Java Code Examples for org.apache.hadoop.hive.ql.io.parquet.convert.HiveSchemaConverter#convert()
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org.apache.hadoop.hive.ql.io.parquet.convert.HiveSchemaConverter#convert() .
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Example 1
Source File: ExaParquetWriterImpl.java From hadoop-etl-udfs with MIT License | 6 votes |
public ExaParquetWriterImpl(final List<String> colNames, final List<TypeInfo> colTypes, final Configuration conf, final Path path, final String compressionType, final ExaIterator exa, final int firstColumnIndex, final List<Integer> dynamicPartitionExaColNums) throws Exception { this(HiveSchemaConverter.convert(colNames, colTypes), colNames.size(), conf, path, compressionType, exa, firstColumnIndex, dynamicPartitionExaColNums); }
Example 2
Source File: ExaParquetWriterImpl.java From hadoop-etl-udfs with MIT License | 6 votes |
public ExaParquetWriterImpl(final List<String> colNames, final List<TypeInfo> colTypes, final Configuration conf, final Path path, final String compressionType, final ExaIterator exa, final int firstColumnIndex, final List<Integer> dynamicPartitionExaColNums) throws Exception { this(HiveSchemaConverter.convert(colNames, colTypes), colNames.size(), conf, path, compressionType, exa, firstColumnIndex, dynamicPartitionExaColNums); }
Example 3
Source File: TestHiveSchemaConverter.java From parquet-mr with Apache License 2.0 | 6 votes |
@Test public void testMapOriginalType() throws Exception { final String hiveColumnTypes = "map<string,string>"; final String hiveColumnNames = "mapCol"; final List<String> columnNames = createHiveColumnsFrom(hiveColumnNames); final List<TypeInfo> columnTypes = createHiveTypeInfoFrom(hiveColumnTypes); final MessageType messageTypeFound = HiveSchemaConverter.convert(columnNames, columnTypes); // this messageType only has one optional field, whose name is mapCol, original Type is MAP assertEquals(1, messageTypeFound.getFieldCount()); org.apache.parquet.schema.Type topLevel = messageTypeFound.getFields().get(0); assertEquals("mapCol",topLevel.getName()); assertEquals(OriginalType.MAP, topLevel.getOriginalType()); assertEquals(Repetition.OPTIONAL, topLevel.getRepetition()); assertEquals(1, topLevel.asGroupType().getFieldCount()); org.apache.parquet.schema.Type secondLevel = topLevel.asGroupType().getFields().get(0); //there is one repeated field for mapCol, the field name is "map" and its original Type is MAP_KEY_VALUE; assertEquals("map", secondLevel.getName()); assertEquals(OriginalType.MAP_KEY_VALUE, secondLevel.getOriginalType()); assertEquals(Repetition.REPEATED, secondLevel.getRepetition()); }
Example 4
Source File: ParquetRecordWriterUtil.java From presto with Apache License 2.0 | 5 votes |
private static RecordWriter createParquetWriter(Path target, JobConf conf, Properties properties) throws IOException { if (conf.get(DataWritableWriteSupport.PARQUET_HIVE_SCHEMA) == null) { List<String> columnNames = Splitter.on(',').splitToList(properties.getProperty(IOConstants.COLUMNS)); List<TypeInfo> columnTypes = getTypeInfosFromTypeString(properties.getProperty(IOConstants.COLUMNS_TYPES)); MessageType schema = HiveSchemaConverter.convert(columnNames, columnTypes); setParquetSchema(conf, schema); } ParquetOutputFormat<ParquetHiveRecord> outputFormat = new ParquetOutputFormat<>(new DataWritableWriteSupport()); return new ParquetRecordWriterWrapper(outputFormat, conf, target.toString(), Reporter.NULL, properties); }
Example 5
Source File: TestHiveSchemaConverter.java From parquet-mr with Apache License 2.0 | 5 votes |
private void testConversion(final String columnNamesStr, final String columnsTypeStr, final String expectedSchema) throws Exception { final List<String> columnNames = createHiveColumnsFrom(columnNamesStr); final List<TypeInfo> columnTypes = createHiveTypeInfoFrom(columnsTypeStr); final MessageType messageTypeFound = HiveSchemaConverter.convert(columnNames, columnTypes); final MessageType expectedMT = MessageTypeParser.parseMessageType(expectedSchema); assertEquals("converting " + columnNamesStr + ": " + columnsTypeStr + " to " + expectedSchema, expectedMT, messageTypeFound); }