Examples with RelOptCluster org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster used on opensource projects

Example 66 with RelOptCluster

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster in project hive by apache.

the class HiveMaterializedViewsRegistry method createMaterializedViewScan.

private static RelNode createMaterializedViewScan(HiveConf conf, Table viewTable) {
    // 0. Recreate cluster
    final RelOptPlanner planner = CalcitePlanner.createPlanner(conf);
    final RexBuilder rexBuilder = new RexBuilder(new JavaTypeFactoryImpl(new HiveTypeSystemImpl()));
    final RelOptCluster cluster = RelOptCluster.create(planner, rexBuilder);
    // 1. Create column schema
    final RowResolver rr = new RowResolver();
    // 1.1 Add Column info for non partion cols (Object Inspector fields)
    StructObjectInspector rowObjectInspector;
    try {
        rowObjectInspector = (StructObjectInspector) viewTable.getDeserializer().getObjectInspector();
    } catch (SerDeException e) {
        // Bail out
        return null;
    }
    List<? extends StructField> fields = rowObjectInspector.getAllStructFieldRefs();
    ColumnInfo colInfo;
    String colName;
    ArrayList<ColumnInfo> cInfoLst = new ArrayList<>();
    for (StructField structField : fields) {
        colName = structField.getFieldName();
        colInfo = new ColumnInfo(structField.getFieldName(), TypeInfoUtils.getTypeInfoFromObjectInspector(structField.getFieldObjectInspector()), null, false);
        rr.put(null, colName, colInfo);
        cInfoLst.add(colInfo);
    }
    ArrayList<ColumnInfo> nonPartitionColumns = new ArrayList<ColumnInfo>(cInfoLst);
    // 1.2 Add column info corresponding to partition columns
    ArrayList<ColumnInfo> partitionColumns = new ArrayList<ColumnInfo>();
    for (FieldSchema part_col : viewTable.getPartCols()) {
        colName = part_col.getName();
        colInfo = new ColumnInfo(colName, TypeInfoFactory.getPrimitiveTypeInfo(part_col.getType()), null, true);
        rr.put(null, colName, colInfo);
        cInfoLst.add(colInfo);
        partitionColumns.add(colInfo);
    }
    // 1.3 Build row type from field <type, name>
    RelDataType rowType;
    try {
        rowType = TypeConverter.getType(cluster, rr, null);
    } catch (CalciteSemanticException e) {
        // Bail out
        return null;
    }
    // 2. Build RelOptAbstractTable
    List<String> fullyQualifiedTabName = new ArrayList<>();
    if (viewTable.getDbName() != null && !viewTable.getDbName().isEmpty()) {
        fullyQualifiedTabName.add(viewTable.getDbName());
    }
    fullyQualifiedTabName.add(viewTable.getTableName());
    RelNode tableRel;
    // 3. Build operator
    if (obtainTableType(viewTable) == TableType.DRUID) {
        // Build Druid query
        String address = HiveConf.getVar(conf, HiveConf.ConfVars.HIVE_DRUID_BROKER_DEFAULT_ADDRESS);
        String dataSource = viewTable.getParameters().get(Constants.DRUID_DATA_SOURCE);
        Set<String> metrics = new HashSet<>();
        List<RelDataType> druidColTypes = new ArrayList<>();
        List<String> druidColNames = new ArrayList<>();
        // @NOTE this code is very similar to the code at org/apache/hadoop/hive/ql/parse/CalcitePlanner.java:2362
        // @TODO it will be nice to refactor it
        RelDataTypeFactory dtFactory = cluster.getRexBuilder().getTypeFactory();
        for (RelDataTypeField field : rowType.getFieldList()) {
            if (DruidTable.DEFAULT_TIMESTAMP_COLUMN.equals(field.getName())) {
                // Druid's time column is always not null.
                druidColTypes.add(dtFactory.createTypeWithNullability(field.getType(), false));
            } else {
                druidColTypes.add(field.getType());
            }
            druidColNames.add(field.getName());
            if (field.getName().equals(DruidTable.DEFAULT_TIMESTAMP_COLUMN)) {
                // timestamp
                continue;
            }
            if (field.getType().getSqlTypeName() == SqlTypeName.VARCHAR) {
                // dimension
                continue;
            }
            metrics.add(field.getName());
        }
        List<Interval> intervals = Collections.singletonList(DruidTable.DEFAULT_INTERVAL);
        rowType = dtFactory.createStructType(druidColTypes, druidColNames);
        // We can pass null for Hive object because it is only used to retrieve tables
        // if constraints on a table object are existing, but constraints cannot be defined
        // for materialized views.
        RelOptHiveTable optTable = new RelOptHiveTable(null, cluster.getTypeFactory(), fullyQualifiedTabName, rowType, viewTable, nonPartitionColumns, partitionColumns, new ArrayList<>(), conf, null, new QueryTables(true), new HashMap<>(), new HashMap<>(), new AtomicInteger());
        DruidTable druidTable = new DruidTable(new DruidSchema(address, address, false), dataSource, RelDataTypeImpl.proto(rowType), metrics, DruidTable.DEFAULT_TIMESTAMP_COLUMN, intervals, null, null);
        final TableScan scan = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
        tableRel = DruidQuery.create(cluster, cluster.traitSetOf(BindableConvention.INSTANCE), optTable, druidTable, ImmutableList.<RelNode>of(scan), ImmutableMap.of());
    } else {
        // Build Hive Table Scan Rel.
        // We can pass null for Hive object because it is only used to retrieve tables
        // if constraints on a table object are existing, but constraints cannot be defined
        // for materialized views.
        RelOptHiveTable optTable = new RelOptHiveTable(null, cluster.getTypeFactory(), fullyQualifiedTabName, rowType, viewTable, nonPartitionColumns, partitionColumns, new ArrayList<>(), conf, null, new QueryTables(true), new HashMap<>(), new HashMap<>(), new AtomicInteger());
        tableRel = new HiveTableScan(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), optTable, viewTable.getTableName(), null, false, false);
    }
    return tableRel;
}

