Examples with DrillAnalyzeRel org.apache.drill.exec.planner.logical.DrillAnalyzeRel used on opensource projects

Example 1 with DrillAnalyzeRel

use of org.apache.drill.exec.planner.logical.DrillAnalyzeRel in project drill by apache.

the class MetastoreAnalyzeTableHandler method convertToDrel.

/**
 * Converts to Drill logical plan
 */
private DrillRel convertToDrel(RelNode relNode, SqlMetastoreAnalyzeTable sqlAnalyzeTable, DrillTableInfo drillTableInfo) throws ForemanSetupException, IOException {
    RelBuilder relBuilder = LOGICAL_BUILDER.create(relNode.getCluster(), null);
    DrillTable table = drillTableInfo.drillTable();
    AnalyzeInfoProvider analyzeInfoProvider = table.getGroupScan().getAnalyzeInfoProvider();
    List<String> schemaPath = drillTableInfo.schemaPath();
    String pluginName = schemaPath.get(0);
    String workspaceName = Strings.join(schemaPath.subList(1, schemaPath.size()), AbstractSchema.SCHEMA_SEPARATOR);
    String tableName = drillTableInfo.tableName();
    TableInfo tableInfo = TableInfo.builder().name(tableName).owner(table.getUserName()).type(analyzeInfoProvider.getTableTypeName()).storagePlugin(pluginName).workspace(workspaceName).build();
    ColumnNamesOptions columnNamesOptions = new ColumnNamesOptions(context.getOptions());
    List<String> segmentColumns = analyzeInfoProvider.getSegmentColumns(table, columnNamesOptions).stream().map(SchemaPath::getRootSegmentPath).collect(Collectors.toList());
    List<NamedExpression> segmentExpressions = segmentColumns.stream().map(partitionName -> new NamedExpression(SchemaPath.getSimplePath(partitionName), FieldReference.getWithQuotedRef(partitionName))).collect(Collectors.toList());
    List<MetadataInfo> rowGroupsInfo = Collections.emptyList();
    List<MetadataInfo> filesInfo = Collections.emptyList();
    Multimap<Integer, MetadataInfo> segments = ArrayListMultimap.create();
    BasicTablesRequests basicRequests;
    try {
        basicRequests = context.getMetastoreRegistry().get().tables().basicRequests();
    } catch (MetastoreException e) {
        logger.error("Error when obtaining Metastore instance for table {}", tableName, e);
        DrillRel convertedRelNode = convertToRawDrel(relBuilder.values(new String[] { MetastoreAnalyzeConstants.OK_FIELD_NAME, MetastoreAnalyzeConstants.SUMMARY_FIELD_NAME }, false, e.getMessage()).build());
        return new DrillScreenRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertedRelNode);
    }
    MetadataType metadataLevel = getMetadataType(sqlAnalyzeTable);
    List<SchemaPath> interestingColumns = sqlAnalyzeTable.getFieldNames();
    MetastoreTableInfo metastoreTableInfo = basicRequests.metastoreTableInfo(tableInfo);
    List<MetadataInfo> allMetaToHandle = null;
    List<MetadataInfo> metadataToRemove = new ArrayList<>();
    // whether incremental analyze may be produced
    if (metastoreTableInfo.isExists()) {
        RelNode finalRelNode = relNode;
        CheckedSupplier<TableScan, SqlUnsupportedException> tableScanSupplier = () -> DrillRelOptUtil.findScan(convertToDrel(finalRelNode.getInput(0)));
        MetadataInfoCollector metadataInfoCollector = analyzeInfoProvider.getMetadataInfoCollector(basicRequests, tableInfo, (FormatSelection) table.getSelection(), context.getPlannerSettings(), tableScanSupplier, interestingColumns, metadataLevel, segmentColumns.size());
        if (!metadataInfoCollector.isOutdated()) {
            DrillRel convertedRelNode = convertToRawDrel(relBuilder.values(new String[] { MetastoreAnalyzeConstants.OK_FIELD_NAME, MetastoreAnalyzeConstants.SUMMARY_FIELD_NAME }, false, "Table metadata is up to date, analyze wasn't performed.").build());
            return new DrillScreenRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertedRelNode);
        }
        // updates scan to read updated / new files, pass removed files into metadata handler
        relNode = relNode.copy(relNode.getTraitSet(), Collections.singletonList(metadataInfoCollector.getPrunedScan()));
        filesInfo = metadataInfoCollector.getFilesInfo();
        segments = metadataInfoCollector.getSegmentsInfo();
        rowGroupsInfo = metadataInfoCollector.getRowGroupsInfo();
        allMetaToHandle = metadataInfoCollector.getAllMetaToHandle();
        metadataToRemove = metadataInfoCollector.getMetadataToRemove();
    }
    // Step 2: constructs plan for producing analyze
    DrillRel convertedRelNode = convertToRawDrel(relNode);
    boolean createNewAggregations = true;
