Examples with CatalogBaseTable org.apache.flink.table.catalog.CatalogBaseTable used on opensource projects

Example 56 with CatalogBaseTable

use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by apache.

the class HiveParserDDLSemanticAnalyzer method convertAlterTable.

private Operation convertAlterTable(HiveParserASTNode input) throws SemanticException {
    Operation operation = null;
    HiveParserASTNode ast = (HiveParserASTNode) input.getChild(1);
    String[] qualified = HiveParserBaseSemanticAnalyzer.getQualifiedTableName((HiveParserASTNode) input.getChild(0));
    String tableName = HiveParserBaseSemanticAnalyzer.getDotName(qualified);
    HashMap<String, String> partSpec = null;
    HiveParserASTNode partSpecNode = (HiveParserASTNode) input.getChild(2);
    if (partSpecNode != null) {
        partSpec = getPartSpec(partSpecNode);
    }
    CatalogBaseTable alteredTable = getAlteredTable(tableName, false);
    switch(ast.getType()) {
        case HiveASTParser.TOK_ALTERTABLE_RENAME:
            operation = convertAlterTableRename(tableName, ast, false);
            break;
        case HiveASTParser.TOK_ALTERTABLE_ADDCOLS:
            operation = convertAlterTableModifyCols(alteredTable, tableName, ast, false);
            break;
        case HiveASTParser.TOK_ALTERTABLE_REPLACECOLS:
            operation = convertAlterTableModifyCols(alteredTable, tableName, ast, true);
            break;
        case HiveASTParser.TOK_ALTERTABLE_RENAMECOL:
            operation = convertAlterTableChangeCol(alteredTable, qualified, ast);
            break;
        case HiveASTParser.TOK_ALTERTABLE_ADDPARTS:
            operation = convertAlterTableAddParts(qualified, ast);
            break;
        case HiveASTParser.TOK_ALTERTABLE_DROPPARTS:
            operation = convertAlterTableDropParts(qualified, ast);
            break;
        case HiveASTParser.TOK_ALTERTABLE_PROPERTIES:
            operation = convertAlterTableProps(alteredTable, tableName, null, ast, false, false);
            break;
        case HiveASTParser.TOK_ALTERTABLE_DROPPROPERTIES:
            operation = convertAlterTableProps(alteredTable, tableName, null, ast, false, true);
            break;
        case HiveASTParser.TOK_ALTERTABLE_UPDATESTATS:
            operation = convertAlterTableProps(alteredTable, tableName, partSpec, ast, false, false);
            break;
        case HiveASTParser.TOK_ALTERTABLE_FILEFORMAT:
            operation = convertAlterTableFileFormat(alteredTable, ast, tableName, partSpec);
            break;
        case HiveASTParser.TOK_ALTERTABLE_LOCATION:
            operation = convertAlterTableLocation(alteredTable, ast, tableName, partSpec);
            break;
        case HiveASTParser.TOK_ALTERTABLE_SERIALIZER:
            operation = convertAlterTableSerde(alteredTable, ast, tableName, partSpec);
            break;
        case HiveASTParser.TOK_ALTERTABLE_SERDEPROPERTIES:
            operation = convertAlterTableSerdeProps(alteredTable, ast, tableName, partSpec);
            break;
        case HiveASTParser.TOK_ALTERTABLE_TOUCH:
        case HiveASTParser.TOK_ALTERTABLE_ARCHIVE:
        case HiveASTParser.TOK_ALTERTABLE_UNARCHIVE:
        case HiveASTParser.TOK_ALTERTABLE_PARTCOLTYPE:
        case HiveASTParser.TOK_ALTERTABLE_SKEWED:
        case HiveASTParser.TOK_ALTERTABLE_EXCHANGEPARTITION:
        case HiveASTParser.TOK_ALTERTABLE_MERGEFILES:
        case HiveASTParser.TOK_ALTERTABLE_RENAMEPART:
        case HiveASTParser.TOK_ALTERTABLE_SKEWED_LOCATION:
        case HiveASTParser.TOK_ALTERTABLE_BUCKETS:
        case HiveASTParser.TOK_ALTERTABLE_CLUSTER_SORT:
        case HiveASTParser.TOK_ALTERTABLE_COMPACT:
        case HiveASTParser.TOK_ALTERTABLE_UPDATECOLSTATS:
        case HiveASTParser.TOK_ALTERTABLE_DROPCONSTRAINT:
        case HiveASTParser.TOK_ALTERTABLE_ADDCONSTRAINT:
            handleUnsupportedOperation(ast);
            break;
        default:
            throw new ValidationException("Unknown AST node for ALTER TABLE: " + ast);
    }
    return operation;
}

