org.apache.spark.sql.sources.v2.reader.DataReader Java Examples
The following examples show how to use
org.apache.spark.sql.sources.v2.reader.DataReader.
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Example #1
Source File: HiveWarehouseDataReaderFactory.java From spark-llap with Apache License 2.0 | 6 votes |
@Override public DataReader<ColumnarBatch> createDataReader() { LlapInputSplit llapInputSplit = new LlapInputSplit(); ByteArrayInputStream splitByteArrayStream = new ByteArrayInputStream(splitBytes); ByteArrayInputStream confByteArrayStream = new ByteArrayInputStream(confBytes); JobConf conf = new JobConf(); try(DataInputStream splitByteData = new DataInputStream(splitByteArrayStream); DataInputStream confByteData = new DataInputStream(confByteArrayStream)) { llapInputSplit.readFields(splitByteData); conf.readFields(confByteData); return getDataReader(llapInputSplit, conf, arrowAllocatorMax); } catch (Exception e) { throw new RuntimeException(e); } }
Example #2
Source File: SimpleRowDataSource.java From spark-data-sources with MIT License | 5 votes |
@Override public DataReader<Row> createDataReader() { log.info("Factory creating reader for [" + _host + ":" + _port + "]" ); try { return new TaskDataReader(_host, _port); } catch (UnknownTableException ute) { throw new RuntimeException(ute); } }
Example #3
Source File: ParallelRowReadWriteDataSource.java From spark-data-sources with MIT License | 5 votes |
@Override public DataReader<Row> createDataReader() { log.info("Factory creating reader for [" + _host + ":" + _port + "]" ); try { return new TaskDataReader(_host, _port, _table, _schema, _split); } catch (UnknownTableException ute) { throw new RuntimeException(ute); } }
Example #4
Source File: FlexibleRowDataSource.java From spark-data-sources with MIT License | 5 votes |
@Override public DataReader<Row> createDataReader() { log.info("Factory creating reader for [" + _host + ":" + _port + "]" ); try { return new TaskDataReader(_host, _port, _table, _schema); } catch (UnknownTableException ute) { throw new RuntimeException(ute); } }
Example #5
Source File: ParallelRowDataSource.java From spark-data-sources with MIT License | 5 votes |
@Override public DataReader<Row> createDataReader() { log.info("Factory creating reader for [" + _host + ":" + _port + "]" ); try { return new TaskDataReader(_host, _port, _table, _schema, _split); } catch (UnknownTableException ute) { throw new RuntimeException(ute); } }
Example #6
Source File: PartitioningRowDataSource.java From spark-data-sources with MIT License | 5 votes |
@Override public DataReader<Row> createDataReader() { log.info("Factory creating reader for [" + _host + ":" + _port + "]" ); try { return new TaskDataReader(_host, _port, _table, _schema, _split); } catch (UnknownTableException ute) { throw new RuntimeException(ute); } }
Example #7
Source File: MockHiveWarehouseConnector.java From spark-llap with Apache License 2.0 | 5 votes |
@Override public DataReader<ColumnarBatch> createDataReader() { try { return getDataReader(null, new JobConf(), Long.MAX_VALUE); } catch (Exception e) { throw new RuntimeException(e); } }
Example #8
Source File: Reader.java From iceberg with Apache License 2.0 | 4 votes |
@Override public DataReader<UnsafeRow> createDataReader() { return new TaskDataReader(task, lazyTableSchema(), lazyExpectedSchema(), conf.value()); }
Example #9
Source File: CountDataReaderFactory.java From spark-llap with Apache License 2.0 | 4 votes |
@Override public DataReader<ColumnarBatch> createDataReader() { return new CountDataReader(numRows); }
Example #10
Source File: HiveWarehouseDataReaderFactory.java From spark-llap with Apache License 2.0 | 4 votes |
protected DataReader<ColumnarBatch> getDataReader(LlapInputSplit split, JobConf jobConf, long arrowAllocatorMax) throws Exception { return new HiveWarehouseDataReader(split, jobConf, arrowAllocatorMax); }
Example #11
Source File: SimpleMockConnector.java From spark-llap with Apache License 2.0 | 4 votes |
@Override public DataReader<Row> createDataReader() { return new SimpleMockDataReader(); }
Example #12
Source File: MockHiveWarehouseConnector.java From spark-llap with Apache License 2.0 | 4 votes |
@Override protected DataReader<ColumnarBatch> getDataReader(LlapInputSplit split, JobConf jobConf, long arrowAllocatorMax) throws Exception { return new MockHiveWarehouseDataReader(split, jobConf, arrowAllocatorMax); }