    // List of columns for which statistics should be collected: interesting columns + segment columns
    List<SchemaPath> statisticsColumns = interestingColumns == null ? null : new ArrayList<>(interestingColumns);
    if (statisticsColumns != null) {
        segmentColumns.stream().map(SchemaPath::getSimplePath).forEach(statisticsColumns::add);
    }
    SchemaPath locationField = analyzeInfoProvider.getLocationField(columnNamesOptions);
    if (analyzeInfoProvider.supportsMetadataType(MetadataType.ROW_GROUP) && metadataLevel.includes(MetadataType.ROW_GROUP)) {
        MetadataHandlerContext handlerContext = MetadataHandlerContext.builder().tableInfo(tableInfo).metadataToHandle(rowGroupsInfo).metadataType(MetadataType.ROW_GROUP).depthLevel(segmentExpressions.size()).segmentColumns(segmentColumns).build();
        convertedRelNode = getRowGroupAggRelNode(segmentExpressions, convertedRelNode, createNewAggregations, statisticsColumns, handlerContext);
        createNewAggregations = false;
        locationField = SchemaPath.getSimplePath(MetastoreAnalyzeConstants.LOCATION_FIELD);
    }
    if (analyzeInfoProvider.supportsMetadataType(MetadataType.FILE) && metadataLevel.includes(MetadataType.FILE)) {
        MetadataHandlerContext handlerContext = MetadataHandlerContext.builder().tableInfo(tableInfo).metadataToHandle(filesInfo).metadataType(MetadataType.FILE).depthLevel(segmentExpressions.size()).segmentColumns(segmentColumns).build();
        convertedRelNode = getFileAggRelNode(segmentExpressions, convertedRelNode, createNewAggregations, statisticsColumns, locationField, handlerContext);
        locationField = SchemaPath.getSimplePath(MetastoreAnalyzeConstants.LOCATION_FIELD);
        createNewAggregations = false;
    }
    if (analyzeInfoProvider.supportsMetadataType(MetadataType.SEGMENT) && metadataLevel.includes(MetadataType.SEGMENT)) {
        for (int i = segmentExpressions.size(); i > 0; i--) {
            MetadataHandlerContext handlerContext = MetadataHandlerContext.builder().tableInfo(tableInfo).metadataToHandle(new ArrayList<>(segments.get(i - 1))).metadataType(MetadataType.SEGMENT).depthLevel(i).segmentColumns(segmentColumns.subList(0, i)).build();
            convertedRelNode = getSegmentAggRelNode(segmentExpressions, convertedRelNode, createNewAggregations, statisticsColumns, locationField, i, handlerContext);
            locationField = SchemaPath.getSimplePath(MetastoreAnalyzeConstants.LOCATION_FIELD);
            createNewAggregations = false;
        }
    }
    if (analyzeInfoProvider.supportsMetadataType(MetadataType.TABLE) && metadataLevel.includes(MetadataType.TABLE)) {
        MetadataHandlerContext handlerContext = MetadataHandlerContext.builder().tableInfo(tableInfo).metadataToHandle(Collections.emptyList()).metadataType(MetadataType.TABLE).depthLevel(segmentExpressions.size()).segmentColumns(segmentColumns).build();
        convertedRelNode = getTableAggRelNode(convertedRelNode, createNewAggregations, statisticsColumns, locationField, handlerContext);
    } else {
        throw new IllegalStateException("Analyze table with NONE level");
    }
    boolean useStatistics = context.getOptions().getOption(PlannerSettings.STATISTICS_USE);
    SqlNumericLiteral samplePercentLiteral = sqlAnalyzeTable.getSamplePercent();
    double samplePercent = samplePercentLiteral == null ? 100.0 : samplePercentLiteral.intValue(true);
    // Step 3: adds rel nodes for producing statistics analyze if required
    RelNode analyzeRel = useStatistics ? new DrillAnalyzeRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertToRawDrel(relNode), samplePercent) : convertToRawDrel(relBuilder.values(new String[] { "" }, "").build());
    MetadataControllerContext metadataControllerContext = MetadataControllerContext.builder().tableInfo(tableInfo).metastoreTableInfo(metastoreTableInfo).location(((FormatSelection) table.getSelection()).getSelection().getSelectionRoot()).interestingColumns(interestingColumns).segmentColumns(segmentColumns).metadataToHandle(allMetaToHandle).metadataToRemove(metadataToRemove).analyzeMetadataLevel(metadataLevel).build();
    convertedRelNode = new MetadataControllerRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertedRelNode, analyzeRel, metadataControllerContext);
    return new DrillScreenRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertedRelNode);
}

Example 2 with DrillAnalyzeRel

use of org.apache.drill.exec.planner.logical.DrillAnalyzeRel in project drill by apache.

the class AnalyzeTableHandler method convertToDrel.

