Examples with BIGINT io.trino.spi.type.BigintType.BIGINT used on opensource projects

Example 1 with BIGINT

use of io.trino.spi.type.BigintType.BIGINT in project trino by trinodb.

the class DecorrelateInnerUnnestWithGlobalAggregation method apply.

@Override
public Result apply(CorrelatedJoinNode correlatedJoinNode, Captures captures, Context context) {
    // find global aggregation in subquery
    List<PlanNode> globalAggregations = PlanNodeSearcher.searchFrom(correlatedJoinNode.getSubquery(), context.getLookup()).where(DecorrelateInnerUnnestWithGlobalAggregation::isGlobalAggregation).recurseOnlyWhen(node -> node instanceof ProjectNode || isGlobalAggregation(node)).findAll();
    if (globalAggregations.isEmpty()) {
        return Result.empty();
    }
    // if there are multiple global aggregations, the one that is closest to the source is the "reducing" aggregation, because it reduces multiple input rows to single output row
    AggregationNode reducingAggregation = (AggregationNode) globalAggregations.get(globalAggregations.size() - 1);
    // find unnest in subquery
    Optional<UnnestNode> subqueryUnnest = PlanNodeSearcher.searchFrom(reducingAggregation.getSource(), context.getLookup()).where(node -> isSupportedUnnest(node, correlatedJoinNode.getCorrelation(), context.getLookup())).recurseOnlyWhen(node -> node instanceof ProjectNode || isGroupedAggregation(node)).findFirst();
    if (subqueryUnnest.isEmpty()) {
        return Result.empty();
    }
    UnnestNode unnestNode = subqueryUnnest.get();
    // assign unique id to input rows to restore semantics of aggregations after rewrite
    PlanNode input = new AssignUniqueId(context.getIdAllocator().getNextId(), correlatedJoinNode.getInput(), context.getSymbolAllocator().newSymbol("unique", BIGINT));
    // pre-project unnest symbols if they were pre-projected in subquery
    // The correlated UnnestNode either unnests correlation symbols directly, or unnests symbols produced by a projection that uses only correlation symbols.
    // Here, any underlying projection that was a source of the correlated UnnestNode, is appended as a source of the rewritten UnnestNode.
    // If the projection is not necessary for UnnestNode (i.e. it does not produce any unnest symbols), it should be pruned afterwards.
    PlanNode unnestSource = context.getLookup().resolve(unnestNode.getSource());
    if (unnestSource instanceof ProjectNode) {
        ProjectNode sourceProjection = (ProjectNode) unnestSource;
        input = new ProjectNode(sourceProjection.getId(), input, Assignments.builder().putIdentities(input.getOutputSymbols()).putAll(sourceProjection.getAssignments()).build());
    }
    // rewrite correlated join to UnnestNode
    Symbol ordinalitySymbol = unnestNode.getOrdinalitySymbol().orElseGet(() -> context.getSymbolAllocator().newSymbol("ordinality", BIGINT));
    UnnestNode rewrittenUnnest = new UnnestNode(context.getIdAllocator().getNextId(), input, input.getOutputSymbols(), unnestNode.getMappings(), Optional.of(ordinalitySymbol), LEFT, Optional.empty());
    // append mask symbol based on ordinality to distinguish between the unnested rows and synthetic null rows
    Symbol mask = context.getSymbolAllocator().newSymbol("mask", BOOLEAN);
    ProjectNode sourceWithMask = new ProjectNode(context.getIdAllocator().getNextId(), rewrittenUnnest, Assignments.builder().putIdentities(rewrittenUnnest.getOutputSymbols()).put(mask, new IsNotNullPredicate(ordinalitySymbol.toSymbolReference())).build());
    // restore all projections, grouped aggregations and global aggregations from the subquery
    PlanNode result = rewriteNodeSequence(context.getLookup().resolve(correlatedJoinNode.getSubquery()), input.getOutputSymbols(), mask, sourceWithMask, reducingAggregation.getId(), unnestNode.getId(), context.getSymbolAllocator(), context.getIdAllocator(), context.getLookup());
    // restrict outputs
    return Result.ofPlanNode(restrictOutputs(context.getIdAllocator(), result, ImmutableSet.copyOf(correlatedJoinNode.getOutputSymbols())).orElse(result));
}

Example 2 with BIGINT

use of io.trino.spi.type.BigintType.BIGINT in project trino by trinodb.

