[
https://issues.apache.org/jira/browse/SPARK-24078?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhangsongcheng updated SPARK-24078:
-----------------------------------
Description:
I try to sample the traning sets with each category，and then uion all samples
together.This is my code:
def balance4Single(dataSet: DataFrame): DataFrame = {
val samples = LabelConf.cardIDList.map { cardID =>
val tmpDataSet = dataSet.filter(col("card_id") === cardID)
val sample = underSample(tmpDataSet, cardID)
sample
}
samples.reduce((x, y) => x.unionAll(y))
}
def underSample(dataSet: DataFrame, cardID: String): DataFrame = {
val positiveSample = dataSet.filter(col("label") > 0.5).sample(false, 0.1)
val negativeSample = dataSet.filter(col("label") < 0.5).sample(false, 0.1)
positiveSample.unionAll(negativeSample).distinct()
}
But the code blocked in {{samples.reduce((x, y) => x.unionAll(y))}}, and it
runs slowly and slowly, and even cannot run any more.It confused me a long
time.Who can help me? Than you!
was:
I try to sample the traning sets with each category，and then uion all samples
together.This is my code:
{{ def balanceCategory(dataSet: DataFrame): DataFrame = }}
{{{}}
val samples = LabelConf.categories.map {
category =>
{{ val tmpDataSet = dataSet.filter(col("category_id") === category)}}
val sample = underSample(tmpDataSet, category)
sample
}
{{ samples.reduce((x, y) => x.unionAll(y))}}
}
{{ def underSample(dataSet: DataFrame, cardID: String): DataFrame = {
val positiveSample = dataSet.filter(col("label") > 0.5).sample(false, 0.1)}}
{{ val negativeSample = dataSet.filter(col("label") < 0.5).sample(false,
0.1)}}
{{ val positiveSample.unionAll(negativeSample)}}
}
But the code blocked in `{{samples.reduce((x, y) => x.unionAll(y))`}}, and it
runs slowly and slowly, and even cannot run any more.It confused me a long
time.Who can help me? Than you!
> reduce with unionAll takes a long time
> --------------------------------------
>
> Key: SPARK-24078
> URL: https://issues.apache.org/jira/browse/SPARK-24078
> Project: Spark
> Issue Type: Bug
> Components: Build
> Affects Versions: 1.6.3
> Reporter: zhangsongcheng
> Priority: Major
>
> I try to sample the traning sets with each category，and then uion all samples
> together.This is my code:
> def balance4Single(dataSet: DataFrame): DataFrame = {
> val samples = LabelConf.cardIDList.map { cardID =>
> val tmpDataSet = dataSet.filter(col("card_id") === cardID)
> val sample = underSample(tmpDataSet, cardID)
> sample
> }
> samples.reduce((x, y) => x.unionAll(y))
> }
> def underSample(dataSet: DataFrame, cardID: String): DataFrame = {
> val positiveSample = dataSet.filter(col("label") > 0.5).sample(false, 0.1)
> val negativeSample = dataSet.filter(col("label") < 0.5).sample(false, 0.1)
> positiveSample.unionAll(negativeSample).distinct()
> }
> But the code blocked in {{samples.reduce((x, y) => x.unionAll(y))}}, and it
> runs slowly and slowly, and even cannot run any more.It confused me a long
> time.Who can help me? Than you!
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