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* 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 com.facebook.giraph.hive.tailer;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import com.facebook.giraph.hive.common.HadoopNative;
import com.facebook.giraph.hive.common.HiveMetastores;
import com.facebook.giraph.hive.common.HiveStats;
import com.facebook.giraph.hive.common.HiveTableName;
import com.facebook.giraph.hive.common.HiveUtils;
import com.facebook.giraph.hive.input.HiveApiInputFormat;
import com.facebook.giraph.hive.input.HiveInputDescription;
import com.facebook.giraph.hive.record.HiveReadableRecord;
import com.facebook.giraph.hive.schema.HiveTableSchema;
import com.facebook.giraph.hive.schema.HiveTableSchemas;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.collect.Lists;
import com.google.common.collect.Queues;
import com.google.common.util.concurrent.Uninterruptibles;
import com.sampullara.cli.Args;
import java.io.File;
import java.io.IOException;
import java.util.Collections;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.Callable;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.FutureTask;
import java.util.concurrent.RunnableFuture;
import static com.facebook.giraph.hive.input.HiveApiInputFormat.DEFAULT_PROFILE_ID;
import static com.facebook.giraph.hive.input.HiveApiInputFormat.LOG;
public class Tailer {
private static class Context {
public Queue<InputSplit> splitsQueue;
public HiveApiInputFormat hiveApiInputFormat;
public HiveConf hiveConf;
public HiveTableSchema schema;
public HiveStats hiveStats;
public Opts opts;
public Stats stats;
private Context(HiveApiInputFormat hiveApiInputFormat, HiveConf hiveConf,
HiveTableSchema schema, HiveStats hiveStats, Opts opts, Stats stats) {
this.hiveApiInputFormat = hiveApiInputFormat;
this.hiveConf = hiveConf;
this.schema = schema;
this.hiveStats = hiveStats;
this.opts = opts;
this.stats = stats;
}
}
public static void main(String[] args) throws Exception {
Opts opts = new Opts();
try {
Args.parse(opts, args);
} catch (IllegalArgumentException e) {
System.err.println(e.getMessage());
Args.usage(opts);
return;
}
if (opts.help) {
Args.usage(opts);
return;
}
opts.process();
HadoopNative.requireHadoopNative();
HostPort metastoreHostPort = getHostPort(opts);
if (metastoreHostPort == null) {
return;
}
ThriftHiveMetastore.Iface client = HiveMetastores.create(metastoreHostPort.host,
metastoreHostPort.port);
HiveInputDescription inputDesc = new HiveInputDescription();
inputDesc.setDbName(opts.database);
inputDesc.setTableName(opts.table);
inputDesc.setPartitionFilter(opts.partitionFilter);
if (opts.requestNumSplits == 0) {
opts.requestNumSplits = opts.threads * opts.requestSplitsPerThread;
}
inputDesc.setNumSplits(opts.requestNumSplits);
HiveStats hiveStats = HiveUtils.statsOf(client, inputDesc);
System.err.println(hiveStats);
HiveConf hiveConf = new HiveConf(Tailer.class);
HiveApiInputFormat.setProfileInputDesc(hiveConf, inputDesc, DEFAULT_PROFILE_ID);
HiveApiInputFormat hapi = new HiveApiInputFormat();
hapi.setMyProfileId(DEFAULT_PROFILE_ID);
List<InputSplit> splits = hapi.getSplits(hiveConf, client);
System.err.println("Have " + splits.size() + " splits to read");
HiveTableName hiveTableName = new HiveTableName(opts.database, opts.table);
HiveTableSchema schema = HiveTableSchemas.lookup(client, hiveTableName);
Stats stats = new Stats();
Context context = new Context(hapi, hiveConf, schema, hiveStats, opts, stats);
long startNanos = System.nanoTime();
if (opts.threads == 1) {
context.splitsQueue = Queues.newArrayDeque(splits);
stats.numRows = readSplits(context);
} else {
context.splitsQueue = Queues.newConcurrentLinkedQueue(splits);
stats.numRows = multiThreaded(context, opts.threads);
}
stats.timeNanos = System.nanoTime() - startNanos;
stats.printEnd(hiveStats);
}
private static long multiThreaded(final Context context, int numThreads)
{
List<Future<Long>> futures = Lists.newArrayList();
List<Thread> threads = Lists.newArrayList();
for (int i = 0; i < numThreads; ++i) {
RunnableFuture<Long> future = new FutureTask(new Callable<Long>() {
@Override public Long call() throws Exception {
return readSplits(context);
}
});
Thread thread = new Thread(future);
thread.setName("readSplit-" + i);
thread.start();
futures.add(future);
threads.add(thread);
}
long numRows = 0;
for (int i = 0; i < threads.size(); ++i) {
Uninterruptibles.joinUninterruptibly(threads.get(i));
try {
numRows += Uninterruptibles.getUninterruptibly(futures.get(i));
} catch (ExecutionException e) {
LOG.error("Could not get future " + i + " numRows");
}
}
return numRows;
}
private static long readSplits(Context context)
{
long totalRows = 0;
while (!context.splitsQueue.isEmpty()) {
InputSplit split = context.splitsQueue.poll();
try {
totalRows += readSplit(split, context);
} catch (Exception e) {
System.err.println("Failed to read split " + split);
e.printStackTrace();
}
}
return totalRows;
}
private static long readSplit(InputSplit split, Context context)
throws IOException, InterruptedException
{
long numRows = 0;
TaskAttemptID taskId = new TaskAttemptID();
TaskAttemptContext taskContext = new TaskAttemptContext(context.hiveConf, taskId);
RecordReader<WritableComparable, HiveReadableRecord> recordReader;
recordReader = context.hiveApiInputFormat.createRecordReader(split, taskContext);
recordReader.initialize(split, taskContext);
String[] values = new String[context.schema.numColumns()];
while (recordReader.nextKeyValue()) {
HiveReadableRecord record = recordReader.getCurrentValue();
printRecord(record, context.schema.numColumns(), context.opts, values);
++numRows;
if (numRows % context.opts.metricsUpdatePeriodRows == 0) {
context.stats.addRows(context.hiveStats, context.opts.metricsUpdatePeriodRows);
}
}
return numRows;
}
private static void printRecord(HiveReadableRecord record, int numColumns,
Opts opts, String[] values)
{
for (int index = 0; index < numColumns; ++index) {
values[index] = String.valueOf(record.get(index));
}
System.out.println(opts.joiner.join(values));
}
private static HostPort getHostPort(Opts opts) throws IOException {
HostPort metastoreHostPort = new HostPort();
metastoreHostPort.port = opts.metastorePort;
if (opts.metastoreHost != null) {
metastoreHostPort.host = opts.metastoreHost;
}
if (metastoreHostPort.host == null && opts.cluster != null) {
ClusterData clustersData = new ClusterData();
if (opts.clustersFile == null) {
System.err.println("ERROR: Cluster file not given");
Args.usage(opts);
return null;
}
if (opts.clustersFile != null) {
ObjectMapper objectMapper = new ObjectMapper();
File file = new File(opts.clustersFile);
clustersData = objectMapper.readValue(file, ClusterData.class);
}
List<HostPort> hostAndPorts = clustersData.data.get(opts.cluster);
if (hostAndPorts == null) {
System.err.println("Cluster " + opts.cluster +
" not found in data file " + opts.clustersFile);
return null;
}
Collections.shuffle(hostAndPorts);
metastoreHostPort = hostAndPorts.get(0);
}
return metastoreHostPort;
}
}