the class OrcPageSourceFactory method createOrcPageSource.

private ConnectorPageSource createOrcPageSource(HdfsEnvironment hdfsEnvironment, ConnectorIdentity identity, Configuration configuration, Path path, long start, long length, long estimatedFileSize, List<HiveColumnHandle> columns, List<HiveColumnHandle> projections, boolean useOrcColumnNames, boolean isFullAcid, TupleDomain<HiveColumnHandle> effectivePredicate, DateTimeZone legacyFileTimeZone, OrcReaderOptions options, Optional<AcidInfo> acidInfo, OptionalInt bucketNumber, boolean originalFile, AcidTransaction transaction, FileFormatDataSourceStats stats) {
    for (HiveColumnHandle column : columns) {
        checkArgument(column.getColumnType() == REGULAR, "column type must be regular: %s", column);
    }
    checkArgument(!effectivePredicate.isNone());
    OrcDataSource orcDataSource;
    boolean originalFilesPresent = acidInfo.isPresent() && !acidInfo.get().getOriginalFiles().isEmpty();
    try {
        FileSystem fileSystem = hdfsEnvironment.getFileSystem(identity, path, configuration);
        FSDataInputStream inputStream = hdfsEnvironment.doAs(identity, () -> fileSystem.open(path));
        orcDataSource = new HdfsOrcDataSource(new OrcDataSourceId(path.toString()), estimatedFileSize, options, inputStream, stats);
    } catch (Exception e) {
        if (nullToEmpty(e.getMessage()).trim().equals("Filesystem closed") || e instanceof FileNotFoundException) {
            throw new TrinoException(HIVE_CANNOT_OPEN_SPLIT, e);
        }
        throw new TrinoException(HIVE_CANNOT_OPEN_SPLIT, splitError(e, path, start, length), e);
    }
    AggregatedMemoryContext memoryUsage = newSimpleAggregatedMemoryContext();
    try {
        Optional<OrcReader> optionalOrcReader = OrcReader.createOrcReader(orcDataSource, options);
        if (optionalOrcReader.isEmpty()) {
            return new EmptyPageSource();
        }
        OrcReader reader = optionalOrcReader.get();
        if (!originalFile && acidInfo.isPresent() && !acidInfo.get().isOrcAcidVersionValidated()) {
            validateOrcAcidVersion(path, reader);
        }
        List<OrcColumn> fileColumns = reader.getRootColumn().getNestedColumns();
        int actualColumnCount = columns.size() + (isFullAcid ? 3 : 0);
        List<OrcColumn> fileReadColumns = new ArrayList<>(actualColumnCount);
        List<Type> fileReadTypes = new ArrayList<>(actualColumnCount);
        List<OrcReader.ProjectedLayout> fileReadLayouts = new ArrayList<>(actualColumnCount);
        if (isFullAcid && !originalFilesPresent) {
            verifyAcidSchema(reader, path);
            Map<String, OrcColumn> acidColumnsByName = uniqueIndex(fileColumns, orcColumn -> orcColumn.getColumnName().toLowerCase(ENGLISH));
            fileColumns = ensureColumnNameConsistency(acidColumnsByName.get(AcidSchema.ACID_COLUMN_ROW_STRUCT.toLowerCase(ENGLISH)).getNestedColumns(), columns);
            fileReadColumns.add(acidColumnsByName.get(AcidSchema.ACID_COLUMN_ORIGINAL_TRANSACTION.toLowerCase(ENGLISH)));
            fileReadTypes.add(BIGINT);
            fileReadLayouts.add(fullyProjectedLayout());
            fileReadColumns.add(acidColumnsByName.get(AcidSchema.ACID_COLUMN_BUCKET.toLowerCase(ENGLISH)));
            fileReadTypes.add(INTEGER);
            fileReadLayouts.add(fullyProjectedLayout());
            fileReadColumns.add(acidColumnsByName.get(AcidSchema.ACID_COLUMN_ROW_ID.toLowerCase(ENGLISH)));
            fileReadTypes.add(BIGINT);
            fileReadLayouts.add(fullyProjectedLayout());
        }
        Map<String, OrcColumn> fileColumnsByName = ImmutableMap.of();
        if (useOrcColumnNames || isFullAcid) {
            verifyFileHasColumnNames(fileColumns, path);
            // Convert column names read from ORC files to lower case to be consistent with those stored in Hive Metastore
            fileColumnsByName = uniqueIndex(fileColumns, orcColumn -> orcColumn.getColumnName().toLowerCase(ENGLISH));
        }
        Map<String, List<List<String>>> projectionsByColumnName = ImmutableMap.of();
        Map<Integer, List<List<String>>> projectionsByColumnIndex = ImmutableMap.of();
        if (useOrcColumnNames || isFullAcid) {
            projectionsByColumnName = projections.stream().collect(Collectors.groupingBy(HiveColumnHandle::getBaseColumnName, mapping(OrcPageSourceFactory::getDereferencesAsList, toList())));
        } else {
            projectionsByColumnIndex = projections.stream().collect(Collectors.groupingBy(HiveColumnHandle::getBaseHiveColumnIndex, mapping(OrcPageSourceFactory::getDereferencesAsList, toList())));
        }
        TupleDomainOrcPredicateBuilder predicateBuilder = TupleDomainOrcPredicate.builder().setBloomFiltersEnabled(options.isBloomFiltersEnabled()).setDomainCompactionThreshold(domainCompactionThreshold);
        Map<HiveColumnHandle, Domain> effectivePredicateDomains = effectivePredicate.getDomains().orElseThrow(() -> new IllegalArgumentException("Effective predicate is none"));
        List<ColumnAdaptation> columnAdaptations = new ArrayList<>(columns.size());
        for (HiveColumnHandle column : columns) {
