Examples with FakeCaptureOutputOperator org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator used on opensource projects

Example 1 with FakeCaptureOutputOperator

use of org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator in project hive by apache.

the class TestVectorGroupByOperator method testMultiKey.

private void testMultiKey(String aggregateName, FakeVectorRowBatchFromObjectIterables data, HashMap<Object, Object> expected) throws HiveException {
    Map<String, Integer> mapColumnNames = new HashMap<String, Integer>();
    ArrayList<String> outputColumnNames = new ArrayList<String>();
    ArrayList<ExprNodeDesc> keysDesc = new ArrayList<ExprNodeDesc>();
    Set<Object> keys = new HashSet<Object>();
    // The types array tells us the number of columns in the data
    final String[] columnTypes = data.getTypes();
    // Columns 0..N-1 are keys. Column N is the aggregate value input
    int i = 0;
    for (; i < columnTypes.length - 1; ++i) {
        String columnName = String.format("_col%d", i);
        mapColumnNames.put(columnName, i);
        outputColumnNames.add(columnName);
    }
    mapColumnNames.put("value", i);
    outputColumnNames.add("value");
    VectorizationContext ctx = new VectorizationContext("name", outputColumnNames);
    ArrayList<AggregationDesc> aggs = new ArrayList(1);
    aggs.add(buildAggregationDesc(ctx, aggregateName, GenericUDAFEvaluator.Mode.PARTIAL1, "value", TypeInfoFactory.getPrimitiveTypeInfo(columnTypes[i])));
    for (i = 0; i < columnTypes.length - 1; ++i) {
        String columnName = String.format("_col%d", i);
        keysDesc.add(buildColumnDesc(ctx, columnName, TypeInfoFactory.getPrimitiveTypeInfo(columnTypes[i])));
    }
    GroupByDesc desc = new GroupByDesc();
    desc.setVectorDesc(new VectorGroupByDesc());
    desc.setOutputColumnNames(outputColumnNames);
    desc.setAggregators(aggs);
    desc.setKeys(keysDesc);
    ((VectorGroupByDesc) desc.getVectorDesc()).setProcessingMode(ProcessingMode.HASH);
    CompilationOpContext cCtx = new CompilationOpContext();
    Operator<? extends OperatorDesc> groupByOp = OperatorFactory.get(cCtx, desc);
    VectorGroupByOperator vgo = (VectorGroupByOperator) Vectorizer.vectorizeGroupByOperator(groupByOp, ctx);
    FakeCaptureOutputOperator out = FakeCaptureOutputOperator.addCaptureOutputChild(cCtx, vgo);
    vgo.initialize(hconf, null);
    out.setOutputInspector(new FakeCaptureOutputOperator.OutputInspector() {

        private int rowIndex;

        private String aggregateName;

        private Map<Object, Object> expected;

        private Set<Object> keys;

        @Override
        public void inspectRow(Object row, int tag) throws HiveException {
            assertTrue(row instanceof Object[]);
            Object[] fields = (Object[]) row;
            assertEquals(columnTypes.length, fields.length);
            ArrayList<Object> keyValue = new ArrayList<Object>(columnTypes.length - 1);
            for (int i = 0; i < columnTypes.length - 1; ++i) {
                Object key = fields[i];
                if (null == key) {
                    keyValue.add(null);
                } else if (key instanceof Text) {
                    Text txKey = (Text) key;
                    keyValue.add(txKey.toString());
                } else if (key instanceof ByteWritable) {
                    ByteWritable bwKey = (ByteWritable) key;
                    keyValue.add(bwKey.get());
                } else if (key instanceof ShortWritable) {
                    ShortWritable swKey = (ShortWritable) key;
                    keyValue.add(swKey.get());
                } else if (key instanceof IntWritable) {
                    IntWritable iwKey = (IntWritable) key;
                    keyValue.add(iwKey.get());
                } else if (key instanceof LongWritable) {
                    LongWritable lwKey = (LongWritable) key;
                    keyValue.add(lwKey.get());
                } else if (key instanceof TimestampWritable) {
                    TimestampWritable twKey = (TimestampWritable) key;
                    keyValue.add(twKey.getTimestamp());
                } else if (key instanceof DoubleWritable) {
                    DoubleWritable dwKey = (DoubleWritable) key;
                    keyValue.add(dwKey.get());
                } else if (key instanceof FloatWritable) {
                    FloatWritable fwKey = (FloatWritable) key;
                    keyValue.add(fwKey.get());
                } else if (key instanceof BooleanWritable) {
                    BooleanWritable bwKey = (BooleanWritable) key;
                    keyValue.add(bwKey.get());
                } else {
                    Assert.fail(String.format("Not implemented key output type %s: %s", key.getClass().getName(), key));
                }
            }
            String keyAsString = Arrays.deepToString(keyValue.toArray());
            assertTrue(expected.containsKey(keyValue));
            Object expectedValue = expected.get(keyValue);
            Object value = fields[columnTypes.length - 1];
            Validator validator = getValidator(aggregateName);
            validator.validate(keyAsString, expectedValue, new Object[] { value });
            keys.add(keyValue);
        }

