Java tutorial
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See the License for the * specific language governing permissions and limitations * under the License. */ package org.apache.parquet.pig; import static org.junit.Assert.assertEquals; import java.io.File; import java.io.IOException; import java.util.List; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.mapreduce.InputFormat; import org.apache.hadoop.mapreduce.InputSplit; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.JobContext; import org.apache.hadoop.mapreduce.JobID; import org.apache.hadoop.mapreduce.OutputCommitter; import org.apache.hadoop.mapreduce.OutputFormat; import org.apache.hadoop.mapreduce.RecordReader; import org.apache.hadoop.mapreduce.RecordWriter; import org.apache.hadoop.mapreduce.TaskAttemptContext; import org.apache.hadoop.mapreduce.TaskAttemptID; import org.apache.pig.LoadFunc; import org.apache.pig.ResourceSchema; import org.apache.pig.StoreFuncInterface; import org.apache.pig.StoreMetadata; import org.apache.pig.backend.executionengine.ExecException; import org.apache.pig.data.Tuple; import org.apache.pig.data.TupleFactory; import org.apache.pig.impl.util.Utils; import org.apache.pig.parser.ParserException; import org.apache.parquet.Log; import org.apache.parquet.hadoop.util.ContextUtil; /** * * Uses directly loader and storer to bypass the scheduling overhead * * @author Julien Le Dem * */ public class PerfTest2 { static final int COLUMN_COUNT = 50; private static final long ROW_COUNT = 100000; private static Configuration conf = new Configuration(); private static int jobid = 0; public static void main(String[] args) throws Exception { StringBuilder results = new StringBuilder(); String out = "target/PerfTest2"; File outDir = new File(out); if (outDir.exists()) { clean(outDir); } write(out); for (int i = 0; i < 2; i++) { load(out, 1, results); load(out, 2, results); load(out, 3, results); load(out, 4, results); load(out, 5, results); load(out, 10, results); load(out, 20, results); load(out, 50, results); results.append("\n"); } System.out.println(results); } public static void write(String out) throws IOException, ParserException, InterruptedException, ExecException { { StringBuilder schemaString = new StringBuilder("a0: chararray"); for (int i = 1; i < COLUMN_COUNT; i++) { schemaString.append(", a" + i + ": chararray"); } String location = out; String schema = schemaString.toString(); StoreFuncInterface storer = new ParquetStorer(); Job job = new Job(conf); storer.setStoreFuncUDFContextSignature("sig"); String absPath = storer.relToAbsPathForStoreLocation(location, new Path(new File(".").getAbsoluteFile().toURI())); storer.setStoreLocation(absPath, job); storer.checkSchema(new ResourceSchema(Utils.getSchemaFromString(schema))); @SuppressWarnings("unchecked") // that's how the base class is defined OutputFormat<Void, Tuple> outputFormat = storer.getOutputFormat(); // it's ContextUtil.getConfiguration(job) and not just conf ! JobContext jobContext = ContextUtil.newJobContext(ContextUtil.getConfiguration(job), new JobID("jt", jobid++)); outputFormat.checkOutputSpecs(jobContext); if (schema != null) { ResourceSchema resourceSchema = new ResourceSchema(Utils.getSchemaFromString(schema)); storer.checkSchema(resourceSchema); if (storer instanceof StoreMetadata) { ((StoreMetadata) storer).storeSchema(resourceSchema, absPath, job); } } TaskAttemptContext taskAttemptContext = ContextUtil.newTaskAttemptContext( ContextUtil.getConfiguration(job), new TaskAttemptID("jt", jobid, true, 1, 0)); RecordWriter<Void, Tuple> recordWriter = outputFormat.getRecordWriter(taskAttemptContext); storer.prepareToWrite(recordWriter); for (int i = 0; i < ROW_COUNT; i++) { Tuple tuple = TupleFactory.getInstance().newTuple(COLUMN_COUNT); for (int j = 0; j < COLUMN_COUNT; j++) { tuple.set(j, "a" + i + "_" + j); } storer.putNext(tuple); } recordWriter.close(taskAttemptContext); OutputCommitter outputCommitter = outputFormat.getOutputCommitter(taskAttemptContext); outputCommitter.commitTask(taskAttemptContext); outputCommitter.commitJob(jobContext); } } static void clean(File outDir) { if (outDir.isDirectory()) { File[] listFiles = outDir.listFiles(); for (File file : listFiles) { clean(file); } } outDir.delete(); } static void load(String out, int colsToLoad, StringBuilder results) throws Exception { StringBuilder schemaString = new StringBuilder("a0: chararray"); for (int i = 1; i < colsToLoad; i++) { schemaString.append(", a" + i + ": chararray"); } long t0 = System.currentTimeMillis(); Job job = new Job(conf); int loadjobId = jobid++; LoadFunc loadFunc = new ParquetLoader(schemaString.toString()); loadFunc.setUDFContextSignature("sigLoader" + loadjobId); String absPath = loadFunc.relativeToAbsolutePath(out, new Path(new File(".").getAbsoluteFile().toURI())); loadFunc.setLocation(absPath, job); @SuppressWarnings("unchecked") // that's how the base class is defined InputFormat<Void, Tuple> inputFormat = loadFunc.getInputFormat(); JobContext jobContext = ContextUtil.newJobContext(ContextUtil.getConfiguration(job), new JobID("jt", loadjobId)); List<InputSplit> splits = inputFormat.getSplits(jobContext); int i = 0; int taskid = 0; for (InputSplit split : splits) { TaskAttemptContext taskAttemptContext = ContextUtil.newTaskAttemptContext( ContextUtil.getConfiguration(job), new TaskAttemptID("jt", loadjobId, true, taskid++, 0)); RecordReader<Void, Tuple> recordReader = inputFormat.createRecordReader(split, taskAttemptContext); loadFunc.prepareToRead(recordReader, null); recordReader.initialize(split, taskAttemptContext); Tuple t; while ((t = loadFunc.getNext()) != null) { if (Log.DEBUG) System.out.println(t); ++i; } } assertEquals(ROW_COUNT, i); long t1 = System.currentTimeMillis(); results.append((t1 - t0) + " ms to read " + colsToLoad + " columns\n"); } }