com.github.dryangkun.hbase.tidx.hive.HiveHBaseTableSnapshotInputFormat.java Source code

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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.github.dryangkun.hbase.tidx.hive;

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapred.TableInputFormat;
import org.apache.hadoop.hbase.mapred.TableSnapshotInputFormat;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.InputFormat;
import org.apache.hadoop.mapred.InputSplit;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RecordReader;
import org.apache.hadoop.mapred.Reporter;

import java.io.IOException;
import java.util.List;

public class HiveHBaseTableSnapshotInputFormat implements InputFormat<ImmutableBytesWritable, ResultWritable> {

    TableSnapshotInputFormat delegate = new TableSnapshotInputFormat();

    private static void setColumns(JobConf job) throws IOException {
        // hbase mapred API doesn't support scan at the moment.
        Scan scan = HiveHBaseInputFormatUtil.getScan(job);
        byte[][] families = scan.getFamilies();
        StringBuilder sb = new StringBuilder();
        for (int i = 0; i < families.length; i++) {
            if (i > 0)
                sb.append(" ");
            sb.append(Bytes.toString(families[i]));
        }
        job.set(TableInputFormat.COLUMN_LIST, sb.toString());
    }

    @Override
    public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException {
        setColumns(job);

        // hive depends on FileSplits, so wrap in HBaseSplit
        Path[] tablePaths = FileInputFormat.getInputPaths(job);

        InputSplit[] results = delegate.getSplits(job, numSplits);
        for (int i = 0; i < results.length; i++) {
            results[i] = new HBaseSplit(results[i], tablePaths[0]);
        }

        return results;
    }

    @Override
    public RecordReader<ImmutableBytesWritable, ResultWritable> getRecordReader(InputSplit split, JobConf job,
            Reporter reporter) throws IOException {
        setColumns(job);
        final RecordReader<ImmutableBytesWritable, Result> rr = delegate
                .getRecordReader(((HBaseSplit) split).getSnapshotSplit(), job, reporter);

        return new RecordReader<ImmutableBytesWritable, ResultWritable>() {
            @Override
            public boolean next(ImmutableBytesWritable key, ResultWritable value) throws IOException {
                return rr.next(key, value.getResult());
            }

            @Override
            public ImmutableBytesWritable createKey() {
                return rr.createKey();
            }

            @Override
            public ResultWritable createValue() {
                return new ResultWritable(rr.createValue());
            }

            @Override
            public long getPos() throws IOException {
                return rr.getPos();
            }

            @Override
            public void close() throws IOException {
                rr.close();
            }

            @Override
            public float getProgress() throws IOException {
                return rr.getProgress();
            }
        };
    }
}