use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by splunk.
the class HiveCatalogTest method testCreateAndGetFlinkManagedTable.
@Test
public void testCreateAndGetFlinkManagedTable() throws Exception {
CatalogTable table = new CatalogTableImpl(schema, Collections.emptyMap(), "Flink managed table");
hiveCatalog.createTable(tablePath, table, false);
Table hiveTable = hiveCatalog.getHiveTable(tablePath);
assertThat(hiveTable.getParameters()).containsEntry(FLINK_PROPERTY_PREFIX + CONNECTOR.key(), ManagedTableFactory.DEFAULT_IDENTIFIER);
CatalogBaseTable retrievedTable = hiveCatalog.instantiateCatalogTable(hiveTable);
assertThat(retrievedTable.getOptions()).isEmpty();
}
use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by splunk.
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);
}
}
use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by splunk.
the class HiveCatalogHiveMetadataTest method testViewCompatibility.
// ------ table and column stats ------
@Test
public void testViewCompatibility() throws Exception {
// we always store view schema via properties now
// make sure non-generic views created previously can still be used
catalog.createDatabase(db1, createDb(), false);
Table hiveView = org.apache.hadoop.hive.ql.metadata.Table.getEmptyTable(path1.getDatabaseName(), path1.getObjectName());
// mark as a view
hiveView.setTableType(TableType.VIRTUAL_VIEW.name());
final String originQuery = "view origin query";
final String expandedQuery = "view expanded query";
hiveView.setViewOriginalText(originQuery);
hiveView.setViewExpandedText(expandedQuery);
// set schema in SD
Schema schema = Schema.newBuilder().fromFields(new String[] { "i", "s" }, new AbstractDataType[] { DataTypes.INT(), DataTypes.STRING() }).build();
List<FieldSchema> fields = new ArrayList<>();
for (Schema.UnresolvedColumn column : schema.getColumns()) {
String name = column.getName();
DataType type = (DataType) ((Schema.UnresolvedPhysicalColumn) column).getDataType();
fields.add(new FieldSchema(name, HiveTypeUtil.toHiveTypeInfo(type, true).getTypeName(), null));
}
hiveView.getSd().setCols(fields);
// test mark as non-generic with is_generic
hiveView.getParameters().put(CatalogPropertiesUtil.IS_GENERIC, "false");
// add some other properties
hiveView.getParameters().put("k1", "v1");
((HiveCatalog) catalog).client.createTable(hiveView);
CatalogBaseTable baseTable = catalog.getTable(path1);
assertTrue(baseTable instanceof CatalogView);
CatalogView catalogView = (CatalogView) baseTable;
assertEquals(schema, catalogView.getUnresolvedSchema());
assertEquals(originQuery, catalogView.getOriginalQuery());
assertEquals(expandedQuery, catalogView.getExpandedQuery());
assertEquals("v1", catalogView.getOptions().get("k1"));
// test mark as non-generic with connector
hiveView.setDbName(path3.getDatabaseName());
hiveView.setTableName(path3.getObjectName());
hiveView.getParameters().remove(CatalogPropertiesUtil.IS_GENERIC);
hiveView.getParameters().put(CONNECTOR.key(), IDENTIFIER);
((HiveCatalog) catalog).client.createTable(hiveView);
baseTable = catalog.getTable(path3);
assertTrue(baseTable instanceof CatalogView);
catalogView = (CatalogView) baseTable;
assertEquals(schema, catalogView.getUnresolvedSchema());
assertEquals(originQuery, catalogView.getOriginalQuery());
assertEquals(expandedQuery, catalogView.getExpandedQuery());
assertEquals("v1", catalogView.getOptions().get("k1"));
}
use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by splunk.
the class HiveCatalog method getTable.
// ------ tables ------
@Override
public CatalogBaseTable getTable(ObjectPath tablePath) throws TableNotExistException, CatalogException {
checkNotNull(tablePath, "tablePath cannot be null");
Table hiveTable = getHiveTable(tablePath);
return instantiateCatalogTable(hiveTable);
}
use of org.apache.flink.table.catalog.CatalogBaseTable in project flink by splunk.
the class MySqlCatalogITCase method testGetTable.
@Test
public void testGetTable() throws TableNotExistException {
CatalogBaseTable table = catalog.getTable(new ObjectPath(TEST_DB, TEST_TABLE_ALL_TYPES));
assertEquals(TABLE_SCHEMA, table.getUnresolvedSchema());
}
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