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Enabled deletes in merge_on_read

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This commit is contained in:
Nishith Agarwal
2017-07-07 12:50:01 -07:00
committed by vinoth chandar
parent cf1dde0323
commit 616c9a68c3
6 changed files with 275 additions and 13 deletions
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98
hoodie-client/src/test/java/com/uber/hoodie/common/HoodieMergeOnReadTestUtils.java Normal file
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/*
* Copyright (c) 2016 Uber Technologies, Inc. (hoodie-dev-group@uber.com)
*
* Licensed 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 com.uber.hoodie.common;
import com.uber.hoodie.common.util.FSUtils;
import com.uber.hoodie.common.util.HoodieAvroUtils;
import com.uber.hoodie.hadoop.realtime.HoodieRealtimeInputFormat;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.generic.GenericRecordBuilder;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.serde2.ColumnProjectionUtils;
import org.apache.hadoop.io.ArrayWritable;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RecordReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import static com.uber.hoodie.common.HoodieTestDataGenerator.TRIP_EXAMPLE_SCHEMA;
/**
* Utility methods to aid in testing MergeOnRead (workaround for HoodieReadClient for MOR)
*/
public class HoodieMergeOnReadTestUtils {
public static List<GenericRecord> getRecordsUsingInputFormat(List<String> inputPaths) throws IOException {
JobConf jobConf = new JobConf();
Schema schema = HoodieAvroUtils.addMetadataFields(Schema.parse(TRIP_EXAMPLE_SCHEMA));
HoodieRealtimeInputFormat inputFormat = new HoodieRealtimeInputFormat();
setPropsForInputFormat(inputFormat, jobConf, schema);
return inputPaths.stream().map(path -> {
setInputPath(jobConf, path);
List<GenericRecord> records = new ArrayList<>();
try {
List<InputSplit> splits = Arrays.asList(inputFormat.getSplits(jobConf, 1));
RecordReader recordReader = inputFormat.getRecordReader(splits.get(0), jobConf, null);
Void key = (Void) recordReader.createKey();
ArrayWritable writable = (ArrayWritable) recordReader.createValue();
while (recordReader.next(key, writable)) {
GenericRecordBuilder newRecord = new GenericRecordBuilder(schema);
// writable returns an array with [field1, field2, _hoodie_commit_time, _hoodie_commit_seqno]
Writable[] values = writable.get();
schema.getFields().forEach(field -> {
newRecord.set(field, values[2]);
});
records.add(newRecord.build());
}
} catch (IOException ie) {
ie.printStackTrace();
}
return records;
}).reduce((a, b) -> {
a.addAll(b);
return a;
}).get();
}
private static void setPropsForInputFormat(HoodieRealtimeInputFormat inputFormat, JobConf jobConf, Schema schema) {
List<Schema.Field> fields = schema.getFields();
String names = fields.stream().map(f -> f.name().toString()).collect(Collectors.joining(","));
String postions = fields.stream().map(f -> String.valueOf(f.pos())).collect(Collectors.joining(","));
Configuration conf = FSUtils.getFs().getConf();
jobConf.set(ColumnProjectionUtils.READ_COLUMN_NAMES_CONF_STR, names);
jobConf.set(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR, postions);
jobConf.set("partition_columns", "datestr");
conf.set(ColumnProjectionUtils.READ_COLUMN_NAMES_CONF_STR, names);
conf.set(ColumnProjectionUtils.READ_COLUMN_IDS_CONF_STR, postions);
conf.set("partition_columns", "datestr");
inputFormat.setConf(conf);
jobConf.addResource(conf);
}
private static void setInputPath(JobConf jobConf, String inputPath) {
jobConf.set("mapreduce.input.fileinputformat.inputdir", inputPath);
jobConf.set("mapreduce.input.fileinputformat.inputdir", inputPath);
jobConf.set("map.input.dir", inputPath);
}
}