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 * 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
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package org.apache.falcon.regression.hcat;

import org.apache.commons.lang.StringUtils;
import org.apache.falcon.regression.core.bundle.Bundle;
import org.apache.falcon.entity.v0.cluster.Interfacetype;
import org.apache.falcon.entity.v0.EntityType;
import org.apache.falcon.entity.v0.Frequency;
import org.apache.falcon.entity.v0.feed.ActionType;
import org.apache.falcon.entity.v0.feed.ClusterType;
import org.apache.falcon.regression.core.helpers.ColoHelper;
import org.apache.falcon.regression.core.util.AssertUtil;
import org.apache.falcon.regression.core.util.BundleUtil;
import org.apache.falcon.regression.core.util.HCatUtil;
import org.apache.falcon.regression.core.util.HadoopUtil;
import org.apache.falcon.regression.core.util.InstanceUtil;
import org.apache.falcon.regression.core.util.OSUtil;
import org.apache.falcon.regression.core.util.TimeUtil;
import org.apache.falcon.regression.core.util.Util;
import org.apache.falcon.regression.core.util.XmlUtil;
import org.apache.falcon.regression.testHelper.BaseTestClass;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hive.hcatalog.api.HCatAddPartitionDesc;
import org.apache.hive.hcatalog.api.HCatClient;
import org.apache.hive.hcatalog.api.HCatCreateTableDesc;
import org.apache.hive.hcatalog.common.HCatException;
import org.apache.hive.hcatalog.data.schema.HCatFieldSchema;
import org.apache.log4j.Logger;
import org.apache.oozie.client.CoordinatorAction;
import org.apache.oozie.client.OozieClient;
import org.joda.time.format.DateTimeFormat;
import org.testng.Assert;
import org.testng.annotations.AfterClass;
import org.testng.annotations.AfterMethod;
import org.testng.annotations.BeforeClass;
import org.testng.annotations.BeforeMethod;
import org.testng.annotations.DataProvider;
import org.testng.annotations.Test;

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

@Test(groups = "embedded")
public class HCatReplicationTest extends BaseTestClass {

    private static final Logger logger = Logger.getLogger(HCatReplicationTest.class);
    ColoHelper cluster = servers.get(0);
    FileSystem clusterFS = serverFS.get(0);
    HCatClient clusterHC;

    ColoHelper cluster2 = servers.get(1);
    FileSystem cluster2FS = serverFS.get(1);
    OozieClient cluster2OC = serverOC.get(1);
    HCatClient cluster2HC;

    ColoHelper cluster3 = servers.get(2);
    FileSystem cluster3FS = serverFS.get(2);
    OozieClient cluster3OC = serverOC.get(2);
    HCatClient cluster3HC;

    final String baseTestHDFSDir = baseHDFSDir + "/HCatReplicationTest";

    final String dbName = "default";
    private static final String localHCatData = OSUtil.getPath(OSUtil.RESOURCES, "hcat", "data");
    private static final double TIMEOUT = 15;

    @BeforeClass(alwaysRun = true)
    public void beforeClass() throws IOException {
        clusterHC = cluster.getClusterHelper().getHCatClient();
        cluster2HC = cluster2.getClusterHelper().getHCatClient();
        cluster3HC = cluster3.getClusterHelper().getHCatClient();
        // create the base dir on all clusters.
        HadoopUtil.recreateDir(serverFS, baseTestHDFSDir);
    }

    @BeforeMethod(alwaysRun = true)
    public void setUp() throws Exception {
        Bundle bundle = BundleUtil.readHCatBundle();
        bundles[0] = new Bundle(bundle, cluster.getPrefix());
        bundles[0].generateUniqueBundle();
        bundles[0].setClusterInterface(Interfacetype.REGISTRY,
            cluster.getClusterHelper().getHCatEndpoint());

        bundles[1] = new Bundle(bundle, cluster2.getPrefix());
        bundles[1].generateUniqueBundle();
        bundles[1].setClusterInterface(Interfacetype.REGISTRY, cluster2.getClusterHelper()
            .getHCatEndpoint());

        bundles[2] = new Bundle(bundle, cluster3.getPrefix());
        bundles[2].generateUniqueBundle();
        bundles[2].setClusterInterface(Interfacetype.REGISTRY, cluster3.getClusterHelper()
            .getHCatEndpoint());