Example 57 with CatalogBaseTable

use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by apache.

the class HiveParserDDLSemanticAnalyzer method convertAlterView.

private Operation convertAlterView(HiveParserASTNode ast) throws SemanticException {
    Operation operation = null;
    String[] qualified = HiveParserBaseSemanticAnalyzer.getQualifiedTableName((HiveParserASTNode) ast.getChild(0));
    String tableName = HiveParserBaseSemanticAnalyzer.getDotName(qualified);
    CatalogBaseTable alteredTable = getAlteredTable(tableName, true);
    if (ast.getChild(1).getType() == HiveASTParser.TOK_QUERY) {
        // alter view as
        operation = convertCreateView(ast);
    } else {
        ast = (HiveParserASTNode) ast.getChild(1);
        switch(ast.getType()) {
            case HiveASTParser.TOK_ALTERVIEW_PROPERTIES:
                operation = convertAlterTableProps(alteredTable, tableName, null, ast, true, false);
                break;
            case HiveASTParser.TOK_ALTERVIEW_DROPPROPERTIES:
                operation = convertAlterTableProps(alteredTable, tableName, null, ast, true, true);
                break;
            case HiveASTParser.TOK_ALTERVIEW_RENAME:
                operation = convertAlterTableRename(tableName, ast, true);
                break;
            case HiveASTParser.TOK_ALTERVIEW_ADDPARTS:
            case HiveASTParser.TOK_ALTERVIEW_DROPPARTS:
                handleUnsupportedOperation("ADD/DROP PARTITION for view is not supported");
                break;
            default:
                throw new ValidationException("Unknown AST node for ALTER VIEW: " + ast);
        }
    }
    return operation;
}

Example 58 with CatalogBaseTable

use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by apache.

the class HiveParserDDLSemanticAnalyzer method convertAlterTableChangeCol.

private Operation convertAlterTableChangeCol(CatalogBaseTable alteredTable, String[] qualified, HiveParserASTNode ast) throws SemanticException {
    String newComment = null;
    boolean first = false;
    String flagCol = null;
    boolean isCascade = false;
    // col_old_name col_new_name column_type [COMMENT col_comment] [FIRST|AFTER column_name]
    // [CASCADE|RESTRICT]
    String oldColName = ast.getChild(0).getText();
    String newColName = ast.getChild(1).getText();
    String newType = HiveParserBaseSemanticAnalyzer.getTypeStringFromAST((HiveParserASTNode) ast.getChild(2));
    int childCount = ast.getChildCount();
    for (int i = 3; i < childCount; i++) {
        HiveParserASTNode child = (HiveParserASTNode) ast.getChild(i);
        switch(child.getToken().getType()) {
            case HiveASTParser.StringLiteral:
                newComment = HiveParserBaseSemanticAnalyzer.unescapeSQLString(child.getText());
                break;
            case HiveASTParser.TOK_ALTERTABLE_CHANGECOL_AFTER_POSITION:
                flagCol = HiveParserBaseSemanticAnalyzer.unescapeIdentifier(child.getChild(0).getText());
                break;
            case HiveASTParser.KW_FIRST:
                first = true;
                break;
            case HiveASTParser.TOK_CASCADE:
                isCascade = true;
                break;
            case HiveASTParser.TOK_RESTRICT:
                break;
            default:
                throw new ValidationException("Unsupported token: " + child.getToken() + " for alter table");
        }
    }
    // Validate the operation of renaming a column name.
    Table tab = getTable(new ObjectPath(qualified[0], qualified[1]));
    SkewedInfo skewInfo = tab.getTTable().getSd().getSkewedInfo();
    if ((null != skewInfo) && (null != skewInfo.getSkewedColNames()) && skewInfo.getSkewedColNames().contains(oldColName)) {
        throw new ValidationException(oldColName + ErrorMsg.ALTER_TABLE_NOT_ALLOWED_RENAME_SKEWED_COLUMN.getMsg());
    }
    String tblName = HiveParserBaseSemanticAnalyzer.getDotName(qualified);
    ObjectIdentifier tableIdentifier = parseObjectIdentifier(tblName);
    CatalogTable oldTable = (CatalogTable) alteredTable;
    String oldName = HiveParserBaseSemanticAnalyzer.unescapeIdentifier(oldColName);
    String newName = HiveParserBaseSemanticAnalyzer.unescapeIdentifier(newColName);
    if (oldTable.getPartitionKeys().contains(oldName)) {
        // disallow changing partition columns
        throw new ValidationException("CHANGE COLUMN cannot be applied to partition columns");
    }
    TableSchema oldSchema = oldTable.getSchema();
    TableColumn newTableColumn = TableColumn.physical(newName, HiveTypeUtil.toFlinkType(TypeInfoUtils.getTypeInfoFromTypeString(newType)));
    TableSchema newSchema = OperationConverterUtils.changeColumn(oldSchema, oldName, newTableColumn, first, flagCol);
    Map<String, String> props = new HashMap<>(oldTable.getOptions());
    props.put(ALTER_TABLE_OP, ALTER_COLUMNS.name());
    if (isCascade) {
        props.put(ALTER_COL_CASCADE, "true");
    }
    return new AlterTableSchemaOperation(tableIdentifier, new CatalogTableImpl(newSchema, oldTable.getPartitionKeys(), props, oldTable.getComment()));
}