        private FakeCaptureOutputOperator.OutputInspector init(String aggregateName, Map<Object, Object> expected, Set<Object> keys) {
            this.aggregateName = aggregateName;
            this.expected = expected;
            this.keys = keys;
            return this;
        }
    }.init(aggregateName, expected, keys));
    for (VectorizedRowBatch unit : data) {
        vgo.process(unit, 0);
    }
    vgo.close(false);
    List<Object> outBatchList = out.getCapturedRows();
    assertNotNull(outBatchList);
    assertEquals(expected.size(), outBatchList.size());
    assertEquals(expected.size(), keys.size());
}

Example 2 with FakeCaptureOutputOperator

use of org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator in project hive by apache.

the class TestVectorGroupByOperator method testAggregateCountReduceIterable.

public void testAggregateCountReduceIterable(Iterable<VectorizedRowBatch> data, Object expected) throws HiveException {
    List<String> mapColumnNames = new ArrayList<String>();
    mapColumnNames.add("A");
    VectorizationContext ctx = new VectorizationContext("name", mapColumnNames);
    GroupByDesc desc = buildGroupByDescType(ctx, "count", GenericUDAFEvaluator.Mode.FINAL, "A", TypeInfoFactory.longTypeInfo);
    VectorGroupByDesc vectorDesc = (VectorGroupByDesc) desc.getVectorDesc();
    // Use GLOBAL when no key for Reduce.
    vectorDesc.setProcessingMode(ProcessingMode.GLOBAL);
    CompilationOpContext cCtx = new CompilationOpContext();
    Operator<? extends OperatorDesc> groupByOp = OperatorFactory.get(cCtx, desc);
    VectorGroupByOperator vgo = (VectorGroupByOperator) Vectorizer.vectorizeGroupByOperator(groupByOp, ctx);
    FakeCaptureOutputOperator out = FakeCaptureOutputOperator.addCaptureOutputChild(cCtx, vgo);
    vgo.initialize(hconf, null);
    for (VectorizedRowBatch unit : data) {
        vgo.process(unit, 0);
    }
    vgo.close(false);
    List<Object> outBatchList = out.getCapturedRows();
    assertNotNull(outBatchList);
    assertEquals(1, outBatchList.size());
    Object result = outBatchList.get(0);
    Validator validator = getValidator("count");
    validator.validate("_total", expected, result);
}

Example 3 with FakeCaptureOutputOperator

use of org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator in project hive by apache.

the class TestVectorGroupByOperator method testAggregateStringKeyIterable.

public void testAggregateStringKeyIterable(String aggregateName, Iterable<VectorizedRowBatch> data, TypeInfo dataTypeInfo, HashMap<Object, Object> expected) throws HiveException {
    List<String> mapColumnNames = new ArrayList<String>();
    mapColumnNames.add("Key");
    mapColumnNames.add("Value");
    VectorizationContext ctx = new VectorizationContext("name", mapColumnNames);
    Set<Object> keys = new HashSet<Object>();
    GroupByDesc desc = buildKeyGroupByDesc(ctx, aggregateName, "Value", dataTypeInfo, "Key", TypeInfoFactory.stringTypeInfo);
    CompilationOpContext cCtx = new CompilationOpContext();
    Operator<? extends OperatorDesc> groupByOp = OperatorFactory.get(cCtx, desc);
    VectorGroupByOperator vgo = (VectorGroupByOperator) Vectorizer.vectorizeGroupByOperator(groupByOp, ctx);
    FakeCaptureOutputOperator out = FakeCaptureOutputOperator.addCaptureOutputChild(cCtx, vgo);
    vgo.initialize(hconf, null);
    out.setOutputInspector(new FakeCaptureOutputOperator.OutputInspector() {

        private int rowIndex;

        private String aggregateName;

        private HashMap<Object, Object> expected;

        private Set<Object> keys;