            OrcColumn orcColumn = null;
            OrcReader.ProjectedLayout projectedLayout = null;
            Map<Optional<HiveColumnProjectionInfo>, Domain> columnDomains = null;
            if (useOrcColumnNames || isFullAcid) {
                String columnName = column.getName().toLowerCase(ENGLISH);
                orcColumn = fileColumnsByName.get(columnName);
                if (orcColumn != null) {
                    projectedLayout = createProjectedLayout(orcColumn, projectionsByColumnName.get(columnName));
                    columnDomains = effectivePredicateDomains.entrySet().stream().filter(columnDomain -> columnDomain.getKey().getBaseColumnName().toLowerCase(ENGLISH).equals(columnName)).collect(toImmutableMap(columnDomain -> columnDomain.getKey().getHiveColumnProjectionInfo(), Map.Entry::getValue));
                }
            } else if (column.getBaseHiveColumnIndex() < fileColumns.size()) {
                orcColumn = fileColumns.get(column.getBaseHiveColumnIndex());
                if (orcColumn != null) {
                    projectedLayout = createProjectedLayout(orcColumn, projectionsByColumnIndex.get(column.getBaseHiveColumnIndex()));
                    columnDomains = effectivePredicateDomains.entrySet().stream().filter(columnDomain -> columnDomain.getKey().getBaseHiveColumnIndex() == column.getBaseHiveColumnIndex()).collect(toImmutableMap(columnDomain -> columnDomain.getKey().getHiveColumnProjectionInfo(), Map.Entry::getValue));
                }
            }
            Type readType = column.getType();
            if (orcColumn != null) {
                int sourceIndex = fileReadColumns.size();
                columnAdaptations.add(ColumnAdaptation.sourceColumn(sourceIndex));
                fileReadColumns.add(orcColumn);
                fileReadTypes.add(readType);
                fileReadLayouts.add(projectedLayout);
                // Add predicates on top-level and nested columns
                for (Map.Entry<Optional<HiveColumnProjectionInfo>, Domain> columnDomain : columnDomains.entrySet()) {
                    OrcColumn nestedColumn = getNestedColumn(orcColumn, columnDomain.getKey());
                    if (nestedColumn != null) {
                        predicateBuilder.addColumn(nestedColumn.getColumnId(), columnDomain.getValue());
                    }
                }
            } else {
                columnAdaptations.add(ColumnAdaptation.nullColumn(readType));
            }
        }
        OrcRecordReader recordReader = reader.createRecordReader(fileReadColumns, fileReadTypes, fileReadLayouts, predicateBuilder.build(), start, length, legacyFileTimeZone, memoryUsage, INITIAL_BATCH_SIZE, exception -> handleException(orcDataSource.getId(), exception), NameBasedFieldMapper::create);
        Optional<OrcDeletedRows> deletedRows = acidInfo.map(info -> new OrcDeletedRows(path.getName(), new OrcDeleteDeltaPageSourceFactory(options, identity, configuration, hdfsEnvironment, stats), identity, configuration, hdfsEnvironment, info, bucketNumber, memoryUsage));
        Optional<Long> originalFileRowId = acidInfo.filter(OrcPageSourceFactory::hasOriginalFiles).map(info -> OriginalFilesUtils.getPrecedingRowCount(acidInfo.get().getOriginalFiles(), path, hdfsEnvironment, identity, options, configuration, stats));
        if (transaction.isDelete()) {
            if (originalFile) {
                int bucket = bucketNumber.orElse(0);
                long startingRowId = originalFileRowId.orElse(0L);
                columnAdaptations.add(ColumnAdaptation.originalFileRowIdColumn(startingRowId, bucket));
            } else {
                columnAdaptations.add(ColumnAdaptation.rowIdColumn());
            }
        } else if (transaction.isUpdate()) {
            HiveUpdateProcessor updateProcessor = transaction.getUpdateProcessor().orElseThrow(() -> new IllegalArgumentException("updateProcessor not present"));
            List<HiveColumnHandle> dependencyColumns = projections.stream().filter(HiveColumnHandle::isBaseColumn).collect(toImmutableList());
            if (originalFile) {
                int bucket = bucketNumber.orElse(0);
                long startingRowId = originalFileRowId.orElse(0L);
                columnAdaptations.add(updatedRowColumnsWithOriginalFiles(startingRowId, bucket, updateProcessor, dependencyColumns));
            } else {
                columnAdaptations.add(updatedRowColumns(updateProcessor, dependencyColumns));
            }
        }
        return new OrcPageSource(recordReader, columnAdaptations, orcDataSource, deletedRows, originalFileRowId, memoryUsage, stats);
    } catch (Exception e) {
        try {
            orcDataSource.close();
        } catch (IOException ignored) {
        }
        if (e instanceof TrinoException) {
            throw (TrinoException) e;
        }
        String message = splitError(e, path, start, length);
        if (e instanceof BlockMissingException) {
            throw new TrinoException(HIVE_MISSING_DATA, message, e);
        }
        throw new TrinoException(HIVE_CANNOT_OPEN_SPLIT, message, e);
    }
}