Example 59 with CatalogBaseTable

use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by apache.

the class HiveParserDDLSemanticAnalyzer method convertCreateView.

private Operation convertCreateView(HiveParserASTNode ast) throws SemanticException {
    String[] qualTabName = HiveParserBaseSemanticAnalyzer.getQualifiedTableName((HiveParserASTNode) ast.getChild(0));
    String dbDotTable = HiveParserBaseSemanticAnalyzer.getDotName(qualTabName);
    List<FieldSchema> cols = null;
    boolean ifNotExists = false;
    boolean isAlterViewAs = false;
    String comment = null;
    HiveParserASTNode selectStmt = null;
    Map<String, String> tblProps = null;
    boolean isMaterialized = ast.getToken().getType() == HiveASTParser.TOK_CREATE_MATERIALIZED_VIEW;
    if (isMaterialized) {
        handleUnsupportedOperation("MATERIALIZED VIEW is not supported");
    }
    HiveParserStorageFormat storageFormat = new HiveParserStorageFormat(conf);
    LOG.info("Creating view " + dbDotTable + " position=" + ast.getCharPositionInLine());
    int numCh = ast.getChildCount();
    for (int num = 1; num < numCh; num++) {
        HiveParserASTNode child = (HiveParserASTNode) ast.getChild(num);
        if (storageFormat.fillStorageFormat(child)) {
            handleUnsupportedOperation("FILE FORMAT for view is not supported");
        }
        switch(child.getToken().getType()) {
            case HiveASTParser.TOK_IFNOTEXISTS:
                ifNotExists = true;
                break;
            case HiveASTParser.TOK_REWRITE_ENABLED:
                handleUnsupportedOperation("MATERIALIZED VIEW REWRITE is not supported");
                break;
            case HiveASTParser.TOK_ORREPLACE:
                handleUnsupportedOperation("CREATE OR REPLACE VIEW is not supported");
                break;
            case HiveASTParser.TOK_QUERY:
                selectStmt = child;
                break;
            case HiveASTParser.TOK_TABCOLNAME:
                cols = HiveParserBaseSemanticAnalyzer.getColumns(child);
                break;
            case HiveASTParser.TOK_TABLECOMMENT:
                comment = HiveParserBaseSemanticAnalyzer.unescapeSQLString(child.getChild(0).getText());
                break;
            case HiveASTParser.TOK_TABLEPROPERTIES:
                tblProps = getProps((HiveParserASTNode) child.getChild(0));
                break;
            case HiveASTParser.TOK_TABLEROWFORMAT:
                handleUnsupportedOperation("ROW FORMAT for view is not supported");
                break;
            case HiveASTParser.TOK_TABLESERIALIZER:
                handleUnsupportedOperation("SERDE for view is not supported");
                break;
            case HiveASTParser.TOK_TABLELOCATION:
                handleUnsupportedOperation("LOCATION for view is not supported");
                break;
            case HiveASTParser.TOK_VIEWPARTCOLS:
                handleUnsupportedOperation("PARTITION COLUMN for view is not supported");
                break;
            default:
                throw new ValidationException("Unknown AST node for CREATE/ALTER VIEW: " + child);
        }
    }
    if (ast.getToken().getType() == HiveASTParser.TOK_ALTERVIEW && ast.getChild(1).getType() == HiveASTParser.TOK_QUERY) {
        isAlterViewAs = true;
    }
    queryState.setCommandType(HiveOperation.CREATEVIEW);
    HiveParserCreateViewInfo createViewInfo = new HiveParserCreateViewInfo(dbDotTable, cols, selectStmt);
    hiveParser.analyzeCreateView(createViewInfo, context, queryState, hiveShim);
    ObjectIdentifier viewIdentifier = parseObjectIdentifier(createViewInfo.getCompoundName());
    TableSchema schema = HiveTableUtil.createTableSchema(createViewInfo.getSchema(), Collections.emptyList(), Collections.emptySet(), null);
    Map<String, String> props = new HashMap<>();
    if (isAlterViewAs) {
        CatalogBaseTable baseTable = getCatalogBaseTable(viewIdentifier);
        props.putAll(baseTable.getOptions());
        comment = baseTable.getComment();
    } else {
        if (tblProps != null) {
            props.putAll(tblProps);
        }
    }
    CatalogView catalogView = new CatalogViewImpl(createViewInfo.getOriginalText(), createViewInfo.getExpandedText(), schema, props, comment);
    if (isAlterViewAs) {
        return new AlterViewAsOperation(viewIdentifier, catalogView);
    } else {
        return new CreateViewOperation(viewIdentifier, catalogView, ifNotExists, false);
    }
}

