Java tutorial
/* * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, * software distributed under the License is distributed on an * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY * KIND, either express or implied. See the License for the * specific language governing permissions and limitations * under the License. */ package org.apache.parquet.cli.commands; import com.beust.jcommander.Parameter; import com.beust.jcommander.Parameters; import com.google.common.base.Preconditions; import com.google.common.collect.Lists; import com.google.common.io.Closeables; import org.apache.avro.Schema; import org.apache.avro.file.CodecFactory; import org.apache.avro.file.DataFileWriter; import org.apache.avro.generic.GenericDatumWriter; import org.apache.avro.io.DatumWriter; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.parquet.cli.BaseCommand; import org.apache.parquet.cli.util.Codecs; import org.apache.parquet.cli.util.Schemas; import org.slf4j.Logger; import java.io.Closeable; import java.io.IOException; import java.util.List; import static org.apache.avro.generic.GenericData.Record; import static org.apache.parquet.cli.util.Expressions.filterSchema; @Parameters(commandDescription = "Create an Avro file from a data file") public class ToAvroCommand extends BaseCommand { public ToAvroCommand(Logger console) { super(console); } @Parameter(description = "<file>") List<String> targets; @Parameter(names = { "-o", "--output" }, description = "Output file path", required = true) String outputPath = null; @Parameter(names = { "-s", "--schema" }, description = "The file containing an Avro schema for the output file") String avroSchemaFile; @Parameter(names = { "-c", "--column", "--columns" }, description = "List of columns") List<String> columns; @Parameter(names = { "--compression-codec" }, description = "A compression codec name.") String compressionCodecName = "GZIP"; @Parameter(names = { "--overwrite" }, description = "Overwrite the output file if it exists") boolean overwrite = false; @Override @SuppressWarnings("unchecked") public int run() throws IOException { Preconditions.checkArgument(targets != null && targets.size() == 1, "A data file is required."); String source = targets.get(0); CodecFactory codecFactory = Codecs.avroCodec(compressionCodecName); Schema schema; if (avroSchemaFile != null) { schema = Schemas.fromAvsc(open(avroSchemaFile)); } else { schema = getAvroSchema(source); } Schema projection = filterSchema(schema, columns); Path outPath = qualifiedPath(outputPath); FileSystem outFS = outPath.getFileSystem(getConf()); if (overwrite && outFS.exists(outPath)) { console.debug("Deleting output file {} (already exists)", outPath); outFS.delete(outPath); } Iterable<Record> reader = openDataFile(source, projection); boolean threw = true; long count = 0; try { DatumWriter<Record> datumWriter = new GenericDatumWriter<>(schema); DataFileWriter<Record> w = new DataFileWriter<>(datumWriter); w.setCodec(codecFactory); try (DataFileWriter<Record> writer = w.create(projection, create(outputPath))) { for (Record record : reader) { writer.append(record); count += 1; } } threw = false; } catch (RuntimeException e) { throw new RuntimeException("Failed on record " + count, e); } finally { if (reader instanceof Closeable) { Closeables.close((Closeable) reader, threw); } } return 0; } @Override public List<String> getExamples() { return Lists.newArrayList("# Create an Avro file from a Parquet file", "sample.parquet sample.avro", "# Create an Avro file in HDFS from a local JSON file", "path/to/sample.json hdfs:/user/me/sample.parquet", "# Create an Avro file from data in S3", "s3:/data/path/sample.parquet sample.avro"); } }