Example 67 with RelOptCluster

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster in project hive by apache.

the class HiveRelOptUtil method splitJoinCondition.

private static void splitJoinCondition(List<RelDataTypeField> sysFieldList, List<RelNode> inputs, RexNode condition, List<List<RexNode>> joinKeys, List<Integer> filterNulls, List<SqlOperator> rangeOp, List<RexNode> nonEquiList) throws CalciteSemanticException {
    final int sysFieldCount = sysFieldList.size();
    final RelOptCluster cluster = inputs.get(0).getCluster();
    final RexBuilder rexBuilder = cluster.getRexBuilder();
    if (condition instanceof RexCall) {
        RexCall call = (RexCall) condition;
        if (call.getOperator() == SqlStdOperatorTable.AND) {
            for (RexNode operand : call.getOperands()) {
                splitJoinCondition(sysFieldList, inputs, operand, joinKeys, filterNulls, rangeOp, nonEquiList);
            }
            return;
        }
        RexNode leftKey = null;
        RexNode rightKey = null;
        int leftInput = 0;
        int rightInput = 0;
        List<RelDataTypeField> leftFields = null;
        List<RelDataTypeField> rightFields = null;
        boolean reverse = false;
        SqlKind kind = call.getKind();
        // Only consider range operators if we haven't already seen one
        if ((kind == SqlKind.EQUALS) || (filterNulls != null && kind == SqlKind.IS_NOT_DISTINCT_FROM) || (rangeOp != null && rangeOp.isEmpty() && (kind == SqlKind.GREATER_THAN || kind == SqlKind.GREATER_THAN_OR_EQUAL || kind == SqlKind.LESS_THAN || kind == SqlKind.LESS_THAN_OR_EQUAL))) {
            final List<RexNode> operands = call.getOperands();
            RexNode op0 = operands.get(0);
            RexNode op1 = operands.get(1);
            final ImmutableBitSet projRefs0 = InputFinder.bits(op0);
            final ImmutableBitSet projRefs1 = InputFinder.bits(op1);
            final ImmutableBitSet[] inputsRange = new ImmutableBitSet[inputs.size()];
            int totalFieldCount = 0;
            for (int i = 0; i < inputs.size(); i++) {
                final int firstField = totalFieldCount + sysFieldCount;
                totalFieldCount = firstField + inputs.get(i).getRowType().getFieldCount();
                inputsRange[i] = ImmutableBitSet.range(firstField, totalFieldCount);
            }
            boolean foundBothInputs = false;
            for (int i = 0; i < inputs.size() && !foundBothInputs; i++) {
                if (projRefs0.intersects(inputsRange[i]) && projRefs0.union(inputsRange[i]).equals(inputsRange[i])) {
                    if (leftKey == null) {
                        leftKey = op0;
                        leftInput = i;
                        leftFields = inputs.get(leftInput).getRowType().getFieldList();
                    } else {
                        rightKey = op0;
                        rightInput = i;
                        rightFields = inputs.get(rightInput).getRowType().getFieldList();
                        reverse = true;
                        foundBothInputs = true;
                    }
                } else if (projRefs1.intersects(inputsRange[i]) && projRefs1.union(inputsRange[i]).equals(inputsRange[i])) {
                    if (leftKey == null) {
                        leftKey = op1;
                        leftInput = i;
                        leftFields = inputs.get(leftInput).getRowType().getFieldList();
                    } else {
                        rightKey = op1;
                        rightInput = i;
                        rightFields = inputs.get(rightInput).getRowType().getFieldList();
                        foundBothInputs = true;
                    }
                }