Example 60 with CatalogBaseTable

use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by apache.

the class HiveCatalogGenericMetadataTest method testTableSchemaCompatibility.

@Test
public // NOTE: Be careful to modify this test, it is important to backward compatibility
void testTableSchemaCompatibility() throws Exception {
    catalog.createDatabase(db1, createDb(), false);
    try {
        // table with numeric types
        ObjectPath tablePath = new ObjectPath(db1, "generic1");
        Table hiveTable = org.apache.hadoop.hive.ql.metadata.Table.getEmptyTable(tablePath.getDatabaseName(), tablePath.getObjectName());
        hiveTable.setDbName(tablePath.getDatabaseName());
        hiveTable.setTableName(tablePath.getObjectName());
        setLegacyGeneric(hiveTable.getParameters());
        hiveTable.getParameters().put("flink.generic.table.schema.0.name", "ti");
        hiveTable.getParameters().put("flink.generic.table.schema.0.data-type", "TINYINT");
        hiveTable.getParameters().put("flink.generic.table.schema.1.name", "si");
        hiveTable.getParameters().put("flink.generic.table.schema.1.data-type", "SMALLINT");
        hiveTable.getParameters().put("flink.generic.table.schema.2.name", "i");
        hiveTable.getParameters().put("flink.generic.table.schema.2.data-type", "INT");
        hiveTable.getParameters().put("flink.generic.table.schema.3.name", "bi");
        hiveTable.getParameters().put("flink.generic.table.schema.3.data-type", "BIGINT");
        hiveTable.getParameters().put("flink.generic.table.schema.4.name", "f");
        hiveTable.getParameters().put("flink.generic.table.schema.4.data-type", "FLOAT");
        hiveTable.getParameters().put("flink.generic.table.schema.5.name", "d");
        hiveTable.getParameters().put("flink.generic.table.schema.5.data-type", "DOUBLE");
        hiveTable.getParameters().put("flink.generic.table.schema.6.name", "de");
        hiveTable.getParameters().put("flink.generic.table.schema.6.data-type", "DECIMAL(10, 5)");
        hiveTable.getParameters().put("flink.generic.table.schema.7.name", "cost");
        hiveTable.getParameters().put("flink.generic.table.schema.7.expr", "`d` * `bi`");
        hiveTable.getParameters().put("flink.generic.table.schema.7.data-type", "DOUBLE");
        ((HiveCatalog) catalog).client.createTable(hiveTable);
        CatalogBaseTable catalogBaseTable = catalog.getTable(tablePath);
        assertFalse(HiveCatalog.isHiveTable(catalogBaseTable.getOptions()));
        TableSchema expectedSchema = TableSchema.builder().fields(new String[] { "ti", "si", "i", "bi", "f", "d", "de" }, new DataType[] { DataTypes.TINYINT(), DataTypes.SMALLINT(), DataTypes.INT(), DataTypes.BIGINT(), DataTypes.FLOAT(), DataTypes.DOUBLE(), DataTypes.DECIMAL(10, 5) }).field("cost", DataTypes.DOUBLE(), "`d` * `bi`").build();
        assertEquals(expectedSchema, catalogBaseTable.getSchema());
        // table with character types
        tablePath = new ObjectPath(db1, "generic2");
        hiveTable = org.apache.hadoop.hive.ql.metadata.Table.getEmptyTable(tablePath.getDatabaseName(), tablePath.getObjectName());
        hiveTable.setDbName(tablePath.getDatabaseName());
        hiveTable.setTableName(tablePath.getObjectName());
