Examples with HDFS_ENVIRONMENT com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT used on opensource projects

Example 1 with HDFS_ENVIRONMENT

use of com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT in project presto by prestodb.

the class TestHiveFileFormats method testRcBinaryPageSource.

@Test(dataProvider = "rowCount")
public void testRcBinaryPageSource(int rowCount) throws Exception {
    // RCBinary does not support complex type as key of a map and interprets empty VARCHAR as nulls
    List<TestColumn> testColumns = TEST_COLUMNS.stream().filter(testColumn -> !testColumn.getName().equals("t_empty_varchar")).collect(toList());
    assertThatFileFormat(RCBINARY).withColumns(testColumns).withRowsCount(rowCount).isReadableByPageSource(new RcFilePageSourceFactory(FUNCTION_AND_TYPE_MANAGER, HDFS_ENVIRONMENT, STATS));
}

Example 2 with HDFS_ENVIRONMENT

use of com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT in project presto by prestodb.

the class TestHiveFileFormats method testDwrfOptimizedWriter.

@Test(dataProvider = "rowCount")
public void testDwrfOptimizedWriter(int rowCount) throws Exception {
    TestingConnectorSession session = new TestingConnectorSession(new HiveSessionProperties(new HiveClientConfig().setOrcOptimizedWriterEnabled(true).setOrcWriterValidationPercentage(100.0), new OrcFileWriterConfig(), new ParquetFileWriterConfig(), new CacheConfig()).getSessionProperties());
    // DWRF does not support modern Hive types
    // A Presto page can not contain a map with null keys, so a page based writer can not write null keys
    List<TestColumn> testColumns = TEST_COLUMNS.stream().filter(testColumn -> !hasType(testColumn.getObjectInspector(), PrimitiveCategory.DATE, PrimitiveCategory.VARCHAR, PrimitiveCategory.CHAR, PrimitiveCategory.DECIMAL)).filter(testColumn -> !testColumn.getName().equals("t_map_null_key") && !testColumn.getName().equals("t_map_null_key_complex_value") && !testColumn.getName().equals("t_map_null_key_complex_key_value")).collect(toList());
    assertThatFileFormat(DWRF).withColumns(testColumns).withRowsCount(rowCount).withSession(session).withFileWriterFactory(new OrcFileWriterFactory(HDFS_ENVIRONMENT, new OutputStreamDataSinkFactory(), FUNCTION_AND_TYPE_MANAGER, new NodeVersion("test"), HIVE_STORAGE_TIME_ZONE, STATS, new OrcFileWriterConfig(), NO_ENCRYPTION)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT)).isReadableByPageSource(new DwrfBatchPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, HIVE_CLIENT_CONFIG, HDFS_ENVIRONMENT, STATS, new StorageOrcFileTailSource(), StripeMetadataSourceFactory.of(new StorageStripeMetadataSource()), NO_ENCRYPTION));
}

Example 3 with HDFS_ENVIRONMENT

use of com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT in project presto by prestodb.

the class TestHiveFileFormats method testOrcOptimizedWriter.

@Test(dataProvider = "rowCount")
public void testOrcOptimizedWriter(int rowCount) throws Exception {
    TestingConnectorSession session = new TestingConnectorSession(new HiveSessionProperties(new HiveClientConfig().setOrcOptimizedWriterEnabled(true).setOrcWriterValidationPercentage(100.0), new OrcFileWriterConfig(), new ParquetFileWriterConfig(), new CacheConfig()).getSessionProperties());
    // A Presto page can not contain a map with null keys, so a page based writer can not write null keys
    List<TestColumn> testColumns = TEST_COLUMNS.stream().filter(testColumn -> !testColumn.getName().equals("t_map_null_key") && !testColumn.getName().equals("t_map_null_key_complex_value") && !testColumn.getName().equals("t_map_null_key_complex_key_value")).collect(toList());
    assertThatFileFormat(ORC).withColumns(testColumns).withRowsCount(rowCount).withSession(session).withFileWriterFactory(new OrcFileWriterFactory(HDFS_ENVIRONMENT, new OutputStreamDataSinkFactory(), FUNCTION_AND_TYPE_MANAGER, new NodeVersion("test"), HIVE_STORAGE_TIME_ZONE, STATS, new OrcFileWriterConfig(), NO_ENCRYPTION)).isReadableByRecordCursor(new GenericHiveRecordCursorProvider(HDFS_ENVIRONMENT)).isReadableByPageSource(new OrcBatchPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, false, HDFS_ENVIRONMENT, STATS, 100, new StorageOrcFileTailSource(), StripeMetadataSourceFactory.of(new StorageStripeMetadataSource())));
}

Example 4 with HDFS_ENVIRONMENT

use of com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT in project presto by prestodb.

the class TestHiveFileFormats method testParquetPageSourceSchemaEvolution.

@Test(dataProvider = "rowCount")
public void testParquetPageSourceSchemaEvolution(int rowCount) throws Exception {
    List<TestColumn> writeColumns = getTestColumnsSupportedByParquet();
    // test index-based access
    List<TestColumn> readColumns = writeColumns.stream().map(column -> new TestColumn(column.getName() + "_new", column.getObjectInspector(), column.getWriteValue(), column.getExpectedValue(), column.isPartitionKey())).collect(toList());
    assertThatFileFormat(PARQUET).withWriteColumns(writeColumns).withReadColumns(readColumns).withSession(parquetPageSourceSession).withRowsCount(rowCount).isReadableByPageSource(new ParquetPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, HDFS_ENVIRONMENT, STATS, METADATA_READER));
    // test name-based access
    readColumns = Lists.reverse(writeColumns);
    assertThatFileFormat(PARQUET).withWriteColumns(writeColumns).withReadColumns(readColumns).withSession(parquetPageSourceSessionUseName).isReadableByPageSource(new ParquetPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, HDFS_ENVIRONMENT, STATS, METADATA_READER));
}

Example 5 with HDFS_ENVIRONMENT

use of com.facebook.presto.hive.HiveTestUtils.HDFS_ENVIRONMENT in project presto by prestodb.

the class TestHiveFileFormats method testOptimizedParquetWriter.

@Test(dataProvider = "rowCount")
public void testOptimizedParquetWriter(int rowCount) throws Exception {
    TestingConnectorSession session = new TestingConnectorSession(new HiveSessionProperties(new HiveClientConfig().setOrcOptimizedWriterEnabled(true).setOrcWriterValidationPercentage(100.0), new OrcFileWriterConfig(), new ParquetFileWriterConfig().setParquetOptimizedWriterEnabled(true), new CacheConfig()).getSessionProperties());
    // A Presto page can not contain a map with null keys, so a page based writer can not write null keys
    List<TestColumn> testColumns = TEST_COLUMNS.stream().filter(testColumn -> !testColumn.getName().equals("t_map_null_key") && !testColumn.getName().equals("t_map_null_key_complex_value") && !testColumn.getName().equals("t_map_null_key_complex_key_value")).collect(toList());
    assertThatFileFormat(PARQUET).withSession(session).withColumns(testColumns).withRowsCount(rowCount).withFileWriterFactory(new ParquetFileWriterFactory(HDFS_ENVIRONMENT, FUNCTION_AND_TYPE_MANAGER, new NodeVersion("test"), HIVE_STORAGE_TIME_ZONE)).isReadableByPageSource(new ParquetPageSourceFactory(FUNCTION_AND_TYPE_MANAGER, FUNCTION_RESOLUTION, HDFS_ENVIRONMENT, STATS, METADATA_READER));
}