stats API instead which modifies the counts based on preference options.
* @param index to use for generating the estimate
* @return row count post filtering
*/
public MapRDBStatisticsPayload getAverageRowSizeStats(IndexDescriptor index) {
IndexDesc indexDesc = null;
double avgRowSize = AVG_ROWSIZE_UNKNOWN;
if (index != null) {
indexDesc = (IndexDesc) ((MapRDBIndexDescriptor) index).getOriginalDesc();
}
// If no index is specified, get it from the primary table
if (indexDesc == null && scanSpec.isSecondaryIndex()) {
throw new UnsupportedOperationException("getAverageRowSizeStats should be invoked on primary table");
}
// Get the index table or primary table and use the DB API to get the estimated number of rows. For size estimates,
// we assume that all the columns would be read from the disk.
final Table table = this.formatPlugin.getJsonTableCache().getTable(scanSpec.getTableName(), indexDesc, getUserName());
if (table != null) {
final MetaTable metaTable = table.getMetaTable();
if (metaTable != null) {
avgRowSize = metaTable.getAverageRowSize();
}
}
logger.debug("index_plan_info: getEstimatedRowCount obtained from DB Client for {}: indexName: {}, indexInfo: {}, " + "avgRowSize: {}, estimatedSize {}", this, (indexDesc == null ? "null" : indexDesc.getIndexName()), (indexDesc == null ? "null" : indexDesc.getIndexInfo()), avgRowSize, fullTableEstimatedSize);
return new MapRDBStatisticsPayload(ROWCOUNT_UNKNOWN, ROWCOUNT_UNKNOWN, avgRowSize);
}
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