Examples with VectorAccessible org.apache.drill.exec.record.VectorAccessible used on opensource projects

Example 26 with VectorAccessible

use of org.apache.drill.exec.record.VectorAccessible in project drill by apache.

the class DrillTestWrapper method addToCombinedVectorResults.

/**
 * Add to result vectors and compare batch schema against expected schema while iterating batches.
 * @param batches
 * @param  expectedSchema: the expected schema the batches should contain. Through SchemaChangeException
 *                       if encounter different batch schema.
 * @param combinedVectors: the vectors to hold the values when iterate the batches.
 *
 * @return number of batches
 * @throws SchemaChangeException
 * @throws UnsupportedEncodingException
 */
public static int addToCombinedVectorResults(Iterable<VectorAccessible> batches, BatchSchema expectedSchema, Long expectedBatchSize, Integer expectedNumBatches, Map<String, List<Object>> combinedVectors, Integer expectedTotalRecords) throws SchemaChangeException {
    // TODO - this does not handle schema changes
    int numBatch = 0;
    long totalRecords = 0;
    BatchSchema schema = null;
    for (VectorAccessible loader : batches) {
        numBatch++;
        if (expectedSchema != null) {
            if (!expectedSchema.isEquivalent(loader.getSchema())) {
                throw new SchemaChangeException(String.format("Batch schema does not match expected schema\n" + "Actual schema: %s.  Expected schema : %s", loader.getSchema(), expectedSchema));
            }
        }
        if (expectedBatchSize != null) {
            RecordBatchSizer sizer = new RecordBatchSizer(loader);
            // Not checking actualSize as accounting is not correct when we do
            // split and transfer ownership across operators.
            Assert.assertTrue(sizer.getNetBatchSize() <= expectedBatchSize);
        }
        if (schema == null) {
            schema = loader.getSchema();
            for (MaterializedField mf : schema) {
                combinedVectors.put(SchemaPath.getSimplePath(mf.getName()).toExpr(), new ArrayList<>());
            }
        } else {
            // TODO - actually handle schema changes, this is just to get access to the SelectionVectorMode
            // of the current batch, the check for a null schema is used to only mutate the schema once
            // need to add new vectors and null fill for previous batches? distinction between null and non-existence important?
            schema = loader.getSchema();
        }
        logger.debug("reading batch with " + loader.getRecordCount() + " rows, total read so far " + totalRecords);
        totalRecords += loader.getRecordCount();
        for (VectorWrapper<?> w : loader) {
            String field = SchemaPath.getSimplePath(w.getField().getName()).toExpr();
            ValueVector[] vectors;
            if (w.isHyper()) {
                vectors = w.getValueVectors();
            } else {
                vectors = new ValueVector[] { w.getValueVector() };
            }
            SelectionVector2 sv2 = null;
            SelectionVector4 sv4 = null;
            switch(schema.getSelectionVectorMode()) {
                case TWO_BYTE:
                    sv2 = loader.getSelectionVector2();
                    break;
                case FOUR_BYTE:
                    sv4 = loader.getSelectionVector4();
                    break;
                default:
            }
            if (sv4 != null) {
                for (int j = 0; j < sv4.getCount(); j++) {
                    int complexIndex = sv4.get(j);
                    int batchIndex = complexIndex >> 16;
                    int recordIndexInBatch = complexIndex & 65535;
                    Object obj = vectors[batchIndex].getAccessor().getObject(recordIndexInBatch);
                    if (obj != null) {
                        if (obj instanceof Text) {
                            obj = obj.toString();
                        }
                    }
                    combinedVectors.get(field).add(obj);
                }
            } else {
                for (ValueVector vv : vectors) {
                    for (int j = 0; j < loader.getRecordCount(); j++) {
                        int index;
                        if (sv2 != null) {
                            index = sv2.getIndex(j);
                        } else {
                            index = j;
                        }
                        Object obj = vv.getAccessor().getObject(index);
                        if (obj != null) {
                            if (obj instanceof Text) {
                                obj = obj.toString();
                            }
                        }
                        combinedVectors.get(field).add(obj);
                    }
                }
            }
        }
    }
    if (expectedNumBatches != null) {
        // Based on how much memory is actually taken by value vectors (because of doubling stuff),
        // we have to do complex math for predicting exact number of batches.
        // Instead, check that number of batches is at least the minimum that is expected
        // and no more than twice of that.
        Assert.assertTrue(numBatch >= expectedNumBatches);
        Assert.assertTrue(numBatch <= (2 * expectedNumBatches));
    }
    if (expectedTotalRecords != null) {
        Assert.assertEquals(expectedTotalRecords.longValue(), totalRecords);
    }
    return numBatch;
}

Example 27 with VectorAccessible

use of org.apache.drill.exec.record.VectorAccessible in project drill by apache.

the class TestBatchValidator method testVariableMissingLast.