        @SuppressWarnings("deprecation")
        @Override
        public void inspectRow(Object row, int tag) throws HiveException {
            assertTrue(row instanceof Object[]);
            Object[] fields = (Object[]) row;
            assertEquals(2, fields.length);
            Object key = fields[0];
            String keyValue = null;
            if (null != key) {
                assertTrue(key instanceof Text);
                Text bwKey = (Text) key;
                keyValue = bwKey.toString();
            }
            assertTrue(expected.containsKey(keyValue));
            Object expectedValue = expected.get(keyValue);
            Object value = fields[1];
            Validator validator = getValidator(aggregateName);
            String keyAsString = String.format("%s", key);
            validator.validate(keyAsString, expectedValue, new Object[] { value });
            keys.add(keyValue);
        }

        private FakeCaptureOutputOperator.OutputInspector init(String aggregateName, HashMap<Object, Object> expected, Set<Object> keys) {
            this.aggregateName = aggregateName;
            this.expected = expected;
            this.keys = keys;
            return this;
        }
    }.init(aggregateName, expected, keys));
    for (VectorizedRowBatch unit : data) {
        vgo.process(unit, 0);
    }
    vgo.close(false);
    List<Object> outBatchList = out.getCapturedRows();
    assertNotNull(outBatchList);
    assertEquals(expected.size(), outBatchList.size());
    assertEquals(expected.size(), keys.size());
}

Example 4 with FakeCaptureOutputOperator

use of org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator in project hive by apache.

the class TestVectorGroupByOperator method testAggregateCountStarIterable.

public void testAggregateCountStarIterable(Iterable<VectorizedRowBatch> data, Object expected) throws HiveException {
    List<String> mapColumnNames = new ArrayList<String>();
    mapColumnNames.add("A");
    VectorizationContext ctx = new VectorizationContext("name", mapColumnNames);
    GroupByDesc desc = buildGroupByDescCountStar(ctx);
    ((VectorGroupByDesc) desc.getVectorDesc()).setProcessingMode(ProcessingMode.HASH);
    CompilationOpContext cCtx = new CompilationOpContext();
    Operator<? extends OperatorDesc> groupByOp = OperatorFactory.get(cCtx, desc);
    VectorGroupByOperator vgo = (VectorGroupByOperator) Vectorizer.vectorizeGroupByOperator(groupByOp, ctx);
    FakeCaptureOutputOperator out = FakeCaptureOutputOperator.addCaptureOutputChild(cCtx, vgo);
    vgo.initialize(hconf, null);
    for (VectorizedRowBatch unit : data) {
        vgo.process(unit, 0);
    }
    vgo.close(false);
    List<Object> outBatchList = out.getCapturedRows();
    assertNotNull(outBatchList);
    assertEquals(1, outBatchList.size());
    Object result = outBatchList.get(0);
    Validator validator = getValidator("count");
    validator.validate("_total", expected, result);
}

Example 5 with FakeCaptureOutputOperator

use of org.apache.hadoop.hive.ql.exec.vector.util.FakeCaptureOutputOperator in project hive by apache.

the class TestVectorGroupByOperator method testAggregateDoubleIterable.

public void testAggregateDoubleIterable(String aggregateName, Iterable<VectorizedRowBatch> data, Object expected) throws HiveException {
    List<String> mapColumnNames = new ArrayList<String>();
    mapColumnNames.add("A");
    VectorizationContext ctx = new VectorizationContext("name", mapColumnNames);
    GroupByDesc desc = buildGroupByDescType(ctx, aggregateName, GenericUDAFEvaluator.Mode.PARTIAL1, "A", TypeInfoFactory.doubleTypeInfo);
    CompilationOpContext cCtx = new CompilationOpContext();
    Operator<? extends OperatorDesc> groupByOp = OperatorFactory.get(cCtx, desc);
    VectorGroupByOperator vgo = (VectorGroupByOperator) Vectorizer.vectorizeGroupByOperator(groupByOp, ctx);
    FakeCaptureOutputOperator out = FakeCaptureOutputOperator.addCaptureOutputChild(cCtx, vgo);
    vgo.initialize(hconf, null);
    for (VectorizedRowBatch unit : data) {
        vgo.process(unit, 0);
    }
    vgo.close(false);
    List<Object> outBatchList = out.getCapturedRows();
    assertNotNull(outBatchList);
    assertEquals(1, outBatchList.size());
    Object result = outBatchList.get(0);
    Validator validator = getValidator(aggregateName);
    validator.validate("_total", expected, result);
}