            }
            if ((leftKey != null) && (rightKey != null)) {
                // adjustment array
                int[] adjustments = new int[totalFieldCount];
                for (int i = 0; i < inputs.size(); i++) {
                    final int adjustment = inputsRange[i].nextSetBit(0);
                    for (int j = adjustment; j < inputsRange[i].length(); j++) {
                        adjustments[j] = -adjustment;
                    }
                }
                // replace right Key input ref
                rightKey = rightKey.accept(new RelOptUtil.RexInputConverter(rexBuilder, rightFields, rightFields, adjustments));
                // left key only needs to be adjusted if there are system
                // fields, but do it for uniformity
                leftKey = leftKey.accept(new RelOptUtil.RexInputConverter(rexBuilder, leftFields, leftFields, adjustments));
                RelDataType leftKeyType = leftKey.getType();
                RelDataType rightKeyType = rightKey.getType();
                if (leftKeyType != rightKeyType) {
                    // perform casting using Hive rules
                    TypeInfo rType = TypeConverter.convert(rightKeyType);
                    TypeInfo lType = TypeConverter.convert(leftKeyType);
                    TypeInfo tgtType = FunctionRegistry.getCommonClassForComparison(lType, rType);
                    if (tgtType == null) {
                        throw new CalciteSemanticException("Cannot find common type for join keys " + leftKey + " (type " + leftKeyType + ") and " + rightKey + " (type " + rightKeyType + ")");
                    }
                    RelDataType targetKeyType = TypeConverter.convert(tgtType, rexBuilder.getTypeFactory());
                    if (leftKeyType != targetKeyType && TypeInfoUtils.isConversionRequiredForComparison(tgtType, lType)) {
                        leftKey = rexBuilder.makeCast(targetKeyType, leftKey);
                    }
                    if (rightKeyType != targetKeyType && TypeInfoUtils.isConversionRequiredForComparison(tgtType, rType)) {
                        rightKey = rexBuilder.makeCast(targetKeyType, rightKey);
                    }
                }
            }
        }
        if ((leftKey != null) && (rightKey != null)) {
            // found suitable join keys
            // add them to key list, ensuring that if there is a
            // non-equi join predicate, it appears at the end of the
            // key list; also mark the null filtering property
            addJoinKey(joinKeys.get(leftInput), leftKey, (rangeOp != null) && !rangeOp.isEmpty());
            addJoinKey(joinKeys.get(rightInput), rightKey, (rangeOp != null) && !rangeOp.isEmpty());
            if (filterNulls != null && kind == SqlKind.EQUALS) {
                // nulls are considered not matching for equality comparison
                // add the position of the most recently inserted key
                filterNulls.add(joinKeys.get(leftInput).size() - 1);
            }
            if (rangeOp != null && kind != SqlKind.EQUALS && kind != SqlKind.IS_DISTINCT_FROM) {
                if (reverse) {
                    kind = reverse(kind);
                }
                rangeOp.add(op(kind, call.getOperator()));
            }
            return;
        }
    // else fall through and add this condition as nonEqui condition
    }
    // The operator is not of RexCall type
    // So we fail. Fall through.
    // Add this condition to the list of non-equi-join conditions.
    nonEquiList.add(condition);
}

Example 68 with RelOptCluster

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster in project hive by apache.

the class HiveSortExchange method create.