/* Converts to Drill logical plan */
protected DrillRel convertToDrel(RelNode relNode, AbstractSchema schema, String analyzeTableName, double samplePercent) throws SqlUnsupportedException {
    DrillRel convertedRelNode = convertToRawDrel(relNode);
    final RelNode analyzeRel = new DrillAnalyzeRel(convertedRelNode.getCluster(), convertedRelNode.getTraitSet(), convertedRelNode, samplePercent);
    final RelNode writerRel = new DrillWriterRel(analyzeRel.getCluster(), analyzeRel.getTraitSet(), analyzeRel, schema.appendToStatsTable(analyzeTableName));
    return new DrillScreenRel(writerRel.getCluster(), writerRel.getTraitSet(), writerRel);
}

Example 3 with DrillAnalyzeRel

use of org.apache.drill.exec.planner.logical.DrillAnalyzeRel in project drill by apache.

the class AnalyzePrule method onMatch.

@Override
public void onMatch(RelOptRuleCall call) {
    final DrillAnalyzeRel analyze = call.rel(0);
    final RelNode input = call.rel(1);
    final SingleRel newAnalyze;
    final RelTraitSet singleDistTrait = call.getPlanner().emptyTraitSet().plus(Prel.DRILL_PHYSICAL).plus(DrillDistributionTrait.SINGLETON);
    // Generate parallel ANALYZE plan:
    // Writer<-Unpivot<-StatsAgg(Phase2)<-Exchange<-StatsAgg(Phase1)<-Scan
    final RelTraitSet traits = input.getTraitSet().plus(Prel.DRILL_PHYSICAL).plus(DrillDistributionTrait.DEFAULT);
    RelNode convertedInput = convert(input, traits);
    final List<String> mapFields1 = Lists.newArrayList(PHASE_1_FUNCTIONS);
    final Map<String, String> mapFields2 = Maps.newHashMap(PHASE_2_FUNCTIONS);
    final List<String> mapFields3 = Lists.newArrayList(UNPIVOT_FUNCTIONS);
    mapFields1.add(0, Statistic.COLNAME);
    mapFields1.add(1, Statistic.COLTYPE);
    mapFields2.put(Statistic.COLNAME, Statistic.COLNAME);
    mapFields2.put(Statistic.COLTYPE, Statistic.COLTYPE);
    mapFields3.add(0, Statistic.COLNAME);
    mapFields3.add(1, Statistic.COLTYPE);
    // STATSAGG->EXCHANGE->STATSMERGE->UNPIVOT
    if (analyze.getSamplePercent() < 100.0) {
        // If a sample samplePercent is specified add a filter for Bernoulli sampling
        RexBuilder builder = convertedInput.getCluster().getRexBuilder();
        RexNode sampleCondition;
        if (PrelUtil.getSettings(convertedInput.getCluster()).getOptions().getOption(ExecConstants.DETERMINISTIC_SAMPLING_VALIDATOR)) {
            sampleCondition = builder.makeCall(SqlStdOperatorTable.LESS_THAN_OR_EQUAL, builder.makeCall(SqlStdOperatorTable.RAND, builder.makeExactLiteral(BigDecimal.valueOf(1))), builder.makeExactLiteral(BigDecimal.valueOf(analyze.getSamplePercent() / 100.0)));
        } else {
            sampleCondition = builder.makeCall(SqlStdOperatorTable.LESS_THAN_OR_EQUAL, builder.makeCall(SqlStdOperatorTable.RAND), builder.makeExactLiteral(BigDecimal.valueOf(analyze.getSamplePercent() / 100.0)));
        }
        convertedInput = new FilterPrel(convertedInput.getCluster(), convertedInput.getTraitSet(), convertedInput, sampleCondition);
    }
    final StatsAggPrel statsAggPrel = new StatsAggPrel(analyze.getCluster(), traits, convertedInput, PHASE_1_FUNCTIONS);
    UnionExchangePrel exch = new UnionExchangePrel(statsAggPrel.getCluster(), singleDistTrait, statsAggPrel);
    final StatsMergePrel statsMergePrel = new StatsMergePrel(exch.getCluster(), singleDistTrait, exch, mapFields2, analyze.getSamplePercent());
    newAnalyze = new UnpivotMapsPrel(statsMergePrel.getCluster(), singleDistTrait, statsMergePrel, mapFields3);
    call.transformTo(newAnalyze);
}