    }

    @DataProvider
    public String[][] generateSeparators() {
        //disabling till FALCON-372 is fixed
        //return new String[][] {{"-"}, {"/"}};
        return new String[][]{{"-"},};
    }

    // make sure oozie changes mentioned FALCON-389 are done on the clusters. Otherwise the test
    // will fail.
    // Noticed with hive 0.13 we need the following issues resolved to work HIVE-6848 and
    // HIVE-6868. Also oozie share libs need to have hive jars that have these jira's resolved and
    // the maven depenendcy you are using to run the tests has to have hcat that has these fixed.
    @Test(dataProvider = "generateSeparators")
    public void oneSourceOneTarget(String separator) throws Exception {
        String tcName = "HCatReplication_oneSourceOneTarget";
        if (separator.equals("-")) {
            tcName += "_hyphen";
        } else {
            tcName += "_slash";
        }
        String tblName = tcName;
        String testHdfsDir = baseTestHDFSDir + "/" + tcName;
        HadoopUtil.recreateDir(serverFS, testHdfsDir);
        final String startDate = "2010-01-01T20:00Z";
        final String endDate = "2099-01-01T00:00Z";
        final String dataEndDate = "2010-01-01T21:00Z";
        final String tableUriPartitionFragment = StringUtils
            .join(new String[]{"#dt=${YEAR}", "${MONTH}", "${DAY}", "${HOUR}"}, separator);
        String tableUri = "catalog:" + dbName + ":" + tblName + tableUriPartitionFragment;
        final String datePattern =
            StringUtils.join(new String[]{"yyyy", "MM", "dd", "HH"}, separator);
        // use the start date for both as this will only generate 2 partitions.
        List<String> dataDates = TimeUtil.getMinuteDatesOnEitherSide(startDate, dataEndDate, 60,
            DateTimeFormat.forPattern(datePattern));

        final List<String> dataset = HadoopUtil.flattenAndPutDataInFolder(clusterFS,
            localHCatData, testHdfsDir, dataDates);
        final String col1Name = "id";
        final String col2Name = "value";
        final String partitionColumn = "dt";

        ArrayList<HCatFieldSchema> cols = new ArrayList<HCatFieldSchema>();
        cols.add(HCatUtil.getStringSchema(col1Name, col1Name + " comment"));
        cols.add(HCatUtil.getStringSchema(col2Name, col2Name + " comment"));
        ArrayList<HCatFieldSchema> partitionCols = new ArrayList<HCatFieldSchema>();

        // create table on cluster 1 and add data to it.
        partitionCols.add(HCatUtil.getStringSchema(partitionColumn, partitionColumn + " partition"));
        createTable(clusterHC, dbName, tblName, cols, partitionCols, testHdfsDir);
        addPartitionsToTable(dataDates, dataset, "dt", dbName, tblName, clusterHC);

        // create table on target cluster.
        createTable(cluster2HC, dbName, tblName, cols, partitionCols, testHdfsDir);

        Bundle.submitCluster(bundles[0], bundles[1]);

        bundles[0].setInputFeedPeriodicity(1, Frequency.TimeUnit.hours);
        bundles[0].setInputFeedValidity(startDate, endDate);
        bundles[0].setInputFeedTableUri(tableUri);

        String feed = bundles[0].getDataSets().get(0);
        // set the cluster 2 as the target.
        feed = InstanceUtil.setFeedClusterWithTable(feed,
            XmlUtil.createValidity(startDate, endDate),
            XmlUtil.createRtention("months(9000)", ActionType.DELETE),
            Util.readEntityName(bundles[1].getClusters().get(0)), ClusterType.TARGET, null,
            tableUri);

        AssertUtil.assertSucceeded(
            prism.getFeedHelper().submitAndSchedule(Util.URLS.SUBMIT_AND_SCHEDULE_URL,
                feed)
        );
        TimeUtil.sleepSeconds(TIMEOUT);
        //check if all coordinators exist
        Assert.assertEquals(InstanceUtil
            .checkIfFeedCoordExist(cluster2.getFeedHelper(), Util.readEntityName(feed),
                "REPLICATION"), 1);

        //replication should start, wait while it ends
        // we will check for 2 instances so that both partitions are copied over.
        InstanceUtil.waitTillInstanceReachState(cluster2OC, Util.readEntityName(feed), 2,
            CoordinatorAction.Status.SUCCEEDED, EntityType.FEED);

