/**
 * 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.utils;

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Random;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.util.GenericOptionsParser;
import org.apache.hcatalog.common.HCatConstants;
import org.apache.hcatalog.data.DefaultHCatRecord;
import org.apache.hcatalog.data.HCatRecord;
import org.apache.hcatalog.data.schema.HCatFieldSchema;
import org.apache.hcatalog.data.schema.HCatSchema;
import org.apache.hcatalog.mapreduce.HCatInputFormat;
import org.apache.hcatalog.mapreduce.HCatOutputFormat;
import org.apache.hcatalog.mapreduce.InputJobInfo;
import org.apache.hcatalog.mapreduce.OutputJobInfo;

/**
 * This is a map reduce test for testing hcat which goes against the "numbers"
 * table and writes data to another table. It reads data from numbers which
 * is an unpartitioned table and adds 10 to each field. It stores the result into
 * the datestamp='20100101' partition of the numbers_part_empty_initially table if the second
 * command line arg is "part". If the second cmdline arg is "nopart" then the
 * result is stored into the 'numbers_nopart_empty_initially' (unpartitioned) table.
 * If the second cmdline arg is "nopart_pig", then the result is stored into the
 * 'numbers_nopart_pig_empty_initially' (unpartitioned) table with the tinyint
 * and smallint columns in "numbers" being stored as "int" (since pig cannot handle
 * tinyint and smallint)
 *
 * Usage: hadoop jar storenumbers <serveruri> <part|nopart|nopart_pig> <-libjars hive-hcat jar>
 If the second argument is "part" data is written to datestamp = '2010101' partition of the numbers_part_empty_initially table.
 If the second argument is "nopart", data is written to the unpartitioned numbers_nopart_empty_initially table.
 If the second argument is "nopart_pig", data is written to the unpartitioned numbers_nopart_pig_empty_initially table.
 The hcat jar location should be specified as file://<full path to jar>
 */
public class StoreNumbers {

    private static final String NUMBERS_PARTITIONED_TABLE_NAME = "numbers_part_empty_initially";
    private static final String NUMBERS_TABLE_NAME = "numbers";
    private static final String NUMBERS_NON_PARTITIONED_TABLE_NAME = "numbers_nopart_empty_initially";
    private static final String NUMBERS_NON_PARTITIONED_PIG_TABLE_NAME = "numbers_nopart_pig_empty_initially";
    private static final String IS_PIG_NON_PART_TABLE = "is.pig.non.part.table";

    public static class SumMapper
        extends Mapper<WritableComparable, HCatRecord, WritableComparable, HCatRecord> {

        Integer intnum1000;
        // though id is given as a Short by hcat, the map will emit it as an
        // IntWritable so we can just sum in the reduce
        Short id;

        // though intnum5 is handed as a Byte by hcat, the map() will emit it as
        // an IntWritable so we can just sum in the reduce
        Byte intnum5;
        Integer intnum100;
        Integer intnum;
        Long longnum;
        Float floatnum;
        Double doublenum;

        @Override
        protected void map(WritableComparable key, HCatRecord value,
                           org.apache.hadoop.mapreduce.Mapper<WritableComparable, HCatRecord,
                               WritableComparable, HCatRecord>.Context context)
            throws IOException, InterruptedException {
            boolean isnoPartPig = context.getConfiguration().getBoolean(IS_PIG_NON_PART_TABLE, false);
            intnum1000 = ((Integer) value.get(0));
            id = ((Short) value.get(1));
            intnum5 = (((Byte) value.get(2)));
            intnum100 = (((Integer) value.get(3)));
            intnum = ((Integer) value.get(4));
            longnum = ((Long) value.get(5));
            floatnum = ((Float) value.get(6));
            doublenum = ((Double) value.get(7));
            HCatRecord output = new DefaultHCatRecord(8);
            output.set(0, intnum1000 + 10);
            if (isnoPartPig) {
                output.set(1, ((int) (id + 10)));
            } else {
                output.set(1, ((short) (id + 10)));
            }
            if (isnoPartPig) {
                output.set(2, (int) (intnum5 + 10));
            } else {
                output.set(2, (byte) (intnum5 + 10));
            }

            output.set(3, intnum100 + 10);
            output.set(4, intnum + 10);
            output.set(5, (long) (longnum + 10));
            output.set(6, (float) (floatnum + 10));
            output.set(7, (double) (doublenum + 10));
            for (int i = 0; i < 8; i++) {
                System.err.println("XXX: class:" + output.get(i).getClass());
            }
            context.write(new IntWritable(0), output);

