use of org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj in project hive by apache.
the class TestHBaseStore method booleanTableStatistics.
// Due to the way our mock stuff works, we can only insert one column at a time, so we'll test
// each stat type separately. We'll test them together in the integration tests.
@Test
public void booleanTableStatistics() throws Exception {
// Add a boolean table stats for BOOLEAN_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 = booleanColStatsObjs.get(0);
BooleanColumnStatsData boolData = obj.getStatsData().getBooleanStats();
// Add to DB
stats.addToStatsObj(obj);
store.updateTableColumnStatistics(stats);
// Get from DB
ColumnStatistics statsFromDB = store.getTableColumnStatistics(DB, TBL, Arrays.asList(BOOLEAN_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.BOOLEAN_STATS, dataFromDB.getSetField());
// Compare BooleanColumnStatsData
BooleanColumnStatsData boolDataFromDB = dataFromDB.getBooleanStats();
Assert.assertEquals(boolData.getNumTrues(), boolDataFromDB.getNumTrues());
Assert.assertEquals(boolData.getNumFalses(), boolDataFromDB.getNumFalses());
Assert.assertEquals(boolData.getNumNulls(), boolDataFromDB.getNumNulls());
}
use of org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj in project hive by apache.
the class TestHBaseStore method mockBooleanStats.
private static ColumnStatisticsObj mockBooleanStats(int i) {
long trues = 37 + 100 * i;
long falses = 12 + 50 * i;
long nulls = 2 + i;
ColumnStatisticsObj colStatsObj = new ColumnStatisticsObj();
colStatsObj.setColName(BOOLEAN_COL);
colStatsObj.setColType(BOOLEAN_TYPE);
ColumnStatisticsData data = new ColumnStatisticsData();
BooleanColumnStatsData boolData = new BooleanColumnStatsData();
boolData.setNumTrues(trues);
boolData.setNumFalses(falses);
boolData.setNumNulls(nulls);
data.setBooleanStats(boolData);
colStatsObj.setStatsData(data);
return colStatsObj;
}
use of org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj in project hive by apache.
the class TestHBaseAggregateStatsNDVUniformDist method TwoEndsAndMiddleOfPartitionsHaveBitVectorStatusLong.
@Test
public void TwoEndsAndMiddleOfPartitionsHaveBitVectorStatusLong() throws Exception {
String dbName = "default";
String tableName = "snp";
long now = System.currentTimeMillis();
List<FieldSchema> cols = new ArrayList<>();
cols.add(new FieldSchema("col5_long", "long", "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_long");
obj.setColType("long");
ColumnStatisticsData data = new ColumnStatisticsData();
LongColumnStatsData dcsd = new LongColumnStatsData();
dcsd.setHighValue(1000 + i);
dcsd.setLowValue(-1000 - i);
dcsd.setNumNulls(i);
dcsd.setNumDVs(10 * i + 1);
dcsd.setBitVectors(bitVectors[i / 5]);
data.setLongStats(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_long", cso.getColName());
Assert.assertEquals("long", cso.getColType());
LongColumnStatsData lcsd = cso.getStatsData().getLongStats();
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_long"));
statChecker.checkStats(aggrStats);
}
use of org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj in project hive by apache.
the class TestAggregateStatsCache method testTimeToLive.
@Test
public void testTimeToLive() throws Exception {
// Add a dummy node to cache
// Partnames: [tab1part1...tab1part9]
List<String> partNames = preparePartNames(tables.get(0), 1, 9);
// Prepare the bloom filter
BloomFilter bloomFilter = prepareBloomFilter(partNames);
// Add a dummy aggregate stats object for the above parts (part1...part9) of tab1 for col1
String tblName = tables.get(0);
String colName = tabCols.get(0);
int highVal = 100, lowVal = 10, numDVs = 50, numNulls = 5;
// We'll treat this as the aggregate col stats for part1...part9 of tab1, col1
ColumnStatisticsObj aggrColStats = getDummyLongColStat(colName, highVal, lowVal, numDVs, numNulls);
// Now add to cache
cache.add(DB_NAME, tblName, colName, 10, aggrColStats, bloomFilter);
// Sleep for 30 seconds
Thread.sleep(30000);
// Get should fail now (since TTL is 20s) and we've snoozed for 30 seconds
AggrColStats aggrStatsCached = cache.get(DB_NAME, tblName, colName, partNames);
Assert.assertNull(aggrStatsCached);
}
use of org.apache.hadoop.hive.metastore.api.ColumnStatisticsObj in project hive by apache.
the class TestHBaseStore method binaryPartitionStatistics.
@Test
public void binaryPartitionStatistics() throws Exception {
createMockTableAndPartition(BINARY_TYPE, BINARY_VAL);
// Add partition stats for: BINARY_COL and partition: {PART_KEY, BINARY_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, BINARY_VAL);
stats.setStatsDesc(desc);
// Get one of the pre-created ColumnStatisticsObj
ColumnStatisticsObj obj = binaryColStatsObjs.get(0);
BinaryColumnStatsData binaryData = obj.getStatsData().getBinaryStats();
// Add to DB
stats.addToStatsObj(obj);
List<String> parVals = new ArrayList<String>();
parVals.add(BINARY_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.BINARY_STATS, dataFromDB.getSetField());
// Compare BinaryColumnStatsData
BinaryColumnStatsData binaryDataFromDB = dataFromDB.getBinaryStats();
Assert.assertEquals(binaryData.getMaxColLen(), binaryDataFromDB.getMaxColLen());
Assert.assertEquals(binaryData.getAvgColLen(), binaryDataFromDB.getAvgColLen(), 0.01);
Assert.assertEquals(binaryData.getNumNulls(), binaryDataFromDB.getNumNulls());
}
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