Example 3 with BIGINT

use of io.trino.spi.type.BigintType.BIGINT in project trino by trinodb.

the class AbstractTestHive method testApplyProjection.

@Test
public void testApplyProjection() throws Exception {
    ColumnMetadata bigIntColumn0 = new ColumnMetadata("int0", BIGINT);
    ColumnMetadata bigIntColumn1 = new ColumnMetadata("int1", BIGINT);
    RowType oneLevelRowType = toRowType(ImmutableList.of(bigIntColumn0, bigIntColumn1));
    ColumnMetadata oneLevelRow0 = new ColumnMetadata("onelevelrow0", oneLevelRowType);
    RowType twoLevelRowType = toRowType(ImmutableList.of(oneLevelRow0, bigIntColumn0, bigIntColumn1));
    ColumnMetadata twoLevelRow0 = new ColumnMetadata("twolevelrow0", twoLevelRowType);
    List<ColumnMetadata> columnsForApplyProjectionTest = ImmutableList.of(bigIntColumn0, bigIntColumn1, oneLevelRow0, twoLevelRow0);
    SchemaTableName tableName = temporaryTable("apply_projection_tester");
    doCreateEmptyTable(tableName, ORC, columnsForApplyProjectionTest);
    try (Transaction transaction = newTransaction()) {
        ConnectorSession session = newSession();
        ConnectorMetadata metadata = transaction.getMetadata();
        ConnectorTableHandle tableHandle = getTableHandle(metadata, tableName);
        List<ColumnHandle> columnHandles = metadata.getColumnHandles(session, tableHandle).values().stream().filter(columnHandle -> !((HiveColumnHandle) columnHandle).isHidden()).collect(toList());
        assertEquals(columnHandles.size(), columnsForApplyProjectionTest.size());
        Map<String, ColumnHandle> columnHandleMap = columnHandles.stream().collect(toImmutableMap(handle -> ((HiveColumnHandle) handle).getBaseColumnName(), Function.identity()));
        // Emulate symbols coming from the query plan and map them to column handles
        Map<String, ColumnHandle> columnHandlesWithSymbols = ImmutableMap.of("symbol_0", columnHandleMap.get("int0"), "symbol_1", columnHandleMap.get("int1"), "symbol_2", columnHandleMap.get("onelevelrow0"), "symbol_3", columnHandleMap.get("twolevelrow0"));
        // Create variables for the emulated symbols
        Map<String, Variable> symbolVariableMapping = columnHandlesWithSymbols.entrySet().stream().collect(toImmutableMap(Map.Entry::getKey, e -> new Variable(e.getKey(), ((HiveColumnHandle) e.getValue()).getBaseType())));
        // Create dereference expressions for testing
        FieldDereference symbol2Field0 = new FieldDereference(BIGINT, symbolVariableMapping.get("symbol_2"), 0);
        FieldDereference symbol3Field0 = new FieldDereference(oneLevelRowType, symbolVariableMapping.get("symbol_3"), 0);
        FieldDereference symbol3Field0Field0 = new FieldDereference(BIGINT, symbol3Field0, 0);
        FieldDereference symbol3Field1 = new FieldDereference(BIGINT, symbolVariableMapping.get("symbol_3"), 1);
        Map<String, ColumnHandle> inputAssignments;
        List<ConnectorExpression> inputProjections;
        Optional<ProjectionApplicationResult<ConnectorTableHandle>> projectionResult;
        List<ConnectorExpression> expectedProjections;
        Map<String, Type> expectedAssignments;
        // Test projected columns pushdown to HiveTableHandle in case of all variable references
        inputAssignments = getColumnHandlesFor(columnHandlesWithSymbols, ImmutableList.of("symbol_0", "symbol_1"));
        inputProjections = ImmutableList.of(symbolVariableMapping.get("symbol_0"), symbolVariableMapping.get("symbol_1"));
        expectedAssignments = ImmutableMap.of("symbol_0", BIGINT, "symbol_1", BIGINT);
        projectionResult = metadata.applyProjection(session, tableHandle, inputProjections, inputAssignments);