        }
    }


    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        args = new GenericOptionsParser(conf, args).getRemainingArgs();
        String[] otherArgs = new String[2];
        int j = 0;
        for (int i = 0; i < args.length; i++) {
            if (args[i].equals("-libjars")) {
                // generic options parser doesn't seem to work!
                conf.set("tmpjars", args[i + 1]);
                i = i + 1; // skip it , the for loop will skip its value
            } else {
                otherArgs[j++] = args[i];
            }
        }
        if (otherArgs.length != 2) {
            usage();
        }
        String serverUri = otherArgs[0];
        if (otherArgs[1] == null || (
            !otherArgs[1].equalsIgnoreCase("part") && !otherArgs[1].equalsIgnoreCase("nopart"))
            && !otherArgs[1].equalsIgnoreCase("nopart_pig")) {
            usage();
        }
        boolean writeToPartitionedTable = (otherArgs[1].equalsIgnoreCase("part"));
        boolean writeToNonPartPigTable = (otherArgs[1].equalsIgnoreCase("nopart_pig"));
        String tableName = NUMBERS_TABLE_NAME;
        String dbName = "default";
        Map<String, String> outputPartitionKvps = new HashMap<String, String>();
        String outputTableName = null;
        conf.set(IS_PIG_NON_PART_TABLE, "false");
        if (writeToPartitionedTable) {
            outputTableName = NUMBERS_PARTITIONED_TABLE_NAME;
            outputPartitionKvps.put("datestamp", "20100101");
        } else {
            if (writeToNonPartPigTable) {
                conf.set(IS_PIG_NON_PART_TABLE, "true");
                outputTableName = NUMBERS_NON_PARTITIONED_PIG_TABLE_NAME;
            } else {
                outputTableName = NUMBERS_NON_PARTITIONED_TABLE_NAME;
            }
            // test with null or empty randomly
            if (new Random().nextInt(2) == 0) {
                outputPartitionKvps = null;
            }
        }

        String principalID = System.getProperty(HCatConstants.HCAT_METASTORE_PRINCIPAL);
        if (principalID != null)
            conf.set(HCatConstants.HCAT_METASTORE_PRINCIPAL, principalID);
        Job job = new Job(conf, "storenumbers");

        // initialize HCatInputFormat
        HCatInputFormat.setInput(job, InputJobInfo.create(
            dbName, tableName, null));
        // initialize HCatOutputFormat
        HCatOutputFormat.setOutput(job, OutputJobInfo.create(
            dbName, outputTableName, outputPartitionKvps));
        // test with and without specifying schema randomly
        HCatSchema s = HCatInputFormat.getTableSchema(job);
        if (writeToNonPartPigTable) {
            List<HCatFieldSchema> newHfsList = new ArrayList<HCatFieldSchema>();
            // change smallint and tinyint to int
            for (HCatFieldSchema hfs : s.getFields()) {
                if (hfs.getTypeString().equals("smallint")) {
                    newHfsList.add(new HCatFieldSchema(hfs.getName(),
                        HCatFieldSchema.Type.INT, hfs.getComment()));
                } else if (hfs.getTypeString().equals("tinyint")) {
                    newHfsList.add(new HCatFieldSchema(hfs.getName(),
                        HCatFieldSchema.Type.INT, hfs.getComment()));
                } else {
                    newHfsList.add(hfs);
                }
            }
            s = new HCatSchema(newHfsList);
        }
        HCatOutputFormat.setSchema(job, s);


        job.setInputFormatClass(HCatInputFormat.class);
        job.setOutputFormatClass(HCatOutputFormat.class);
        job.setJarByClass(StoreNumbers.class);
        job.setMapperClass(SumMapper.class);
        job.setOutputKeyClass(IntWritable.class);
        job.setNumReduceTasks(0);
        job.setOutputValueClass(DefaultHCatRecord.class);
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }


    /**
     *
     */
    private static void usage() {
        System.err.println("Usage: hadoop jar storenumbers <serveruri> <part|nopart|nopart_pig> <-libjars hive-hcat jar>\n" +
            "\tIf the second argument is \"part\" data is written to datestamp = '2010101' partition of " +
            "the numbers_part_empty_initially table.\n\tIf the second argument is \"nopart\", data is written to " +
            "the unpartitioned numbers_nopart_empty_initially table.\n\tIf the second argument is \"nopart_pig\", " +
            "data is written to the unpartitioned numbers_nopart_pig_empty_initially table.\nt" +
            "The hcat jar location should be specified as file://<full path to jar>\n");
        System.exit(2);

    }


}