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From cloud-fan <...@git.apache.org>
Subject [GitHub] spark pull request #16395: [SPARK-17075][SQL] implemented filter estimation
Date Thu, 16 Feb 2017 23:43:58 GMT
Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16395#discussion_r101655781
  
    --- Diff: sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/statsEstimation/FilterEstimationSuite.scala
---
    @@ -0,0 +1,376 @@
    +/*
    + * 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.catalyst.statsEstimation
    +
    +import java.sql.{Date, Timestamp}
    +
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.catalyst.plans.logical._
    +import org.apache.spark.sql.catalyst.plans.logical.statsEstimation.EstimationUtils._
    +import org.apache.spark.sql.catalyst.util.DateTimeUtils
    +import org.apache.spark.sql.types._
    +
    +/**
    + * In this test suite, we test predicates containing the following operators:
    + * =, <, <=, >, >=, AND, OR, IS NULL, IS NOT NULL, IN, NOT IN
    + */
    +class FilterEstimationSuite extends StatsEstimationTestBase {
    +
    +  // Suppose our test table has 10 rows and 6 columns.
    +  // First column cint has values: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    +  // Hence, distinctCount:10, min:1, max:10, nullCount:0, avgLen:4, maxLen:4
    +  val arInt = AttributeReference("cint", IntegerType)()
    +  val childColStatInt = ColumnStat(distinctCount = 10, min = Some(1), max = Some(10),
    +    nullCount = 0, avgLen = 4, maxLen = 4)
    +
    +  // Second column cdate has 10 values from 2017-01-01 through 2017-01-10.
    +  val dMin = Date.valueOf("2017-01-01")
    +  val dMax = Date.valueOf("2017-01-10")
    +  val arDate = AttributeReference("cdate", DateType)()
    +  val childColStatDate = ColumnStat(distinctCount = 10, min = Some(dMin), max = Some(dMax),
    +    nullCount = 0, avgLen = 4, maxLen = 4)
    +
    +  // Third column ctimestamp has 10 values from "2017-01-01 01:00:00" through
    +  // "2017-01-01 10:00:00" for 10 distinct timestamps (or hours).
    +  val tsMin = Timestamp.valueOf("2017-01-01 01:00:00")
    --- End diff --
    
    `DateType` and `TimestampType` has the same code path, we can only test one of them


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