@Test
public void testVariableMissingLast() {
    TupleMetadata schema = new SchemaBuilder().add("a", MinorType.VARCHAR).buildSchema();
    SingleRowSet batch = fixture.rowSetBuilder(schema).addRow("x").addRow("y").addRow("z").build();
    // Here we are evil: stomp on the last offset to simulate corruption.
    // Don't do this in real code!
    VectorAccessible va = batch.vectorAccessible();
    ValueVector v = va.iterator().next().getValueVector();
    VarCharVector vc = (VarCharVector) v;
    UInt4Vector ov = vc.getOffsetVector();
    assertTrue(ov.getAccessor().get(3) > 0);
    ov.getMutator().set(3, 0);
    // Validator should catch the error.
    checkForError(batch, BAD_OFFSETS);
    batch.clear();
}

Example 28 with VectorAccessible

use of org.apache.drill.exec.record.VectorAccessible in project drill by apache.

the class TestOutputBatchSize method getExpectedSize.

/**
 *  Figures out what will be total size of the batches for a given Json input batch.
 */
private long getExpectedSize(List<String> expectedJsonBatches) throws ExecutionSetupException {
    // Create a dummy scanBatch to figure out the size.
    RecordBatch scanBatch = new ScanBatch(new MockPhysicalOperator(), fragContext, getReaderListForJsonBatches(expectedJsonBatches, fragContext));
    Iterable<VectorAccessible> batches = new BatchIterator(scanBatch);
    long totalSize = 0;
    for (VectorAccessible batch : batches) {
        RecordBatchSizer sizer = new RecordBatchSizer(batch);
        totalSize += sizer.getNetBatchSize();
    }
    return totalSize;
}

Example 29 with VectorAccessible

use of org.apache.drill.exec.record.VectorAccessible in project drill by apache.

the class TestOutputBatchSize method testSizerRepeatedList.

