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Example 26 with TableSchema

use of org.apache.flink.table.api.TableSchema in project flink by apache.

the class MergeTableLikeUtilTest method mergeExcludingMetadataColumnsDuplicate.

@Test
public void mergeExcludingMetadataColumnsDuplicate() {
    TableSchema sourceSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.metadata("two", DataTypes.INT())).build();
    List<SqlNode> derivedColumns = Collections.singletonList(metadataColumn("two", DataTypes.BOOLEAN(), false));
    Map<FeatureOption, MergingStrategy> mergingStrategies = getDefaultMergingStrategies();
    mergingStrategies.put(FeatureOption.METADATA, MergingStrategy.EXCLUDING);
    TableSchema mergedSchema = util.mergeTables(mergingStrategies, sourceSchema, derivedColumns, Collections.emptyList(), null);
    TableSchema expectedSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.metadata("two", DataTypes.BOOLEAN())).build();
    assertThat(mergedSchema, equalTo(expectedSchema));
}
Also used : FeatureOption(org.apache.flink.sql.parser.ddl.SqlTableLike.FeatureOption) TableSchema(org.apache.flink.table.api.TableSchema) MergingStrategy(org.apache.flink.sql.parser.ddl.SqlTableLike.MergingStrategy) SqlNode(org.apache.calcite.sql.SqlNode) Test(org.junit.Test)

Example 27 with TableSchema

use of org.apache.flink.table.api.TableSchema in project flink by apache.

the class MergeTableLikeUtilTest method mergeIncludingGeneratedColumnsFailsOnDuplicate.

@Test
public void mergeIncludingGeneratedColumnsFailsOnDuplicate() {
    TableSchema sourceSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.computed("two", DataTypes.INT(), "one + 1")).build();
    List<SqlNode> derivedColumns = Collections.singletonList(computedColumn("two", plus("one", "3")));
    thrown.expect(ValidationException.class);
    thrown.expectMessage("A generated column named 'two' already exists in the base table. You " + "might want to specify EXCLUDING GENERATED or OVERWRITING GENERATED");
    util.mergeTables(getDefaultMergingStrategies(), sourceSchema, derivedColumns, Collections.emptyList(), null);
}
Also used : TableSchema(org.apache.flink.table.api.TableSchema) SqlNode(org.apache.calcite.sql.SqlNode) Test(org.junit.Test)

Example 28 with TableSchema

use of org.apache.flink.table.api.TableSchema in project flink by apache.

the class MergeTableLikeUtilTest method mergeWatermarks.

@Test
public void mergeWatermarks() {
    TableSchema sourceSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.computed("two", DataTypes.INT(), "one + 1")).add(TableColumn.physical("timestamp", DataTypes.TIMESTAMP())).watermark("timestamp", "timestamp - INTERVAL '5' SECOND", DataTypes.TIMESTAMP()).build();
    List<SqlNode> derivedColumns = Arrays.asList(regularColumn("three", DataTypes.INT()), computedColumn("four", plus("one", "3")));
    TableSchema mergedSchema = util.mergeTables(getDefaultMergingStrategies(), sourceSchema, derivedColumns, Collections.emptyList(), null);
    TableSchema expectedSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.computed("two", DataTypes.INT(), "one + 1")).add(TableColumn.physical("timestamp", DataTypes.TIMESTAMP())).watermark("timestamp", "timestamp - INTERVAL '5' SECOND", DataTypes.TIMESTAMP()).add(TableColumn.physical("three", DataTypes.INT())).add(TableColumn.computed("four", DataTypes.INT(), "`one` + 3")).build();
    assertThat(mergedSchema, equalTo(expectedSchema));
}
Also used : TableSchema(org.apache.flink.table.api.TableSchema) SqlNode(org.apache.calcite.sql.SqlNode) Test(org.junit.Test)

Example 29 with TableSchema

use of org.apache.flink.table.api.TableSchema in project flink by apache.

the class MergeTableLikeUtilTest method mergeExcludingWatermarksDuplicate.

