sohami commented on a change in pull request #1344: DRILL-6461: Added basic 
data correctness tests for hash agg, and improved operator unit testing 
framework.
URL: https://github.com/apache/drill/pull/1344#discussion_r211048926
 
 

 ##########
 File path: 
exec/java-exec/src/test/java/org/apache/drill/test/OperatorTestBuilder.java
 ##########
 @@ -0,0 +1,300 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.drill.test;
+
+import com.google.common.base.Preconditions;
+import org.apache.commons.lang3.mutable.MutableInt;
+import org.apache.drill.exec.physical.base.AbstractBase;
+import org.apache.drill.exec.physical.base.PhysicalOperator;
+import org.apache.drill.exec.physical.impl.BatchCreator;
+import org.apache.drill.exec.physical.impl.MockRecordBatch;
+import org.apache.drill.exec.physical.impl.svremover.Copier;
+import org.apache.drill.exec.physical.impl.svremover.GenericCopier;
+import org.apache.drill.exec.record.CloseableRecordBatch;
+import org.apache.drill.exec.record.RecordBatch;
+import org.apache.drill.exec.record.RecordBatchSizer;
+import org.apache.drill.exec.record.VectorContainer;
+import org.apache.drill.exec.vector.FixedWidthVector;
+import org.apache.drill.exec.vector.ValueVector;
+import org.apache.drill.exec.vector.VariableWidthVector;
+import org.apache.drill.test.rowSet.DirectRowSet;
+import org.apache.drill.test.rowSet.IndirectRowSet;
+import org.apache.drill.test.rowSet.RowSet;
+import org.apache.drill.test.rowSet.RowSetComparison;
+import org.junit.Assert;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Optional;
+import java.util.stream.Collectors;
+
+public class OperatorTestBuilder {
+
+  private static final org.slf4j.Logger logger = 
org.slf4j.LoggerFactory.getLogger(OperatorTestBuilder.class);
+
+  private final List<RowSet> expectedResults = new ArrayList<>();
+  private final List<MockRecordBatch> upstreamBatches = new ArrayList<>();
+  private PhysicalOpUnitTestBase physicalOpUnitTestBase;
+
+  private PhysicalOperator physicalOperator;
+  private long initReservation = AbstractBase.INIT_ALLOCATION;
+  private long maxAllocation = AbstractBase.MAX_ALLOCATION;
+  private Optional<Integer> expectedNumBatchesOpt = Optional.empty();
+  private Optional<Integer> expectedTotalRowsOpt = Optional.empty();
+  private boolean combineOutputBatches;
+
+  public OperatorTestBuilder(PhysicalOpUnitTestBase physicalOpUnitTestBase) {
+    this.physicalOpUnitTestBase = physicalOpUnitTestBase;
+  }
+
+  @SuppressWarnings({"unchecked", "resource"})
+  public void go() throws Exception {
+    final List<RowSet> actualResults = new ArrayList<>();
+    CloseableRecordBatch testOperator = null;
+
+    try {
+      validate();
+      int expectedNumBatches = 
expectedNumBatchesOpt.orElse(expectedResults.size());
+      physicalOpUnitTestBase.mockOpContext(physicalOperator, initReservation, 
maxAllocation);
+
+      final BatchCreator<PhysicalOperator> opCreator = 
(BatchCreator<PhysicalOperator>) 
physicalOpUnitTestBase.opCreatorReg.getOperatorCreator(physicalOperator.getClass());
+      testOperator = opCreator.getBatch(physicalOpUnitTestBase.fragContext, 
physicalOperator, (List)upstreamBatches);
+
+      batchIterator: for (int batchIndex = 0;; batchIndex++) {
+        final RecordBatch.IterOutcome outcome = testOperator.next();
+
+        switch (outcome) {
+          case NONE:
+            if (!combineOutputBatches) {
+              Assert.assertEquals(expectedNumBatches, batchIndex);
+            }
+            // We are done iterating over batches. Now we need to compare them.
+            break batchIterator;
+          case OK_NEW_SCHEMA:
+            boolean skip = true;
+
+            try {
+              skip = testOperator.getContainer().getRecordCount() == 0;
+            } catch (IllegalStateException e) {
+              // We should skip this batch in this case. It means no data was 
included with the okay schema
+            } finally {
+              if (skip) {
+                batchIndex--;
+                break;
+              }
+            }
+          case OK:
+            if (!combineOutputBatches && batchIndex >= expectedNumBatches) {
+              testOperator.getContainer().clear();
+              Assert.fail("More batches received than expected.");
+            } else {
+              final boolean hasSelectionVector = 
testOperator.getSchema().getSelectionVectorMode().hasSelectionVector;
+              final VectorContainer container = testOperator.getContainer();
+
+              if (hasSelectionVector) {
+                
actualResults.add(IndirectRowSet.fromSv2(testOperator.getContainer(), 
testOperator.getSelectionVector2()));
+              } else {
+                actualResults.add(DirectRowSet.fromContainer(container));
+              }
+              break;
+            }
+          default:
+            throw new UnsupportedOperationException("Can't handle this yet");
+        }
+      }
+
+      int actualTotalRows = actualResults.stream()
+        .map(rowSet -> rowSet.rowCount())
