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Posted to issues@carbondata.apache.org by jarray888 <gi...@git.apache.org> on 2017/03/06 09:12:42 UTC

[GitHub] incubator-carbondata pull request #624: [CARBONDATA-747][WIP] Add simple per...

Github user jarray888 commented on a diff in the pull request:

    https://github.com/apache/incubator-carbondata/pull/624#discussion_r104369679
  
    --- Diff: examples/spark2/src/main/scala/org/apache/carbondata/examples/CompareTest.scala ---
    @@ -0,0 +1,122 @@
    +/*
    + * 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.carbondata.examples
    +
    +import org.apache.spark.sql.{DataFrame, Row, SaveMode, SparkSession}
    +
    +import org.apache.carbondata.core.util.CarbonProperties
    +
    +// scalastyle:off println
    +object CompareTest {
    +
    +  val parquetTableName = "comparetest_parquet"
    +  val carbonTableName = "comparetest_carbon"
    +
    +  private def generateDataFrame(spark: SparkSession): DataFrame = {
    +    import spark.implicits._
    +    spark.sparkContext.parallelize(1 to 10 * 1000 * 1000, 4)
    +        .map(x => ("i" + x, "p" + x % 10, "j" + x % 100, x, x + 1, (x + 7) % 21, (x + 5) / 43, x
    +            * 5))
    +        .toDF("id", "country", "city", "c4", "c5", "c6", "c7", "c8")
    +  }
    +
    +  private def loadParquetTable(spark: SparkSession, input: DataFrame): Long = timeit {
    +    input.write.mode(SaveMode.Overwrite).parquet(parquetTableName)
    +  }
    +
    +  private def loadCarbonTable(spark: SparkSession, input: DataFrame): Long = {
    +    spark.sql(s"drop table if exists $carbonTableName")
    +    timeit {
    +      input.write
    +          .format("carbondata")
    +          .option("tableName", carbonTableName)
    +          .option("tempCSV", "false")
    +          .option("single_pass", "true")
    +          .option("dictionary_exclude", "id") // id is high cardinality column
    +          .mode(SaveMode.Overwrite)
    +          .save()
    +    }
    +  }
    +
    +  private def prepareTable(spark: SparkSession): Unit = {
    +    val df = generateDataFrame(spark).cache()
    +    println(s"loading dataframe into table, schema: ${df.schema}")
    +    val loadParquetTime = loadParquetTable(spark, df)
    +    val loadCarbonTime = loadCarbonTable(spark, df)
    +    println(s"load completed, time: $loadParquetTime, $loadCarbonTime")
    +    spark.read.parquet(parquetTableName).registerTempTable(parquetTableName)
    +  }
    +
    +  private def runQuery(spark: SparkSession): Unit = {
    +    val test = Array(
    +      "select count(*) from $table",
    +      "select sum(c4) from $table",
    +      "select sum(c4), sum(c5) from $table",
    +      "select sum(c4), sum(c5), sum(c6) from $table",
    +      "select sum(c4), sum(c5), sum(c6), sum(c7) from $table",
    +      "select sum(c4), sum(c5), sum(c6), sum(c7), avg(c8) from $table",
    +      "select * from $table where id = 'i9999999' ",
    +      "select * from $table where country = 'p9' ",
    +      "select * from $table where city = 'j99' ",
    +      "select * from $table where c4 < 1000 "
    --- End diff --
    
    please add more testcase, for example:
     "select sum(c4) from $table where id like 'i1%' "
     "select sum(c4) from $table where id like '%10' "
     "select sum(c4) from $table where id like '%xyz%' "



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