        setLegacyGeneric(hiveTable.getParameters());
        hiveTable.setTableName(tablePath.getObjectName());
        hiveTable.getParameters().put("flink.generic.table.schema.0.name", "c");
        hiveTable.getParameters().put("flink.generic.table.schema.0.data-type", "CHAR(265)");
        hiveTable.getParameters().put("flink.generic.table.schema.1.name", "vc");
        hiveTable.getParameters().put("flink.generic.table.schema.1.data-type", "VARCHAR(65536)");
        hiveTable.getParameters().put("flink.generic.table.schema.2.name", "s");
        hiveTable.getParameters().put("flink.generic.table.schema.2.data-type", "VARCHAR(2147483647)");
        hiveTable.getParameters().put("flink.generic.table.schema.3.name", "b");
        hiveTable.getParameters().put("flink.generic.table.schema.3.data-type", "BINARY(1)");
        hiveTable.getParameters().put("flink.generic.table.schema.4.name", "vb");
        hiveTable.getParameters().put("flink.generic.table.schema.4.data-type", "VARBINARY(255)");
        hiveTable.getParameters().put("flink.generic.table.schema.5.name", "bs");
        hiveTable.getParameters().put("flink.generic.table.schema.5.data-type", "VARBINARY(2147483647)");
        hiveTable.getParameters().put("flink.generic.table.schema.6.name", "len");
        hiveTable.getParameters().put("flink.generic.table.schema.6.expr", "CHAR_LENGTH(`s`)");
        hiveTable.getParameters().put("flink.generic.table.schema.6.data-type", "INT");
        ((HiveCatalog) catalog).client.createTable(hiveTable);
        catalogBaseTable = catalog.getTable(tablePath);
        expectedSchema = TableSchema.builder().fields(new String[] { "c", "vc", "s", "b", "vb", "bs" }, new DataType[] { DataTypes.CHAR(265), DataTypes.VARCHAR(65536), DataTypes.STRING(), DataTypes.BINARY(1), DataTypes.VARBINARY(255), DataTypes.BYTES() }).field("len", DataTypes.INT(), "CHAR_LENGTH(`s`)").build();
        assertEquals(expectedSchema, catalogBaseTable.getSchema());
        // table with date/time types
        tablePath = new ObjectPath(db1, "generic3");
        hiveTable = org.apache.hadoop.hive.ql.metadata.Table.getEmptyTable(tablePath.getDatabaseName(), tablePath.getObjectName());
        hiveTable.setDbName(tablePath.getDatabaseName());
        hiveTable.setTableName(tablePath.getObjectName());
        setLegacyGeneric(hiveTable.getParameters());
        hiveTable.setTableName(tablePath.getObjectName());
        hiveTable.getParameters().put("flink.generic.table.schema.0.name", "dt");
        hiveTable.getParameters().put("flink.generic.table.schema.0.data-type", "DATE");
        hiveTable.getParameters().put("flink.generic.table.schema.1.name", "t");
        hiveTable.getParameters().put("flink.generic.table.schema.1.data-type", "TIME(0)");
        hiveTable.getParameters().put("flink.generic.table.schema.2.name", "ts");
        hiveTable.getParameters().put("flink.generic.table.schema.2.data-type", "TIMESTAMP(3)");
        hiveTable.getParameters().put("flink.generic.table.schema.3.name", "tstz");