+        .reduce((Integer countA, Integer countB) -> countA + countB)
+        .orElse(0);
+
+      if (expectedResults.isEmpty()) {
+        Assert.assertEquals((int) expectedTotalRowsOpt.orElse(0), 
actualTotalRows);
+        // We are done, we don't have any expected result to compare
+        return;
+      }
+
+      if (combineOutputBatches) {
+        final RowSet expectedBatch = expectedResults.get(0);
+        final RowSet actualBatch = DirectRowSet.fromSchema(
+          physicalOpUnitTestBase.operatorFixture.allocator, 
expectedBatch.schema());
+        final VectorContainer actualBatchContainer = actualBatch.container();
+        actualBatchContainer.setRecordCount(0);
+
+        final int numColumns = expectedBatch.schema().size();
+        List<MutableInt> totalBytesPerColumn = new ArrayList<>();
+
+        for (int columnIndex = 0; columnIndex < numColumns; columnIndex++) {
+          totalBytesPerColumn.add(new MutableInt());
+        }
+
+        // Get column sizes for each result batch
+
+        final List<List<RecordBatchSizer.ColumnSize>> columnSizesPerBatch = 
actualResults.stream().map(rowSet -> {
+          switch (rowSet.indirectionType()) {
+            case NONE:
+              return new RecordBatchSizer(rowSet.container()).columnsList();
+            case TWO_BYTE:
+              return new RecordBatchSizer(rowSet.container(), 
((RowSet.SingleRowSet) rowSet).getSv2()).columnsList();
+            default:
+              throw new UnsupportedOperationException();
+          }
+        }).collect(Collectors.toList());
+
+        // Get total bytes per column
+
+        for (List<RecordBatchSizer.ColumnSize> columnSizes: 
columnSizesPerBatch) {
+          for (int columnIndex = 0; columnIndex < numColumns; columnIndex++) {
+            final MutableInt totalBytes = totalBytesPerColumn.get(columnIndex);
+            final RecordBatchSizer.ColumnSize columnSize = 
columnSizes.get(columnIndex);
+            totalBytes.add(columnSize.getTotalDataSize());
+          }
+        }
+
+        for (int columnIndex = 0; columnIndex < numColumns; columnIndex++) {
+          final ValueVector valueVector = actualBatchContainer
+            .getValueVector(columnIndex)
+            .getValueVector();
+
+          if (valueVector instanceof FixedWidthVector) {
+            ((FixedWidthVector) valueVector).allocateNew(actualTotalRows);
+          } else if (valueVector instanceof VariableWidthVector) {
+            final MutableInt totalBytes = totalBytesPerColumn.get(columnIndex);
+            ((VariableWidthVector) 
valueVector).allocateNew(totalBytes.getValue(), actualTotalRows);
+          } else {
+            throw new UnsupportedOperationException();
+          }
+        }
+
+        try {
+          int currentIndex = 0;
+
+          for (RowSet actualRowSet: actualResults) {
+            final Copier copier;
+            final VectorContainer rowSetContainer = actualRowSet.container();
+            rowSetContainer.setRecordCount(actualRowSet.rowCount());
+
+            switch (actualRowSet.indirectionType()) {
+              case NONE:
+                copier = new GenericCopier();
+                break;
+              default:
+                throw new UnsupportedOperationException();
+            }
+
+            copier.setup(rowSetContainer, actualBatchContainer);
+            copier.appendRecords(currentIndex, actualRowSet.rowCount());
+            currentIndex += actualRowSet.rowCount();
+          }
+        } finally {
+          actualBatch.clear();
+        }
+      } else {
+        // Compare expected and actual results
+        for (int batchIndex = 0; batchIndex < expectedNumBatches; 
batchIndex++) {
+          final RowSet expectedBatch = expectedResults.get(batchIndex);
+          final RowSet actualBatch = actualResults.get(batchIndex);
+          new RowSetComparison(expectedBatch).verify(actualBatch);
+        }
+      }
+    } finally {
+      // free resources
+
+      if (testOperator != null) {
+        testOperator.close();
+      }
+
+      actualResults.forEach(rowSet -> rowSet.clear());
+
+      if (expectedResults != null) {
+        expectedResults.forEach(rowSet -> rowSet.clear());
+      }
+
+      upstreamBatches.forEach(rowSetBatch -> {
+        try {
+          rowSetBatch.close();
+        } catch (Exception e) {
+          logger.error("Error while closing RowSetBatch", e);
+        }
+      });
+    }
+  }
+
+  /**
+   * Make sure the inputs are valid.
+   */
+  private void validate() {
+    if (combineOutputBatches) {
+      Preconditions.checkArgument(expectedResults.isEmpty() || 
expectedResults.size() == 1,
+        "The number of expected result batches needs to be zero or one when 
combining input batches");
+      Preconditions.checkArgument((expectedResults.isEmpty() && 
(!expectedNumBatchesOpt.isPresent() && expectedTotalRowsOpt.isPresent())) ||
 
 Review comment:
   makes sense. Thanks for explanation.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org


With regards,
Apache Git Services

Reply via email to