@Test
public void testSizerRepeatedList() throws Exception {
    List<String> inputJsonBatches = Lists.newArrayList();
    StringBuilder batchString = new StringBuilder();
    StringBuilder newString = new StringBuilder();
    newString.append("[ [1,2,3,4], [5,6,7,8] ]");
    numRows = 9;
    batchString.append("[");
    for (int i = 0; i < numRows; i++) {
        batchString.append("{\"c\" : " + newString);
        batchString.append("},");
    }
    batchString.append("{\"c\" : " + newString);
    batchString.append("}");
    batchString.append("]");
    inputJsonBatches.add(batchString.toString());
    // Create a dummy scanBatch to figure out the size.
    RecordBatch scanBatch = new ScanBatch(new MockPhysicalOperator(), fragContext, getReaderListForJsonBatches(inputJsonBatches, fragContext));
    VectorAccessible va = new BatchIterator(scanBatch).iterator().next();
    RecordBatchSizer sizer = new RecordBatchSizer(va);
    assertEquals(1, sizer.columns().size());
    RecordBatchSizer.ColumnSize column = sizer.columns().get("c");
    assertNotNull(column);
    /**
     * stdDataSize:8*5*5, stdNetSize:8*5*5 + 4*5 + 4*5 + 4,
     * dataSizePerEntry:8*8, netSizePerEntry:8*8 + 4*2 + 4,
     * totalDataSize:8*8*10, totalNetSize:netSizePerEntry*10, valueCount:10,
     * elementCount:10, estElementCountPerArray:1, isVariableWidth:false
     */
    assertEquals(200, column.getStdDataSizePerEntry());
    assertEquals(244, column.getStdNetSizePerEntry());
    assertEquals(64, column.getDataSizePerEntry());
    assertEquals(76, column.getNetSizePerEntry());
    assertEquals(640, column.getTotalDataSize());
    assertEquals(760, column.getTotalNetSize());
    assertEquals(10, column.getValueCount());
    assertEquals(20, column.getElementCount());
    assertEquals(2, column.getCardinality(), 0.01);
    assertEquals(false, column.isVariableWidth());
    final int testRowCount = 1000;
    final int testRowCountPowerTwo = 2048;
    for (VectorWrapper<?> vw : va) {
        ValueVector v = vw.getValueVector();
        v.clear();
        RecordBatchSizer.ColumnSize colSize = sizer.getColumn(v.getField().getName());
        // Allocates to nearest power of two
        colSize.allocateVector(v, testRowCount);
        // offset vector of delegate vector i.e. outer array should have row count number of values.
        UInt4Vector offsetVector = ((RepeatedListVector) v).getOffsetVector();
        assertEquals((Integer.highestOneBit(testRowCount) << 1), offsetVector.getValueCapacity());
        // Get inner vector of delegate vector.
        ValueVector vector = ((RepeatedValueVector) v).getDataVector();
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 4 (inner array cardinality) * row count number of values.
        ValueVector dataVector = ((RepeatedValueVector) vector).getDataVector();
        assertEquals(Integer.highestOneBit((testRowCount * 8) << 1), dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) vector).getOffsetVector();
        assertEquals((Integer.highestOneBit(testRowCount * 2) << 1), offsetVector.getValueCapacity());
        v.clear();
        // Allocates the same as value passed since it is already power of two.
        // -1 is done for adjustment needed for offset vector.
        colSize.allocateVector(v, testRowCountPowerTwo - 1);
        // offset vector of delegate vector i.e. outer array should have row count number of values.
        offsetVector = ((RepeatedListVector) v).getOffsetVector();
        assertEquals(testRowCountPowerTwo, offsetVector.getValueCapacity());
        // Get inner vector of delegate vector.
        vector = ((RepeatedValueVector) v).getDataVector();
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 4 (inner array cardinality) * row count number of values.
        dataVector = ((RepeatedValueVector) vector).getDataVector();
        assertEquals(testRowCountPowerTwo * 8, dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) vector).getOffsetVector();
        assertEquals(testRowCountPowerTwo * 2, offsetVector.getValueCapacity());
        v.clear();
        // MAX ROW COUNT
        colSize.allocateVector(v, ValueVector.MAX_ROW_COUNT - 1);
        // offset vector of delegate vector i.e. outer array should have row count number of values.
        offsetVector = ((RepeatedListVector) v).getOffsetVector();
        assertEquals(ValueVector.MAX_ROW_COUNT, offsetVector.getValueCapacity());
        // Get inner vector of delegate vector.
        vector = ((RepeatedValueVector) v).getDataVector();
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 4 (inner array cardinality) * row count number of values.
        dataVector = ((RepeatedValueVector) vector).getDataVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 8, dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) vector).getOffsetVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 2, offsetVector.getValueCapacity());
        v.clear();
        // MIN ROW COUNT
        colSize.allocateVector(v, 0);
        // offset vector of delegate vector i.e. outer array should have 1 value.
        offsetVector = ((RepeatedListVector) v).getOffsetVector();
        assertEquals(ValueVector.MIN_ROW_COUNT, offsetVector.getValueCapacity());
        // Get inner vector of delegate vector.
        vector = ((RepeatedValueVector) v).getDataVector();
        // Data vector of inner vector should have 1 value
        dataVector = ((RepeatedValueVector) vector).getDataVector();
        assertEquals(ValueVector.MIN_ROW_COUNT, dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * 1.
        offsetVector = ((RepeatedValueVector) vector).getOffsetVector();
        assertEquals(ValueVector.MIN_ROW_COUNT * 2, offsetVector.getValueCapacity());
        v.clear();
    }
}

Example 30 with VectorAccessible

use of org.apache.drill.exec.record.VectorAccessible in project drill by apache.

the class NestedLoopJoinBatch method setupWorker.

/**
 * Method generates the runtime code needed for NLJ. Other than the setup method to set the input and output value
 * vector references we implement three more methods
 * 1. doEval() -> Evaluates if record from left side matches record from the right side
 * 2. emitLeft() -> Project record from the left side
 * 3. emitRight() -> Project record from the right side (which is a hyper container)
 * @return the runtime generated class that implements the NestedLoopJoin interface
 */
private NestedLoopJoin setupWorker() {
    final CodeGenerator<NestedLoopJoin> nLJCodeGenerator = CodeGenerator.get(SETUP_LEFT_MAPPING, NestedLoopJoin.TEMPLATE_DEFINITION, context.getOptions());
    nLJCodeGenerator.plainJavaCapable(true);
    // Uncomment out this line to debug the generated code.
    // nLJCodeGenerator.saveCodeForDebugging(true);
    final ClassGenerator<NestedLoopJoin> nLJClassGenerator = nLJCodeGenerator.getRoot();
    // generate doEval
    final ErrorCollector collector = new ErrorCollectorImpl();
    /*
        Logical expression may contain fields from left and right batches. During code generation (materialization)
        we need to indicate from which input field should be taken.