        hiveTable.getParameters().put("flink.generic.table.schema.3.data-type", "TIMESTAMP(6) WITH LOCAL TIME ZONE");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.rowtime", "ts");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.strategy.data-type", "TIMESTAMP(3)");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.strategy.expr", "ts");
        ((HiveCatalog) catalog).client.createTable(hiveTable);
        catalogBaseTable = catalog.getTable(tablePath);
        expectedSchema = TableSchema.builder().fields(new String[] { "dt", "t", "ts", "tstz" }, new DataType[] { DataTypes.DATE(), DataTypes.TIME(), DataTypes.TIMESTAMP(3), DataTypes.TIMESTAMP_WITH_LOCAL_TIME_ZONE() }).watermark("ts", "ts", DataTypes.TIMESTAMP(3)).build();
        assertEquals(expectedSchema, catalogBaseTable.getSchema());
        // table with complex/misc types
        tablePath = new ObjectPath(db1, "generic4");
        hiveTable = org.apache.hadoop.hive.ql.metadata.Table.getEmptyTable(tablePath.getDatabaseName(), tablePath.getObjectName());
        hiveTable.setDbName(tablePath.getDatabaseName());
        hiveTable.setTableName(tablePath.getObjectName());
        setLegacyGeneric(hiveTable.getParameters());
        hiveTable.setTableName(tablePath.getObjectName());
        hiveTable.getParameters().put("flink.generic.table.schema.0.name", "a");
        hiveTable.getParameters().put("flink.generic.table.schema.0.data-type", "ARRAY<INT>");
        hiveTable.getParameters().put("flink.generic.table.schema.1.name", "m");
        hiveTable.getParameters().put("flink.generic.table.schema.1.data-type", "MAP<BIGINT, TIMESTAMP(6)>");
        hiveTable.getParameters().put("flink.generic.table.schema.2.name", "mul");
        hiveTable.getParameters().put("flink.generic.table.schema.2.data-type", "MULTISET<DOUBLE>");
        hiveTable.getParameters().put("flink.generic.table.schema.3.name", "r");
        hiveTable.getParameters().put("flink.generic.table.schema.3.data-type", "ROW<`f1` INT, `f2` VARCHAR(2147483647)>");
        hiveTable.getParameters().put("flink.generic.table.schema.4.name", "b");
        hiveTable.getParameters().put("flink.generic.table.schema.4.data-type", "BOOLEAN");
        hiveTable.getParameters().put("flink.generic.table.schema.5.name", "ts");
        hiveTable.getParameters().put("flink.generic.table.schema.5.data-type", "TIMESTAMP(3)");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.rowtime", "ts");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.strategy.data-type", "TIMESTAMP(3)");
        hiveTable.getParameters().put("flink.generic.table.schema.watermark.0.strategy.expr", "`ts` - INTERVAL '5' SECOND");
        ((HiveCatalog) catalog).client.createTable(hiveTable);
        catalogBaseTable = catalog.getTable(tablePath);
        expectedSchema = TableSchema.builder().fields(new String[] { "a", "m", "mul", "r", "b", "ts" }, new DataType[] { DataTypes.ARRAY(DataTypes.INT()), DataTypes.MAP(DataTypes.BIGINT(), DataTypes.TIMESTAMP()), DataTypes.MULTISET(DataTypes.DOUBLE()), DataTypes.ROW(DataTypes.FIELD("f1", DataTypes.INT()), DataTypes.FIELD("f2", DataTypes.STRING())), DataTypes.BOOLEAN(), DataTypes.TIMESTAMP(3) }).watermark("ts", "`ts` - INTERVAL '5' SECOND", DataTypes.TIMESTAMP(3)).build();
        assertEquals(expectedSchema, catalogBaseTable.getSchema());
    } finally {
        catalog.dropDatabase(db1, true, true);
    }
}