Examples with DoubleColumnStatsData org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData used on opensource projects

Example 16 with DoubleColumnStatsData

use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.

the class TestHBaseAggregateStatsNDVUniformDist method TwoEndsAndMiddleOfPartitionsHaveBitVectorStatusDouble.

@Test
public void TwoEndsAndMiddleOfPartitionsHaveBitVectorStatusDouble() throws Exception {
    String dbName = "default";
    String tableName = "snp";
    long now = System.currentTimeMillis();
    List<FieldSchema> cols = new ArrayList<>();
    cols.add(new FieldSchema("col5_double", "double", "nocomment"));
    SerDeInfo serde = new SerDeInfo("serde", "seriallib", null);
    StorageDescriptor sd = new StorageDescriptor(cols, "file:/tmp", "input", "output", false, 0, serde, null, null, Collections.<String, String>emptyMap());
    List<FieldSchema> partCols = new ArrayList<>();
    partCols.add(new FieldSchema("ds", "string", ""));
    Table table = new Table(tableName, dbName, "me", (int) now, (int) now, 0, sd, partCols, Collections.<String, String>emptyMap(), null, null, null);
    store.createTable(table);
    List<List<String>> partVals = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        List<String> partVal = Arrays.asList("" + i);
        partVals.add(partVal);
        StorageDescriptor psd = new StorageDescriptor(sd);
        psd.setLocation("file:/tmp/default/hit/ds=" + partVal);
        Partition part = new Partition(partVal, dbName, tableName, (int) now, (int) now, psd, Collections.<String, String>emptyMap());
        store.addPartition(part);
        if (i == 0 || i == 2 || i == 3 || i == 5 || i == 6 || i == 8) {
            ColumnStatistics cs = new ColumnStatistics();
            ColumnStatisticsDesc desc = new ColumnStatisticsDesc(false, dbName, tableName);
            desc.setLastAnalyzed(now);
            desc.setPartName("ds=" + partVal);
            cs.setStatsDesc(desc);
            ColumnStatisticsObj obj = new ColumnStatisticsObj();
            obj.setColName("col5_double");
            obj.setColType("double");
            ColumnStatisticsData data = new ColumnStatisticsData();
            DoubleColumnStatsData dcsd = new DoubleColumnStatsData();
            dcsd.setHighValue(1000 + i);
            dcsd.setLowValue(-1000 - i);
            dcsd.setNumNulls(i);
            dcsd.setNumDVs(10 * i + 1);
            dcsd.setBitVectors(bitVectors[i / 5]);
            data.setDoubleStats(dcsd);
            obj.setStatsData(data);
            cs.addToStatsObj(obj);
            store.updatePartitionColumnStatistics(cs, partVal);
        }
    }
    Checker statChecker = new Checker() {

        @Override
        public void checkStats(AggrStats aggrStats) throws Exception {
            Assert.assertEquals(6, aggrStats.getPartsFound());
            Assert.assertEquals(1, aggrStats.getColStatsSize());
            ColumnStatisticsObj cso = aggrStats.getColStats().get(0);
            Assert.assertEquals("col5_double", cso.getColName());
            Assert.assertEquals("double", cso.getColType());
            DoubleColumnStatsData lcsd = cso.getStatsData().getDoubleStats();
            Assert.assertEquals(1010, lcsd.getHighValue(), 0.01);
            Assert.assertEquals(-1010, lcsd.getLowValue(), 0.01);
            Assert.assertEquals(40, lcsd.getNumNulls());
            Assert.assertEquals(12, lcsd.getNumDVs());
        }
    };
    List<String> partNames = new ArrayList<>();
    for (int i = 0; i < 10; i++) {
        partNames.add("ds=" + i);
    }
    AggrStats aggrStats = store.get_aggr_stats_for(dbName, tableName, partNames, Arrays.asList("col5_double"));
    statChecker.checkStats(aggrStats);
}

Example 17 with DoubleColumnStatsData

use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.

the class TestHBaseAggregateStatsCacheWithBitVector method allPartitions.

