/**
 * 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.hcatalog.mapreduce;

import junit.framework.Assert;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.serde2.thrift.test.IntString;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hcatalog.common.HCatConstants;
import org.apache.hcatalog.data.HCatRecord;
import org.apache.thrift.protocol.TBinaryProtocol;
import org.apache.thrift.transport.TIOStreamTransport;
import org.junit.Before;
import org.junit.Test;

import java.io.ByteArrayOutputStream;
import java.io.IOException;

public class TestHCatInputFormat extends HCatBaseTest {

    private boolean setUpComplete = false;

    /**
     * Create an input sequence file with 100 records; every 10th record is bad.
     * Load this table into Hive.
     */
    @Before
    @Override
    public void setUp() throws Exception {
        super.setUp();
        if (setUpComplete) {
            return;
        }

        Path intStringSeq = new Path(TEST_DATA_DIR + "/data/intString.seq");
        LOG.info("Creating data file: " + intStringSeq);
        SequenceFile.Writer seqFileWriter = SequenceFile.createWriter(
            intStringSeq.getFileSystem(hiveConf), hiveConf, intStringSeq,
            NullWritable.class, BytesWritable.class);

        ByteArrayOutputStream out = new ByteArrayOutputStream();
        TIOStreamTransport transport = new TIOStreamTransport(out);
        TBinaryProtocol protocol = new TBinaryProtocol(transport);

        for (int i = 1; i <= 100; i++) {
            if (i % 10 == 0) {
                seqFileWriter.append(NullWritable.get(), new BytesWritable("bad record".getBytes()));
            } else {
                out.reset();
                IntString intString = new IntString(i, Integer.toString(i), i);
                intString.write(protocol);
                BytesWritable bytesWritable = new BytesWritable(out.toByteArray());
                seqFileWriter.append(NullWritable.get(), bytesWritable);
            }
        }

        seqFileWriter.close();

        // Now let's load this file into a new Hive table.
        Assert.assertEquals(0, driver.run("drop table if exists test_bad_records").getResponseCode());
        Assert.assertEquals(0, driver.run(
            "create table test_bad_records " +
                "row format serde 'org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer' " +
                "with serdeproperties ( " +
                "  'serialization.class'='org.apache.hadoop.hive.serde2.thrift.test.IntString', " +
                "  'serialization.format'='org.apache.thrift.protocol.TBinaryProtocol') " +
                "stored as" +
                "  inputformat 'org.apache.hadoop.mapred.SequenceFileInputFormat'" +
                "  outputformat 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'")
            .getResponseCode());
        Assert.assertEquals(0, driver.run("load data local inpath '" + intStringSeq.getParent() +
            "' into table test_bad_records").getResponseCode());

        setUpComplete = true;
    }

    @Test
    public void testBadRecordHandlingPasses() throws Exception {
        Assert.assertTrue(runJob(0.1f));
    }

    @Test
    public void testBadRecordHandlingFails() throws Exception {
        Assert.assertFalse(runJob(0.01f));
    }

    private boolean runJob(float badRecordThreshold) throws Exception {
        Configuration conf = new Configuration();

        conf.setFloat(HCatConstants.HCAT_INPUT_BAD_RECORD_THRESHOLD_KEY, badRecordThreshold);

        Job job = new Job(conf);
        job.setJarByClass(this.getClass());
        job.setMapperClass(MyMapper.class);

        job.setInputFormatClass(HCatInputFormat.class);
        job.setOutputFormatClass(TextOutputFormat.class);

        HCatInputFormat.setInput(job, InputJobInfo.create("default", "test_bad_records", null));

        job.setMapOutputKeyClass(HCatRecord.class);
        job.setMapOutputValueClass(HCatRecord.class);

        job.setNumReduceTasks(0);

        Path path = new Path(TEST_DATA_DIR, "test_bad_record_handling_output");
        if (path.getFileSystem(conf).exists(path)) {
            path.getFileSystem(conf).delete(path, true);
        }

        TextOutputFormat.setOutputPath(job, path);

        return job.waitForCompletion(true);
    }

    public static class MyMapper extends Mapper<NullWritable, HCatRecord, NullWritable, Text> {
        @Override
        public void map(NullWritable key, HCatRecord value, Context context)
            throws IOException, InterruptedException {
            LOG.info("HCatRecord: " + value);
            context.write(NullWritable.get(), new Text(value.toString()));
        }
    }
}