        //check if data was replicated correctly
        List<Path> cluster1ReplicatedData = HadoopUtil
            .getAllFilesRecursivelyHDFS(clusterFS, new Path(testHdfsDir));
        logger.info("Data on source cluster: " + cluster1ReplicatedData);
        List<Path> cluster2ReplicatedData = HadoopUtil
            .getAllFilesRecursivelyHDFS(cluster2FS, new Path(testHdfsDir));
        logger.info("Data on target cluster: " + cluster2ReplicatedData);
        AssertUtil.checkForListSizes(cluster1ReplicatedData, cluster2ReplicatedData);

    }

    // make sure oozie changes mentioned FALCON-389 are done on the clusters. Otherwise the test
    // will fail.
    // Noticed with hive 0.13 we need the following issues resolved to work HIVE-6848 and
    // HIVE-6868. Also oozie share libs need to have hive jars that have these jira's resolved and
    // the maven depenendcy you are using to run the tests has to have hcat that has these fixed.
    // This test can fail randomly because of https://issues.apache.org/jira/browse/FALCON-401
    @Test(dataProvider = "generateSeparators")
    public void oneSourceTwoTarget(String separator) throws Exception {
        String tcName = "HCatReplication_oneSourceTwoTarget";
        if (separator.equals("-")) {
            tcName += "_hyphen";
        } else {
            tcName += "_slash";
        }
        String tblName = tcName;
        String testHdfsDir = baseTestHDFSDir + "/" + tcName;
        HadoopUtil.recreateDir(serverFS, testHdfsDir);
        final String startDate = "2010-01-01T20:00Z";
        final String endDate = "2099-01-01T00:00Z";
        final String dataEndDate = "2010-01-01T21:00Z";
        final String tableUriPartitionFragment = StringUtils
            .join(new String[]{"#dt=${YEAR}", "${MONTH}", "${DAY}", "${HOUR}"}, separator);
        String tableUri = "catalog:" + dbName + ":" + tblName + tableUriPartitionFragment;
        final String datePattern =
            StringUtils.join(new String[]{"yyyy", "MM", "dd", "HH"}, separator);
        // use the start date for both as this will only generate 2 partitions.
        List<String> dataDates = TimeUtil.getMinuteDatesOnEitherSide(startDate, dataEndDate, 60,
            DateTimeFormat.forPattern(datePattern));

        final List<String> dataset = HadoopUtil.flattenAndPutDataInFolder(clusterFS,
            localHCatData, testHdfsDir, dataDates);
        final String col1Name = "id";
        final String col2Name = "value";
        final String partitionColumn = "dt";

        ArrayList<HCatFieldSchema> cols = new ArrayList<HCatFieldSchema>();
        cols.add(HCatUtil.getStringSchema(col1Name, col1Name + " comment"));
        cols.add(HCatUtil.getStringSchema(col2Name, col2Name + " comment"));
        ArrayList<HCatFieldSchema> partitionCols = new ArrayList<HCatFieldSchema>();

        // create table on cluster 1 and add data to it.
        partitionCols.add(HCatUtil.getStringSchema(partitionColumn, partitionColumn + " partition"));
        createTable(clusterHC, dbName, tblName, cols, partitionCols, testHdfsDir);
        addPartitionsToTable(dataDates, dataset, "dt", dbName, tblName, clusterHC);

        // create table on target cluster.
        createTable(cluster2HC, dbName, tblName, cols, partitionCols, testHdfsDir);
        createTable(cluster3HC, dbName, tblName, cols, partitionCols, testHdfsDir);

        Bundle.submitCluster(bundles[0], bundles[1], bundles[2]);

        bundles[0].setInputFeedPeriodicity(1, Frequency.TimeUnit.hours);
        bundles[0].setInputFeedValidity(startDate, endDate);
        bundles[0].setInputFeedTableUri(tableUri);