@Test
public void allPartitions() throws Exception {
    String dbName = "default";
    String tableName = "snp";
    List<String> partVals1 = Arrays.asList("today");
    List<String> partVals2 = Arrays.asList("yesterday");
    long now = System.currentTimeMillis();
    List<FieldSchema> cols = new ArrayList<>();
    cols.add(new FieldSchema("col1", "boolean", "nocomment"));
    SerDeInfo serde = new SerDeInfo("serde", "seriallib", null);
    StorageDescriptor sd = new StorageDescriptor(cols, "file:/tmp", "input", "output", false, 0, serde, null, null, Collections.<String, String>emptyMap());
    List<FieldSchema> partCols = new ArrayList<>();
    partCols.add(new FieldSchema("ds", "string", ""));
    Table table = new Table(tableName, dbName, "me", (int) now, (int) now, 0, sd, partCols, Collections.<String, String>emptyMap(), null, null, null);
    store.createTable(table);
    StorageDescriptor psd = new StorageDescriptor(sd);
    psd.setLocation("file:/tmp/default/hit/ds=" + partVals1.get(0));
    Partition part = new Partition(partVals1, dbName, tableName, (int) now, (int) now, psd, Collections.<String, String>emptyMap());
    store.addPartition(part);
    psd = new StorageDescriptor(sd);
    psd.setLocation("file:/tmp/default/hit/ds=" + partVals2.get(0));
    part = new Partition(partVals2, dbName, tableName, (int) now, (int) now, psd, Collections.<String, String>emptyMap());
    store.addPartition(part);
    ColumnStatistics cs = new ColumnStatistics();
    ColumnStatisticsDesc desc = new ColumnStatisticsDesc(false, dbName, tableName);
    desc.setLastAnalyzed(now);
    desc.setPartName("ds=" + partVals1.get(0));
    cs.setStatsDesc(desc);
    ColumnStatisticsObj obj = new ColumnStatisticsObj();
    obj.setColName("col1");
    obj.setColType("double");
    ColumnStatisticsData data = new ColumnStatisticsData();
    DoubleColumnStatsData dcsd = new DoubleColumnStatsData();
    dcsd.setHighValue(1000.2342343);
    dcsd.setLowValue(-20.1234213423);
    dcsd.setNumNulls(30);
    dcsd.setNumDVs(12342);
    dcsd.setBitVectors("{0, 4, 5, 7}{0, 1}{0, 1, 2}{0, 1, 4}{0}{0, 2}{0, 3}{0, 2, 3, 4}{0, 1, 4}{0, 1}{0}{0, 1, 3, 8}{0, 2}{0, 2}{0, 9}{0, 1, 4}");
    data.setDoubleStats(dcsd);
    obj.setStatsData(data);
    cs.addToStatsObj(obj);
    store.updatePartitionColumnStatistics(cs, partVals1);
    cs = new ColumnStatistics();
    desc = new ColumnStatisticsDesc(false, dbName, tableName);
    desc.setLastAnalyzed(now);
    desc.setPartName("ds=" + partVals2.get(0));
    cs.setStatsDesc(desc);
    obj = new ColumnStatisticsObj();
    obj.setColName("col1");
    obj.setColType("double");
    data = new ColumnStatisticsData();
    dcsd = new DoubleColumnStatsData();
    dcsd.setHighValue(1000.2342343);
    dcsd.setLowValue(-20.1234213423);
    dcsd.setNumNulls(30);
    dcsd.setNumDVs(12342);
    dcsd.setBitVectors("{0, 1}{0, 1}{1, 2, 4}{0, 1, 2}{0, 1, 2}{0, 2}{0, 1, 3, 4}{0, 1}{0, 1}{3, 4, 6}{2}{0, 1}{0, 3}{0}{0, 1}{0, 1, 4}");
    data.setDoubleStats(dcsd);
    obj.setStatsData(data);
    cs.addToStatsObj(obj);
    store.updatePartitionColumnStatistics(cs, partVals2);
    Checker statChecker = new Checker() {