        assertProjectionResult(projectionResult, false, inputProjections, expectedAssignments);
        // Empty result when projected column handles are same as those present in table handle
        projectionResult = metadata.applyProjection(session, projectionResult.get().getHandle(), inputProjections, inputAssignments);
        assertProjectionResult(projectionResult, true, ImmutableList.of(), ImmutableMap.of());
        // Extra columns handles in HiveTableHandle should get pruned
        projectionResult = metadata.applyProjection(session, ((HiveTableHandle) tableHandle).withProjectedColumns(ImmutableSet.copyOf(columnHandles)), inputProjections, inputAssignments);
        assertProjectionResult(projectionResult, false, inputProjections, expectedAssignments);
        // Test projection pushdown for dereferences
        inputAssignments = getColumnHandlesFor(columnHandlesWithSymbols, ImmutableList.of("symbol_2", "symbol_3"));
        inputProjections = ImmutableList.of(symbol2Field0, symbol3Field0Field0, symbol3Field1);
        expectedAssignments = ImmutableMap.of("onelevelrow0#f_int0", BIGINT, "twolevelrow0#f_onelevelrow0#f_int0", BIGINT, "twolevelrow0#f_int0", BIGINT);
        expectedProjections = ImmutableList.of(new Variable("onelevelrow0#f_int0", BIGINT), new Variable("twolevelrow0#f_onelevelrow0#f_int0", BIGINT), new Variable("twolevelrow0#f_int0", BIGINT));
        projectionResult = metadata.applyProjection(session, tableHandle, inputProjections, inputAssignments);
        assertProjectionResult(projectionResult, false, expectedProjections, expectedAssignments);
        // Test reuse of virtual column handles
        // Round-1: input projections [symbol_2, symbol_2.int0]. virtual handle is created for symbol_2.int0.
        inputAssignments = getColumnHandlesFor(columnHandlesWithSymbols, ImmutableList.of("symbol_2"));
        inputProjections = ImmutableList.of(symbol2Field0, symbolVariableMapping.get("symbol_2"));
        projectionResult = metadata.applyProjection(session, tableHandle, inputProjections, inputAssignments);
        expectedProjections = ImmutableList.of(new Variable("onelevelrow0#f_int0", BIGINT), symbolVariableMapping.get("symbol_2"));
        expectedAssignments = ImmutableMap.of("onelevelrow0#f_int0", BIGINT, "symbol_2", oneLevelRowType);
        assertProjectionResult(projectionResult, false, expectedProjections, expectedAssignments);
        // Round-2: input projections [symbol_2.int0 and onelevelrow0#f_int0]. Virtual handle is reused.
        Assignment newlyCreatedColumn = getOnlyElement(projectionResult.get().getAssignments().stream().filter(handle -> handle.getVariable().equals("onelevelrow0#f_int0")).collect(toList()));
        inputAssignments = ImmutableMap.<String, ColumnHandle>builder().putAll(getColumnHandlesFor(columnHandlesWithSymbols, ImmutableList.of("symbol_2"))).put(newlyCreatedColumn.getVariable(), newlyCreatedColumn.getColumn()).buildOrThrow();
        inputProjections = ImmutableList.of(symbol2Field0, new Variable("onelevelrow0#f_int0", BIGINT));
        projectionResult = metadata.applyProjection(session, tableHandle, inputProjections, inputAssignments);
        expectedProjections = ImmutableList.of(new Variable("onelevelrow0#f_int0", BIGINT), new Variable("onelevelrow0#f_int0", BIGINT));
        expectedAssignments = ImmutableMap.of("onelevelrow0#f_int0", BIGINT);
        assertProjectionResult(projectionResult, false, expectedProjections, expectedAssignments);
    } finally {
        dropTable(tableName);
    }
}

