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From: paul-rogers <git@git.apache.org>
To: dev@drill.apache.org
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References: <git-pr-729-drill@git.apache.org>
In-Reply-To: <git-pr-729-drill@git.apache.org>
Subject: [GitHub] drill pull request #729: Drill 1328: Support table statistics for Parquet
Content-Type: text/plain
Message-Id: <20170211215715.71055F2179@git1-us-west.apache.org>
Date: Sat, 11 Feb 2017 21:57:15 +0000 (UTC)
archived-at: Sat, 11 Feb 2017 21:57:20 -0000

Github user paul-rogers commented on a diff in the pull request:

    https://github.com/apache/drill/pull/729#discussion_r100677240
  
    --- Diff: exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/statistics/StatisticsAggBatch.java ---
    @@ -0,0 +1,256 @@
    +/**
    + * 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.sun.codemodel.JExpr;
    +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.LogicalExpression;
    +import org.apache.drill.common.expression.SchemaPath;
    +import org.apache.drill.common.expression.ValueExpressions;
    +import org.apache.drill.exec.exception.ClassTransformationException;
    +import org.apache.drill.exec.exception.OutOfMemoryException;
    +import org.apache.drill.exec.exception.SchemaChangeException;
    +import org.apache.drill.exec.expr.ClassGenerator;
    +import org.apache.drill.exec.expr.CodeGenerator;
    +import org.apache.drill.exec.expr.ExpressionTreeMaterializer;
    +import org.apache.drill.exec.expr.TypeHelper;
    +import org.apache.drill.exec.expr.ValueVectorWriteExpression;
    +import org.apache.drill.exec.ops.FragmentContext;
    +import org.apache.drill.exec.physical.config.StatisticsAggregate;
    +import org.apache.drill.exec.physical.impl.aggregate.StreamingAggBatch;
    +import org.apache.drill.exec.physical.impl.aggregate.StreamingAggTemplate;
    +import org.apache.drill.exec.physical.impl.aggregate.StreamingAggregator;
    +import org.apache.drill.exec.planner.physical.StatsAggPrel.OperatorPhase;
    +import org.apache.drill.exec.record.BatchSchema.SelectionVectorMode;
    +import org.apache.drill.exec.record.MaterializedField;
    +import org.apache.drill.exec.record.RecordBatch;
    +import org.apache.drill.exec.record.TypedFieldId;
    +import org.apache.drill.exec.store.ImplicitColumnExplorer;
    +import org.apache.drill.exec.vector.ValueVector;
    +import org.apache.drill.exec.vector.complex.FieldIdUtil;
    +import org.apache.drill.exec.vector.complex.MapVector;
    +
    +import java.io.IOException;
    +import java.util.GregorianCalendar;
    +import java.util.List;
    +import java.util.TimeZone;
    +
    +/**
    + * TODO: This needs cleanup. Currently the key values are constants and we compare the constants
    + * for every record. Seems unnecessary.
    + *
    + * Example input and output:
    + * Schema of incoming batch: region_id (VARCHAR), sales_city (VARCHAR), cnt (BIGINT)
    + * Schema of output:
    + *    "schema" : BIGINT - Schema number. For each schema change this number is incremented.
    + *    "computed" : BIGINT - What time is it computed?
    + *    "columns"       : MAP - Column names
    + *       "region_id"  : VARCHAR
    + *       "sales_city" : VARCHAR
    + *       "cnt"        : VARCHAR
    + *    "statscount" : MAP
    + *       "region_id"  : BIGINT - statscount(region_id) - aggregation over all values of region_id
    + *                      in incoming batch
    + *       "sales_city" : BIGINT - statscount(sales_city)
    + *       "cnt"        : BIGINT - statscount(cnt)
    + *    "nonnullstatcount" : MAP
    + *       "region_id"  : BIGINT - nonnullstatcount(region_id)
    + *       "sales_city" : BIGINT - nonnullstatcount(sales_city)
    + *       "cnt"        : BIGINT - nonnullstatcount(cnt)
    + *   .... another map for next stats function ....
    + */
    +public class StatisticsAggBatch extends StreamingAggBatch {
    +  private List<String> functions;
    +  private int schema = 0;
    +
    +  public StatisticsAggBatch(StatisticsAggregate popConfig, RecordBatch incoming,
    +      FragmentContext context) throws OutOfMemoryException {
    +    super(popConfig, incoming, context);
    +    this.functions = popConfig.getFunctions();
    +  }
    +
    +  private void createKeyColumn(String name, LogicalExpression expr, List<LogicalExpression> keyExprs,
    +      List<TypedFieldId> keyOutputIds) 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());
    +
    +    keyExprs.add(mle);
    +    keyOutputIds.add(container.add(vector));
    +
    +    if (collector.hasErrors()) {
    +      throw new SchemaChangeException("Failure while materializing expression. "
    +          + collector.toErrorString());
    +    }
    +  }
    +
    +  private void createNestedKeyColumn(MapVector parent, String name, LogicalExpression expr,
    +      List<LogicalExpression> keyExprs, List<TypedFieldId> keyOutputIds)
    +          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 vv = parent.addOrGet(name, mle.getMajorType(), vvc);
    +
    +    TypedFieldId pfid = container.getValueVectorId(SchemaPath.getSimplePath(parent.getField().getPath()));
    +    assert pfid.getFieldIds().length == 1;
    +    TypedFieldId.Builder builder = TypedFieldId.newBuilder();
    +    builder.addId(pfid.getFieldIds()[0]);
    +    TypedFieldId id =
    +        FieldIdUtil.getFieldIdIfMatches(parent, builder, true,
    +            SchemaPath.getSimplePath(vv.getField().getPath()).getRootSegment());
    +
    +    keyExprs.add(mle);
    +    keyOutputIds.add(id);
    +
    +    if (collector.hasErrors()) {
    +      throw new SchemaChangeException("Failure while materializing expression. "
    +          + collector.toErrorString());
    +    }
    +  }
    +
    +  private void addMapVector(String name, MapVector parent, LogicalExpression expr,
    +      List<LogicalExpression> valueExprs) 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 vv = parent.addOrGet(name, mle.getMajorType(), vvc);
    +
    +    TypedFieldId pfid = container.getValueVectorId(SchemaPath.getSimplePath(parent.getField().getPath()));
    +    assert pfid.getFieldIds().length == 1;
    +    TypedFieldId.Builder builder = TypedFieldId.newBuilder();
    +    builder.addId(pfid.getFieldIds()[0]);
    +    TypedFieldId id = FieldIdUtil.getFieldIdIfMatches(parent, builder, true,
    +        SchemaPath.getSimplePath(vv.getField().getPath()).getRootSegment());
    +
    +    valueExprs.add(new ValueVectorWriteExpression(id, mle, true));
    +
    +    if (collector.hasErrors()) {
    --- End diff --
    
    Same comment as above.


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