        @Override
        public void checkStats(AggrStats aggrStats) throws Exception {
            Assert.assertEquals(2, aggrStats.getPartsFound());
            Assert.assertEquals(1, aggrStats.getColStatsSize());
            ColumnStatisticsObj cso = aggrStats.getColStats().get(0);
            Assert.assertEquals("col1", cso.getColName());
            Assert.assertEquals("double", cso.getColType());
            DoubleColumnStatsData dcsd = cso.getStatsData().getDoubleStats();
            Assert.assertEquals(1000.23, dcsd.getHighValue(), 0.01);
            Assert.assertEquals(-20.12, dcsd.getLowValue(), 0.01);
            Assert.assertEquals(60, dcsd.getNumNulls());
            Assert.assertEquals(5, dcsd.getNumDVs());
        // we do not store the bitvector for the aggrStats.
        // we can store that if it is necessary in the future.
        }
    };
    AggrStats aggrStats = store.get_aggr_stats_for(dbName, tableName, Arrays.asList("ds=today", "ds=yesterday"), Arrays.asList("col1"));
    statChecker.checkStats(aggrStats);
    // Check that we had to build it from the stats
    Assert.assertEquals(0, store.backdoor().getStatsCache().hbaseHits.getCnt());
    Assert.assertEquals(1, store.backdoor().getStatsCache().totalGets.getCnt());
    Assert.assertEquals(1, store.backdoor().getStatsCache().misses.getCnt());
    // Call again, this time it should come from memory. Also, reverse the name
    // order this time
    // to assure that we still hit.
    aggrStats = store.get_aggr_stats_for(dbName, tableName, Arrays.asList("ds=yesterday", "ds=today"), Arrays.asList("col1"));
    statChecker.checkStats(aggrStats);
    Assert.assertEquals(0, store.backdoor().getStatsCache().hbaseHits.getCnt());
    Assert.assertEquals(2, store.backdoor().getStatsCache().totalGets.getCnt());
    Assert.assertEquals(1, store.backdoor().getStatsCache().misses.getCnt());
}

Example 18 with DoubleColumnStatsData

use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.

the class TestHBaseStore method doublePartitionStatistics.

@Test
public void doublePartitionStatistics() throws Exception {
    createMockTableAndPartition(DOUBLE_TYPE, DOUBLE_VAL);
    // Add partition stats for: DOUBLE_COL and partition: {PART_KEY, DOUBLE_VAL} to DB
    // Because of the way our mock implementation works we actually need to not create the table
    // before we set statistics on it.
    ColumnStatistics stats = new ColumnStatistics();
    // Get a default ColumnStatisticsDesc for partition level stats
    ColumnStatisticsDesc desc = getMockPartColStatsDesc(PART_KEY, DOUBLE_VAL);
    stats.setStatsDesc(desc);
    // Get one of the pre-created ColumnStatisticsObj
    ColumnStatisticsObj obj = doubleColStatsObjs.get(0);
    DoubleColumnStatsData doubleData = obj.getStatsData().getDoubleStats();
    // Add to DB
    stats.addToStatsObj(obj);
    List<String> parVals = new ArrayList<String>();
    parVals.add(DOUBLE_VAL);
    store.updatePartitionColumnStatistics(stats, parVals);
    // Get from DB
    List<String> partNames = new ArrayList<String>();
    partNames.add(desc.getPartName());
    List<String> colNames = new ArrayList<String>();
    colNames.add(obj.getColName());
    List<ColumnStatistics> statsFromDB = store.getPartitionColumnStatistics(DB, TBL, partNames, colNames);
    // Compare ColumnStatisticsDesc
    Assert.assertEquals(1, statsFromDB.size());
    Assert.assertEquals(desc.getLastAnalyzed(), statsFromDB.get(0).getStatsDesc().getLastAnalyzed());
    Assert.assertEquals(DB, statsFromDB.get(0).getStatsDesc().getDbName());
    Assert.assertEquals(TBL, statsFromDB.get(0).getStatsDesc().getTableName());
    Assert.assertFalse(statsFromDB.get(0).getStatsDesc().isIsTblLevel());
    // Compare ColumnStatisticsObj
    Assert.assertEquals(1, statsFromDB.get(0).getStatsObjSize());
    ColumnStatisticsObj objFromDB = statsFromDB.get(0).getStatsObj().get(0);
    ColumnStatisticsData dataFromDB = objFromDB.getStatsData();
    // Compare ColumnStatisticsData
    Assert.assertEquals(ColumnStatisticsData._Fields.DOUBLE_STATS, dataFromDB.getSetField());
    // Compare DoubleColumnStatsData
    DoubleColumnStatsData doubleDataFromDB = dataFromDB.getDoubleStats();
    Assert.assertEquals(doubleData.getHighValue(), doubleDataFromDB.getHighValue(), 0.01);
    Assert.assertEquals(doubleData.getLowValue(), doubleDataFromDB.getLowValue(), 0.01);
    Assert.assertEquals(doubleData.getNumNulls(), doubleDataFromDB.getNumNulls());
    Assert.assertEquals(doubleData.getNumDVs(), doubleDataFromDB.getNumDVs());
}