Example 4 with BIGINT

use of io.trino.spi.type.BigintType.BIGINT in project trino by trinodb.

the class TestLogicalPlanner method testOffset.

@Test
public void testOffset() {
    assertPlan("SELECT name FROM nation OFFSET 2 ROWS", any(strictProject(ImmutableMap.of("name", new ExpressionMatcher("name")), filter("row_num > BIGINT '2'", rowNumber(pattern -> pattern.partitionBy(ImmutableList.of()), any(tableScan("nation", ImmutableMap.of("name", "name")))).withAlias("row_num", new RowNumberSymbolMatcher())))));
    assertPlan("SELECT name FROM nation ORDER BY regionkey OFFSET 2 ROWS", any(strictProject(ImmutableMap.of("name", new ExpressionMatcher("name")), filter("row_num > BIGINT '2'", rowNumber(pattern -> pattern.partitionBy(ImmutableList.of()), anyTree(sort(ImmutableList.of(sort("regionkey", ASCENDING, LAST)), any(tableScan("nation", ImmutableMap.of("name", "name", "regionkey", "regionkey")))))).withAlias("row_num", new RowNumberSymbolMatcher())))));
    assertPlan("SELECT name FROM nation ORDER BY regionkey OFFSET 2 ROWS FETCH NEXT 5 ROWS ONLY", any(strictProject(ImmutableMap.of("name", new ExpressionMatcher("name")), filter("row_num > BIGINT '2'", rowNumber(pattern -> pattern.partitionBy(ImmutableList.of()), any(topN(7, ImmutableList.of(sort("regionkey", ASCENDING, LAST)), TopNNode.Step.FINAL, anyTree(tableScan("nation", ImmutableMap.of("name", "name", "regionkey", "regionkey")))))).withAlias("row_num", new RowNumberSymbolMatcher())))));
    assertPlan("SELECT name FROM nation OFFSET 2 ROWS FETCH NEXT 5 ROWS ONLY", any(strictProject(ImmutableMap.of("name", new ExpressionMatcher("name")), filter("row_num > BIGINT '2'", rowNumber(pattern -> pattern.partitionBy(ImmutableList.of()), limit(7, any(tableScan("nation", ImmutableMap.of("name", "name"))))).withAlias("row_num", new RowNumberSymbolMatcher())))));
}

Example 5 with BIGINT

use of io.trino.spi.type.BigintType.BIGINT in project trino by trinodb.

the class TestPushPredicateIntoTableScan method doesNotFireOnNonDeterministicPredicate.

@Test
public void doesNotFireOnNonDeterministicPredicate() {
    ColumnHandle columnHandle = new TpchColumnHandle("nationkey", BIGINT);
    tester().assertThat(pushPredicateIntoTableScan).on(p -> p.filter(new ComparisonExpression(EQUAL, functionResolution.functionCallBuilder(QualifiedName.of("rand")).build(), new LongLiteral("42")), p.tableScan(nationTableHandle, ImmutableList.of(p.symbol("nationkey", BIGINT)), ImmutableMap.of(p.symbol("nationkey", BIGINT), columnHandle), TupleDomain.all()))).doesNotFire();
}