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Posted to reviews@spark.apache.org by rxin <gi...@git.apache.org> on 2017/01/06 05:28:15 UTC

[GitHub] spark pull request #16430: [SPARK-17077] [SQL] Cardinality estimation for pr...

Github user rxin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16430#discussion_r94901694
  
    --- Diff: sql/core/src/test/scala/org/apache/spark/sql/estimation/EstimationSuite.scala ---
    @@ -0,0 +1,81 @@
    +/*
    + * 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.spark.sql.estimation
    +
    +import org.apache.spark.sql.QueryTest
    +import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeMap}
    +import org.apache.spark.sql.catalyst.plans.logical._
    +import org.apache.spark.sql.catalyst.plans.logical.estimation.EstimationUtils._
    +import org.apache.spark.sql.test.SharedSQLContext
    +
    +
    +/**
    + * End-to-end suite testing statistics estimation for logical operators.
    + */
    +class EstimationSuite extends QueryTest with SharedSQLContext {
    +  import testImplicits._
    +
    +  /** Table info: all estimation tests are conducted on these tables. */
    +  private val estimationTestData = Seq(
    +    ("estimation_test1", Seq("key11", "key12"), Seq[(Int, Int)]((1, 10), (2, 10))))
    +
    +  /** Original column stats */
    +  val colStatForKey11 = ColumnStat(2, Some(1), Some(2), 0, 4, 4)
    +  val colStatForKey12 = ColumnStat(1, Some(10), Some(10), 0, 4, 4)
    +
    +  override def beforeAll(): Unit = {
    --- End diff --
    
    in order to write a unit test, can we create a logical plan node with a some fake statistics that's passed in? that way we don't need everything end to end and can even put this in the catalyst package.



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