Example 19 with DoubleColumnStatsData

use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.

the class TestHBaseStore method mockDoubleStats.

private static ColumnStatisticsObj mockDoubleStats(int i) {
    double high = 123423.23423 + 100 * i;
    double low = 0.00001234233 - 50 * i;
    long nulls = 92 + i;
    long dVs = 1234123421L + 10 * i;
    ColumnStatisticsObj colStatsObj = new ColumnStatisticsObj();
    colStatsObj.setColName(DOUBLE_COL);
    colStatsObj.setColType(DOUBLE_TYPE);
    ColumnStatisticsData data = new ColumnStatisticsData();
    DoubleColumnStatsData doubleData = new DoubleColumnStatsData();
    doubleData.setHighValue(high);
    doubleData.setLowValue(low);
    doubleData.setNumNulls(nulls);
    doubleData.setNumDVs(dVs);
    data.setDoubleStats(doubleData);
    colStatsObj.setStatsData(data);
    return colStatsObj;
}

Example 20 with DoubleColumnStatsData

use of org.apache.hadoop.hive.metastore.api.DoubleColumnStatsData in project hive by apache.

the class TestHBaseStore method doubleTableStatistics.

@Test
public void doubleTableStatistics() throws Exception {
    createMockTable(DOUBLE_TYPE);
    // Add a double table stats for DOUBLE_COL to DB
    // Because of the way our mock implementation works we actually need to not create the table
    // before we set statistics on it.
    ColumnStatistics stats = new ColumnStatistics();
    // Get a default ColumnStatisticsDesc for table level stats
    ColumnStatisticsDesc desc = getMockTblColStatsDesc();
    stats.setStatsDesc(desc);
    // Get one of the pre-created ColumnStatisticsObj
    ColumnStatisticsObj obj = doubleColStatsObjs.get(0);
    DoubleColumnStatsData doubleData = obj.getStatsData().getDoubleStats();
    // Add to DB
    stats.addToStatsObj(obj);
    store.updateTableColumnStatistics(stats);
    // Get from DB
    ColumnStatistics statsFromDB = store.getTableColumnStatistics(DB, TBL, Arrays.asList(DOUBLE_COL));
    // Compare ColumnStatisticsDesc
    Assert.assertEquals(desc.getLastAnalyzed(), statsFromDB.getStatsDesc().getLastAnalyzed());
    Assert.assertEquals(DB, statsFromDB.getStatsDesc().getDbName());
    Assert.assertEquals(TBL, statsFromDB.getStatsDesc().getTableName());
    Assert.assertTrue(statsFromDB.getStatsDesc().isIsTblLevel());
    // Compare ColumnStatisticsObj
    Assert.assertEquals(1, statsFromDB.getStatsObjSize());
    ColumnStatisticsObj objFromDB = statsFromDB.getStatsObj().get(0);
    ColumnStatisticsData dataFromDB = objFromDB.getStatsData();
    // Compare ColumnStatisticsData
    Assert.assertEquals(ColumnStatisticsData._Fields.DOUBLE_STATS, dataFromDB.getSetField());
    // Compare DoubleColumnStatsData
    DoubleColumnStatsData doubleDataFromDB = dataFromDB.getDoubleStats();
    Assert.assertEquals(doubleData.getHighValue(), doubleDataFromDB.getHighValue(), 0.01);
    Assert.assertEquals(doubleData.getLowValue(), doubleDataFromDB.getLowValue(), 0.01);
    Assert.assertEquals(doubleData.getNumNulls(), doubleDataFromDB.getNumNulls());
    Assert.assertEquals(doubleData.getNumDVs(), doubleDataFromDB.getNumDVs());
}