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none12 compression does not exist - none was meant #4

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none12 compression does not exist - none was meant #4

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b9bfa28
none12 compression does not exist - none was meant
lbruand Feb 27, 2021
d925138
Improved console output - showing the AQE status
lbruand Feb 27, 2021
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2 changes: 1 addition & 1 deletion src/main/scala/com/sparkbyexamples/spark/dataframe/examples/ReadORCFile.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ object ReadORCFile extends App{
.orc("/tmp/orc/data.orc")

df.write.mode("overwrite")
.option("compression","none12")
.option("compression","none")
.orc("/tmp/orc/data-nocomp.orc")

df.write.mode("overwrite")
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11 changes: 5 additions & 6 deletions ...byexamples/spark/spark30/ADQExample.scala → ...byexamples/spark/spark30/AQEExample.scala
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Expand Up @@ -2,7 +2,7 @@ package com.sparkbyexamples.spark.spark30

import org.apache.spark.sql.SparkSession

object ADQExample extends App{
object AQEExample extends App{

val spark: SparkSession = SparkSession.builder()
.master("local[5]")
Expand All @@ -25,12 +25,11 @@ object ADQExample extends App{
val df = simpleData.toDF("employee_name","department","state","salary","age","bonus")

val df1=df.groupBy("department").count()
println(df1.rdd.getNumPartitions)

spark.conf.set("spark.sql.adaptive.enabled",200)
val df2=df.groupBy("department").count()
println(df2.rdd.getNumPartitions)

println(s"Number of partitions in RDD (AQE=[${spark.conf.get("spark.sql.adaptive.enabled")}]) = [${df1.rdd.getNumPartitions}]")

spark.conf.set("spark.sql.adaptive.enabled", true)

val df2=df.groupBy("department").count()
println(s"Number of partitions in RDD (AQE=[${spark.conf.get("spark.sql.adaptive.enabled")}]) = [${df2.rdd.getNumPartitions}]")
}