@Test
public void mergeExcludingWatermarksDuplicate() {
    TableSchema sourceSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.physical("timestamp", DataTypes.TIMESTAMP())).watermark("timestamp", "timestamp - INTERVAL '5' SECOND", DataTypes.TIMESTAMP()).build();
    List<SqlWatermark> derivedWatermarkSpecs = Collections.singletonList(new SqlWatermark(SqlParserPos.ZERO, identifier("timestamp"), boundedStrategy("timestamp", "10")));
    Map<FeatureOption, MergingStrategy> mergingStrategies = getDefaultMergingStrategies();
    mergingStrategies.put(FeatureOption.WATERMARKS, MergingStrategy.EXCLUDING);
    TableSchema mergedSchema = util.mergeTables(mergingStrategies, sourceSchema, Collections.emptyList(), derivedWatermarkSpecs, null);
    TableSchema expectedSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT())).add(TableColumn.physical("timestamp", DataTypes.TIMESTAMP())).watermark("timestamp", "`timestamp` - INTERVAL '10' SECOND", DataTypes.TIMESTAMP()).build();
    assertThat(mergedSchema, equalTo(expectedSchema));
}
Also used : FeatureOption(org.apache.flink.sql.parser.ddl.SqlTableLike.FeatureOption) TableSchema(org.apache.flink.table.api.TableSchema) SqlWatermark(org.apache.flink.sql.parser.ddl.SqlWatermark) MergingStrategy(org.apache.flink.sql.parser.ddl.SqlTableLike.MergingStrategy) Test(org.junit.Test)

Example 30 with TableSchema

use of org.apache.flink.table.api.TableSchema in project flink by apache.

the class MergeTableLikeUtilTest method mergeExcludingConstraintsOnDuplicate.

@Test
public void mergeExcludingConstraintsOnDuplicate() {
    TableSchema sourceSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT().notNull())).add(TableColumn.physical("two", DataTypes.STRING().notNull())).add(TableColumn.physical("three", DataTypes.FLOAT().notNull())).primaryKey("constraint-42", new String[] { "one", "two", "three" }).build();
    Map<FeatureOption, MergingStrategy> mergingStrategies = getDefaultMergingStrategies();
    mergingStrategies.put(FeatureOption.CONSTRAINTS, MergingStrategy.EXCLUDING);
    TableSchema mergedSchema = util.mergeTables(mergingStrategies, sourceSchema, Collections.emptyList(), Collections.emptyList(), primaryKey("one", "two"));
    TableSchema expectedSchema = TableSchema.builder().add(TableColumn.physical("one", DataTypes.INT().notNull())).add(TableColumn.physical("two", DataTypes.STRING().notNull())).add(TableColumn.physical("three", DataTypes.FLOAT().notNull())).primaryKey("PK_3531879", new String[] { "one", "two" }).build();
    assertThat(mergedSchema, equalTo(expectedSchema));
}
Also used : FeatureOption(org.apache.flink.sql.parser.ddl.SqlTableLike.FeatureOption) TableSchema(org.apache.flink.table.api.TableSchema) MergingStrategy(org.apache.flink.sql.parser.ddl.SqlTableLike.MergingStrategy) Test(org.junit.Test)

Aggregations

TableSchema (org.apache.flink.table.api.TableSchema)86 Test (org.junit.Test)54 HashMap (java.util.HashMap)26 CatalogTableImpl (org.apache.flink.table.catalog.CatalogTableImpl)21 SqlNode (org.apache.calcite.sql.SqlNode)19 ObjectPath (org.apache.flink.table.catalog.ObjectPath)19 CatalogTable (org.apache.flink.table.catalog.CatalogTable)18 DataType (org.apache.flink.table.types.DataType)16 ValidationException (org.apache.flink.table.api.ValidationException)14 TableColumn (org.apache.flink.table.api.TableColumn)10 UniqueConstraint (org.apache.flink.table.api.constraints.UniqueConstraint)10 ArrayList (java.util.ArrayList)9 List (java.util.List)9 Map (java.util.Map)9 FeatureOption (org.apache.flink.sql.parser.ddl.SqlTableLike.FeatureOption)9 MergingStrategy (org.apache.flink.sql.parser.ddl.SqlTableLike.MergingStrategy)9 CatalogBaseTable (org.apache.flink.table.catalog.CatalogBaseTable)8 ObjectIdentifier (org.apache.flink.table.catalog.ObjectIdentifier)8 Arrays (java.util.Arrays)7 Configuration (org.apache.flink.configuration.Configuration)7