        Non-equality joins can belong to one of below categories. For example:
        1. Join on non-equality join predicates:
        select * from t1 inner join t2 on (t1.c1 between t2.c1 AND t2.c2) AND (...)
        2. Join with an OR predicate:
        select * from t1 inner join t2 on on t1.c1 = t2.c1 OR t1.c2 = t2.c2
     */
    Map<VectorAccessible, BatchReference> batches = ImmutableMap.<VectorAccessible, BatchReference>builder().put(left, new BatchReference("leftBatch", "leftIndex")).put(rightContainer, new BatchReference("rightContainer", "rightBatchIndex", "rightRecordIndexWithinBatch")).build();
    LogicalExpression materialize = ExpressionTreeMaterializer.materialize(popConfig.getCondition(), batches, collector, context.getFunctionRegistry(), false, false);
    collector.reportErrors(logger);
    nLJClassGenerator.addExpr(new ReturnValueExpression(materialize), ClassGenerator.BlkCreateMode.FALSE);
    // generate emitLeft
    nLJClassGenerator.setMappingSet(emitLeftMapping);
    JExpression outIndex = JExpr.direct("outIndex");
    JExpression leftIndex = JExpr.direct("leftIndex");
    int fieldId = 0;
    int outputFieldId = 0;
    if (leftSchema != null) {
        // Set the input and output value vector references corresponding to the left batch
        for (MaterializedField field : leftSchema) {
            final TypeProtos.MajorType fieldType = field.getType();
            // Add the vector to the output container
            container.addOrGet(field);
            TypedFieldId inFieldId = new TypedFieldId.Builder().finalType(fieldType).hyper(false).addId(fieldId).build();
            JVar inVV = nLJClassGenerator.declareVectorValueSetupAndMember("leftBatch", inFieldId);
            TypedFieldId outFieldId = new TypedFieldId.Builder().finalType(fieldType).hyper(false).addId(outputFieldId).build();
            JVar outVV = nLJClassGenerator.declareVectorValueSetupAndMember("outgoing", outFieldId);
            nLJClassGenerator.getEvalBlock().add(outVV.invoke("copyFromSafe").arg(leftIndex).arg(outIndex).arg(inVV));
            nLJClassGenerator.rotateBlock();
            fieldId++;
            outputFieldId++;
        }
    }
    // generate emitRight
    fieldId = 0;
    nLJClassGenerator.setMappingSet(emitRightMapping);
    JExpression batchIndex = JExpr.direct("batchIndex");
    JExpression recordIndexWithinBatch = JExpr.direct("recordIndexWithinBatch");
    if (rightSchema != null) {
        // Set the input and output value vector references corresponding to the right batch
        for (MaterializedField field : rightSchema) {
            final TypeProtos.MajorType inputType = field.getType();
            TypeProtos.MajorType outputType;
            // if join type is LEFT, make sure right batch output fields data mode is optional
            if (popConfig.getJoinType() == JoinRelType.LEFT && inputType.getMode() == TypeProtos.DataMode.REQUIRED) {
                outputType = Types.overrideMode(inputType, TypeProtos.DataMode.OPTIONAL);
            } else {
                outputType = inputType;
            }
            MaterializedField newField = MaterializedField.create(field.getName(), outputType);
            container.addOrGet(newField);
            TypedFieldId inFieldId = new TypedFieldId.Builder().finalType(inputType).hyper(true).addId(fieldId).build();
            JVar inVV = nLJClassGenerator.declareVectorValueSetupAndMember("rightContainer", inFieldId);
            TypedFieldId outFieldId = new TypedFieldId.Builder().finalType(outputType).hyper(false).addId(outputFieldId).build();
            JVar outVV = nLJClassGenerator.declareVectorValueSetupAndMember("outgoing", outFieldId);
            nLJClassGenerator.getEvalBlock().add(outVV.invoke("copyFromSafe").arg(recordIndexWithinBatch).arg(outIndex).arg(inVV.component(batchIndex)));
            nLJClassGenerator.rotateBlock();
            fieldId++;
            outputFieldId++;
        }
    }
    return context.getImplementationClass(nLJCodeGenerator);
}