public static HiveSortExchange create(RelNode input, RelDistribution distribution, RelCollation collation) {
    RelOptCluster cluster = input.getCluster();
    distribution = RelDistributionTraitDef.INSTANCE.canonize(distribution);
    collation = RelCollationTraitDef.INSTANCE.canonize(collation);
    RelTraitSet traitSet = getTraitSet(cluster, collation, distribution);
    RelCollation canonizedCollation = traitSet.canonize(RelCollationImpl.of(collation.getFieldCollations()));
    ImmutableList.Builder<RexNode> builder = ImmutableList.builder();
    for (RelFieldCollation relFieldCollation : canonizedCollation.getFieldCollations()) {
        int index = relFieldCollation.getFieldIndex();
        builder.add(cluster.getRexBuilder().makeInputRef(input, index));
    }
    return new HiveSortExchange(cluster, traitSet, input, distribution, collation, builder.build());
}

Example 69 with RelOptCluster

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster in project hive by apache.

the class TestCBORuleFiredOnlyOnce method testRuleFiredOnlyOnce.

@Test
public void testRuleFiredOnlyOnce() {
    HiveConf conf = new HiveConf();
    // Create HepPlanner
    HepProgramBuilder programBuilder = new HepProgramBuilder();
    programBuilder.addMatchOrder(HepMatchOrder.TOP_DOWN);
    programBuilder = programBuilder.addRuleCollection(ImmutableList.<RelOptRule>of(DummyRule.INSTANCE));
    // Create rules registry to not trigger a rule more than once
    HiveRulesRegistry registry = new HiveRulesRegistry();
    HivePlannerContext context = new HivePlannerContext(null, registry, null, null, null, null);
    HepPlanner planner = new HepPlanner(programBuilder.build(), context);
    // Cluster
    RexBuilder rexBuilder = new RexBuilder(new JavaTypeFactoryImpl());
    RelOptCluster cluster = RelOptCluster.create(planner, rexBuilder);
    // Create MD provider
    HiveDefaultRelMetadataProvider mdProvider = new HiveDefaultRelMetadataProvider(conf, null);
    List<RelMetadataProvider> list = Lists.newArrayList();
    list.add(mdProvider.getMetadataProvider());
    planner.registerMetadataProviders(list);
    RelMetadataProvider chainedProvider = ChainedRelMetadataProvider.of(list);
    final RelNode node = new DummyNode(cluster, cluster.traitSet());
    node.getCluster().setMetadataProvider(new CachingRelMetadataProvider(chainedProvider, planner));
    planner.setRoot(node);
    planner.findBestExp();
    // Matches 2 times: one time the original node, one time the new node created by the rule
    assertEquals(2, DummyRule.INSTANCE.numberMatches);
    // It is fired only once: on the original node
    assertEquals(1, DummyRule.INSTANCE.numberOnMatch);
}

Example 70 with RelOptCluster

use of org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.plan.RelOptCluster in project hive by apache.

the class TestHiveReduceExpressionsWithStatsRule method before.

@Before
public void before() {
    HepProgramBuilder programBuilder = new HepProgramBuilder();
    programBuilder.addRuleInstance(HiveReduceExpressionsWithStatsRule.INSTANCE);
    planner = new HepPlanner(programBuilder.build());
    JavaTypeFactoryImpl typeFactory = new JavaTypeFactoryImpl();
    RexBuilder rexBuilder = new RexBuilder(typeFactory);
    final RelOptCluster optCluster = RelOptCluster.create(planner, rexBuilder);
    RelDataType rowTypeMock = typeFactory.createStructType(MyRecord.class);
    Mockito.doReturn(rowTypeMock).when(tableMock).getRowType();
    LogicalTableScan tableScan = LogicalTableScan.create(optCluster, tableMock, Collections.emptyList());
    doReturn(tableScan).when(tableMock).toRel(ArgumentMatchers.any());
    Mockito.doReturn(tableMock).when(schemaMock).getTableForMember(Matchers.any());
    statObj = new ColStatistics("_int", "int");
    Mockito.doReturn(Lists.newArrayList(statObj)).when(tableMock).getColStat(Matchers.anyListOf(Integer.class), Matchers.eq(false));
    Mockito.doReturn(hiveTableMDMock).when(tableMock).getHiveTableMD();
    Mockito.doReturn(tableParams).when(hiveTableMDMock).getParameters();
    builder = HiveRelFactories.HIVE_BUILDER.create(optCluster, schemaMock);
    StatsSetupConst.setStatsStateForCreateTable(tableParams, Lists.newArrayList("_int"), StatsSetupConst.TRUE);
    tableParams.put(StatsSetupConst.ROW_COUNT, "3");
}