Github user gparai commented on a diff in the pull request:
https://github.com/apache/drill/pull/729#discussion_r101176671
--- Diff:
exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/statistics/StatisticsMergeBatch.java
---
@@ -0,0 +1,532 @@
+/**
+ * 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
+ * <p/>
+ * http://www.apache.org/licenses/LICENSE-2.0
+ * <p/>
+ * 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.exec.physical.impl.statistics;
+
+import com.google.common.collect.Lists;
+import com.google.common.collect.Maps;
+import org.apache.drill.common.expression.LogicalExpression;
+import org.apache.drill.common.expression.ErrorCollector;
+import org.apache.drill.common.expression.ErrorCollectorImpl;
+import org.apache.drill.common.expression.FunctionCallFactory;
+import org.apache.drill.common.expression.SchemaPath;
+import org.apache.drill.common.expression.ValueExpressions;
+import org.apache.drill.common.types.TypeProtos;
+import org.apache.drill.common.types.TypeProtos.MajorType;
+import org.apache.drill.exec.exception.OutOfMemoryException;
+import org.apache.drill.exec.exception.SchemaChangeException;
+import org.apache.drill.exec.expr.ExpressionTreeMaterializer;
+import org.apache.drill.exec.expr.TypeHelper;
+import org.apache.drill.exec.expr.holders.BigIntHolder;
+import org.apache.drill.exec.expr.holders.NullableFloat8Holder;
+import org.apache.drill.exec.expr.holders.ObjectHolder;
+import org.apache.drill.exec.expr.holders.ValueHolder;
+import org.apache.drill.exec.ops.FragmentContext;
+import org.apache.drill.exec.physical.config.StatisticsMerge;
+import org.apache.drill.exec.record.AbstractSingleRecordBatch;
+import org.apache.drill.exec.record.MaterializedField;
+import org.apache.drill.exec.record.RecordBatch;
+import org.apache.drill.exec.record.TransferPair;
+import org.apache.drill.exec.record.VectorContainer;
+import org.apache.drill.exec.record.VectorWrapper;
+import org.apache.drill.exec.vector.ValueVector;
+import org.apache.drill.exec.vector.DateVector;
+import org.apache.drill.exec.vector.BigIntVector;
+import org.apache.drill.exec.vector.NullableBigIntVector;
+import org.apache.drill.exec.vector.NullableFloat8Vector;
+import org.apache.drill.exec.vector.NullableVarBinaryVector;
+import org.apache.drill.exec.vector.VarCharVector;
+import org.apache.drill.exec.vector.complex.MapVector;
+
+import java.io.ByteArrayInputStream;
+import java.io.DataInputStream;
+import java.io.IOException;
+import java.util.List;
+import java.util.GregorianCalendar;
+import java.util.HashMap;
+import java.util.Map;
+import java.util.TimeZone;
+
+import com.clearspring.analytics.stream.cardinality.HyperLogLog;
+
+public class StatisticsMergeBatch extends
AbstractSingleRecordBatch<StatisticsMerge> {
+ private static final org.slf4j.Logger logger =
org.slf4j.LoggerFactory.getLogger(StatisticsMergeBatch.class);
+ private Map<String, String> functions;
+ private boolean first = true;
+ private boolean finished = false;
+ private int schema = 0;
+ private int recordCount = 0;
+ private List<String> keyList = null;
+ private Map<MaterializedField, ValueVector> dataSrcVecMap = null;
+ // Map of non-map fields to VV in the incoming schema
+ private Map<MaterializedField, ValueVector> copySrcVecMap = null;
+ private Map<String, Map<String, ValueHolder>> aggregationMap = null;
+ public StatisticsMergeBatch(StatisticsMerge popConfig, RecordBatch
incoming,
+ FragmentContext context) throws
OutOfMemoryException {
+ super(popConfig, context, incoming);
+ this.functions = new HashMap<>();
+ this.aggregationMap = new HashMap<>();
+
+ /*for (String key : popConfig.getFunctions()) {
+ aggregationMap.put(key, new HashMap<String, ValueHolder>());
+ if (key.equalsIgnoreCase("statcount") ||
key.equalsIgnoreCase("nonnullstatcount")) {
+ functions.put(key, "sum");
+ } else if (key.equalsIgnoreCase("hll")) {
+ functions.put(key, "hll_merge");
+ } else if (key.equalsIgnoreCase("sum_width")) {
+ functions.put(key, "avg_width");
+ }
+ }*/
+ for (String key : popConfig.getFunctions()) {
+ if (key.equalsIgnoreCase("sum_width")) {
+ functions.put(key, "avg_width");
+ } else if (key.equalsIgnoreCase("hll")) {
+ functions.put(key, "hll_merge");
+ } else {
+ functions.put(key, key);
+ }
+ aggregationMap.put(functions.get(key), new HashMap<String,
ValueHolder>());
+ }
+ }
+
+ private void createKeyColumn(String name, LogicalExpression expr,
Map<MaterializedField, ValueVector> parentMap)
+ throws SchemaChangeException {
+ ErrorCollector collector = new ErrorCollectorImpl();
+
+ LogicalExpression mle = ExpressionTreeMaterializer.materialize(expr,
incoming, collector,
+ context.getFunctionRegistry());
+
+ MaterializedField outputField = MaterializedField.create(name,
mle.getMajorType());
+ ValueVector vector = TypeHelper.getNewVector(outputField,
oContext.getAllocator());
+ container.add(vector);
+
+ if (collector.hasErrors()) {
+ throw new SchemaChangeException("Failure while materializing
expression. "
+ + collector.toErrorString());
+ }
+ parentMap.put(outputField, vector);
+ }
+
+ private ValueVector addMapVector(String name, MapVector parent,
LogicalExpression expr) throws SchemaChangeException {
+ ErrorCollector collector = new ErrorCollectorImpl();
+
+ LogicalExpression mle = ExpressionTreeMaterializer.materialize(expr,
incoming, collector,
+ context.getFunctionRegistry());
+
+ Class<? extends ValueVector> vvc =
+ TypeHelper.getValueVectorClass(mle.getMajorType().getMinorType(),
mle.getMajorType().getMode());
+ ValueVector vector = parent.addOrGet(name, mle.getMajorType(), vvc);
+
+ if (collector.hasErrors()) {
+ throw new SchemaChangeException("Failure while materializing
expression. "
+ + collector.toErrorString());
+ }
+ return vector;
+ }
+
+ /**
+ * Identify the list of fields within a map which are unpivoted as
columns in output
+ */
+ private void buildKeyList() {
+ List<String> lastMapKeyList = null;
+ for (VectorWrapper<?> vw : incoming) {
+ if (vw.getField().getType().getMinorType() !=
TypeProtos.MinorType.MAP) {
+ continue;
+ }
+
+ keyList = Lists.newArrayList();
+
+ for (ValueVector vv : vw.getValueVector()) {
+ keyList.add(vv.getField().getLastName());
+ }
+
+ if (lastMapKeyList == null) {
+ lastMapKeyList = keyList;
+ } else {
+ if (keyList.size() != lastMapKeyList.size() ||
!lastMapKeyList.containsAll(keyList)) {
+ throw new UnsupportedOperationException("Maps have different
fields");
--- End diff --
Done
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