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

Example 1 with RecordBatchSizer

use of org.apache.drill.exec.record.RecordBatchSizer in project drill by axbaretto.

the class TestOutputBatchSize method testSizerRepeatedRepeatedList.

@Test
public void testSizerRepeatedRepeatedList() 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]], [[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*10*10*10, stdNetSize:8*10*10*10 + 8*10*10 + 8*10 + 4,
     * dataSizePerEntry:16*8, netSizePerEntry:16*8 + 16*4 + 4*2 + 4*2,
     * totalDataSize:16*8*10, totalNetSize:netSizePerEntry*10, valueCount:10,
     * elementCount:10, estElementCountPerArray:1, isVariableWidth:false
     */
    assertEquals(8000, column.getStdDataSizePerEntry());
    assertEquals(8884, column.getStdNetSizePerEntry());
    assertEquals(128, column.getDataSizePerEntry());
    assertEquals(156, column.getNetSizePerEntry());
    assertEquals(1280, column.getTotalDataSize());
    assertEquals(1560, 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 data vector of delegate vector. This is repeated list again
        ValueVector dataVector = ((RepeatedListVector) v).getDataVector();
        // offset vector of delegate vector of the inner repeated list
        // This should have row count * 2 number of values.
        offsetVector = ((RepeatedListVector) dataVector).getOffsetVector();
        assertEquals((Integer.highestOneBit(testRowCount * 2) << 1), offsetVector.getValueCapacity());
        // Data vector of inner vector should have row count * 2 number of values - 1 (for offset vector adjustment).
        ValueVector innerDataVector = ((RepeatedValueVector) dataVector).getDataVector();
        assertEquals((Integer.highestOneBit((testRowCount * 2) << 1) - 1), dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * 2 (inner array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) innerDataVector).getOffsetVector();
        assertEquals((Integer.highestOneBit(testRowCount * 4) << 1), offsetVector.getValueCapacity());
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 2 (inner array cardinality)  * row count number of values.
        dataVector = ((RepeatedValueVector) innerDataVector).getDataVector();
        assertEquals(Integer.highestOneBit(testRowCount << 1) * 16, dataVector.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 data vector of delegate vector. This is repeated list again
        dataVector = ((RepeatedListVector) v).getDataVector();
        // offset vector of delegate vector of the inner repeated list
        // This should have row count * 2 number of values.
        offsetVector = ((RepeatedListVector) dataVector).getOffsetVector();
        assertEquals(testRowCountPowerTwo * 2, offsetVector.getValueCapacity());
        // Data vector of inner vector should have row count * 2 number of values - 1 (for offset vector adjustment).
        innerDataVector = ((RepeatedValueVector) dataVector).getDataVector();
        assertEquals(testRowCountPowerTwo * 2 - 1, dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * 2 (inner array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) innerDataVector).getOffsetVector();
        assertEquals(testRowCountPowerTwo * 4, offsetVector.getValueCapacity());
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 2 (inner array cardinality)  * row count number of values.
        dataVector = ((RepeatedValueVector) innerDataVector).getDataVector();
        assertEquals(testRowCountPowerTwo * 16, dataVector.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 data vector of delegate vector. This is repeated list again
        dataVector = ((RepeatedListVector) v).getDataVector();
        // offset vector of delegate vector of the inner repeated list
        // This should have row count * 2 number of values.
        offsetVector = ((RepeatedListVector) dataVector).getOffsetVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 2, offsetVector.getValueCapacity());
        // Data vector of inner vector should have row count * 2 number of values - 1 (for offset vector adjustment).
        innerDataVector = ((RepeatedValueVector) dataVector).getDataVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 2 - 1, dataVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * 2 (inner array cardinality) * row count number of values.
        offsetVector = ((RepeatedValueVector) innerDataVector).getOffsetVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 4, offsetVector.getValueCapacity());
        // Data vector of inner vector should
        // have 2 (outer array cardinality) * 2 (inner array cardinality)  * row count number of values.
        dataVector = ((RepeatedValueVector) innerDataVector).getDataVector();
        assertEquals(ValueVector.MAX_ROW_COUNT * 16, dataVector.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 data vector of delegate vector. This is repeated list again
        dataVector = ((RepeatedListVector) v).getDataVector();
        // offset vector of delegate vector of the inner repeated list
        offsetVector = ((RepeatedListVector) dataVector).getOffsetVector();
        assertEquals(ValueVector.MIN_ROW_COUNT, offsetVector.getValueCapacity());
        // offset vector of inner vector should have
        // 2 (outer array cardinality) * 1.
        offsetVector = ((RepeatedValueVector) innerDataVector).getOffsetVector();
        assertEquals(ValueVector.MIN_ROW_COUNT * 2, offsetVector.getValueCapacity());
        // Data vector of inner vector should 1 value.
        dataVector = ((RepeatedValueVector) innerDataVector).getDataVector();
        assertEquals(ValueVector.MIN_ROW_COUNT, dataVector.getValueCapacity());
        v.clear();
    }
}

Example 2 with RecordBatchSizer

use of org.apache.drill.exec.record.RecordBatchSizer in project drill by axbaretto.

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) throws SchemaChangeException, UnsupportedEncodingException {
    // 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.netSize() <= expectedBatchSize);
        }
        // SchemaChangeException, so check/clean throws clause above.
        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;
            }
            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));
    }
    return numBatch;
}

Example 3 with RecordBatchSizer

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

the class SortImpl method analyzeIncomingBatch.

/**
 * Scan the vectors in the incoming batch to determine batch size.
 *
 * @return an analysis of the incoming batch
 */
private void analyzeIncomingBatch(VectorAccessible incoming) {
    sizer = new RecordBatchSizer(incoming);
    sizer.applySv2();
    if (metrics.getInputBatchCount() == 0) {
        logger.debug("{}", sizer.toString());
    }
}

Example 4 with RecordBatchSizer

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

the class BatchSizePredictorImpl method updateStats.

@Override
public void updateStats() {
    final RecordBatchSizer batchSizer = new RecordBatchSizer(batch);
    numRecords = batchSizer.rowCount();
    updatedStats = true;
    hasData = numRecords > 0;
    if (hasData) {
        batchSize = getBatchSizeEstimate(batch);
    }
}

Example 5 with RecordBatchSizer

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

the class BatchSizePredictorImpl method getBatchSizeEstimate.

public static long getBatchSizeEstimate(final RecordBatch recordBatch) {
    final RecordBatchSizer sizer = new RecordBatchSizer(recordBatch);
    long size = 0L;
    for (Map.Entry<String, RecordBatchSizer.ColumnSize> column : sizer.columns().entrySet()) {
        size += computeValueVectorSize(recordBatch.getRecordCount(), column.getValue().getStdNetOrNetSizePerEntry());
    }
    return size;
}