        String feed = bundles[0].getDataSets().get(0);
        // set the cluster 2 as the target.
        feed = InstanceUtil.setFeedClusterWithTable(feed,
            XmlUtil.createValidity(startDate, endDate),
            XmlUtil.createRtention("months(9000)", ActionType.DELETE),
            Util.readEntityName(bundles[1].getClusters().get(0)), ClusterType.TARGET, null,
            tableUri);
        // set the cluster 3 as the target.
        feed = InstanceUtil.setFeedClusterWithTable(feed,
            XmlUtil.createValidity(startDate, endDate),
            XmlUtil.createRtention("months(9000)", ActionType.DELETE),
            Util.readEntityName(bundles[2].getClusters().get(0)), ClusterType.TARGET, null,
            tableUri);

        AssertUtil.assertSucceeded(
            prism.getFeedHelper().submitAndSchedule(Util.URLS.SUBMIT_AND_SCHEDULE_URL,
                feed)
        );
        TimeUtil.sleepSeconds(TIMEOUT);
        //check if all coordinators exist
        Assert.assertEquals(InstanceUtil
            .checkIfFeedCoordExist(cluster2.getFeedHelper(), Util.readEntityName(feed),
                "REPLICATION"), 1);

        //check if all coordinators exist
        Assert.assertEquals(InstanceUtil
            .checkIfFeedCoordExist(cluster3.getFeedHelper(), Util.readEntityName(feed),
                "REPLICATION"), 1);

        //replication should start, wait while it ends
        // we will check for 2 instances so that both partitions are copied over.
        InstanceUtil.waitTillInstanceReachState(cluster2OC, Util.readEntityName(feed), 2,
            CoordinatorAction.Status.SUCCEEDED, EntityType.FEED);

        //replication should start, wait while it ends
        // we will check for 2 instances so that both partitions are copied over.
        InstanceUtil.waitTillInstanceReachState(cluster3OC, Util.readEntityName(feed), 2,
            CoordinatorAction.Status.SUCCEEDED, EntityType.FEED);

        //check if data was replicated correctly
        List<Path> srcData = HadoopUtil
            .getAllFilesRecursivelyHDFS(clusterFS, new Path(testHdfsDir));
        logger.info("Data on source cluster: " + srcData);
        List<Path> cluster2TargetData = HadoopUtil
            .getAllFilesRecursivelyHDFS(cluster2FS, new Path(testHdfsDir));
        logger.info("Data on target cluster: " + cluster2TargetData);
        AssertUtil.checkForListSizes(srcData, cluster2TargetData);
        List<Path> cluster3TargetData = HadoopUtil
            .getAllFilesRecursivelyHDFS(cluster3FS, new Path(testHdfsDir));
        logger.info("Data on target cluster: " + cluster3TargetData);
        AssertUtil.checkForListSizes(srcData, cluster3TargetData);
    }

    //TODO: More tests need to be added such as
    // Tests to make sure new partitions that are added are replicated
    // Tests to make sure partitions that do no match the pattern are not copied

    private void addPartitionsToTable(List<String> partitions, List<String> partitionLocations,
                                      String partitionCol,
                                      String dbName, String tableName, HCatClient hc) throws
        HCatException {
        Assert.assertEquals(partitions.size(), partitionLocations.size(),
            "Number of locations is not same as number of partitions.");
        final List<HCatAddPartitionDesc> partitionDesc = new ArrayList<HCatAddPartitionDesc>();
        for (int i = 0; i < partitions.size(); ++i) {
            final String partition = partitions.get(i);
            final Map<String, String> onePartition = new HashMap<String, String>();
            onePartition.put(partitionCol, partition);
            final String partitionLoc = partitionLocations.get(i);
            partitionDesc
                .add(HCatAddPartitionDesc.create(dbName, tableName, partitionLoc, onePartition)
                    .build());
        }
        logger.info("adding partitions: " + partitionDesc);
        hc.addPartitions(partitionDesc);
    }

    private static void createTable(HCatClient hcatClient, String dbName, String tblName,
                                    List<HCatFieldSchema> cols, List<HCatFieldSchema> partitionCols,
                                    String hdfsDir) throws HCatException {
        hcatClient.dropTable(dbName, tblName, true);
        hcatClient.createTable(HCatCreateTableDesc
            .create(dbName, tblName, cols)
            .partCols(partitionCols)
            .ifNotExists(true)
            .isTableExternal(true)
            .location(hdfsDir)
            .build());
    }

    @AfterMethod(alwaysRun = true)
    public void tearDown() {
        removeBundles();
    }

    @AfterClass(alwaysRun = true)
    public void tearDownClass() throws IOException {
        cleanTestDirs();
    }
}