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Posted to user@spark.apache.org by swetha <sw...@gmail.com> on 2015/11/18 08:51:56 UTC

How to return a pair RDD from an RDD that has foreachPartition applied?

Hi,

How to return an RDD of key/value pairs from an RDD that has
foreachPartition applied. I have my code something like the following. It
looks like an RDD that has foreachPartition can have only the return type as
Unit. How do I apply foreachPartition and do a save and at the same return a
pair RDD.

 def saveDataPointsBatchNew(records: RDD[(String, (Long,
java.util.LinkedHashMap[java.lang.Long,
java.lang.Float],java.util.LinkedHashMap[java.lang.Long, java.lang.Float],
java.util.HashSet[java.lang.String] , Boolean))])= {
    records.foreachPartition({ partitionOfRecords =>
      val dataLoader = new DataLoaderImpl();
      var metricList = new java.util.ArrayList[String]();
      var storageTimeStamp = 0l

      if (partitionOfRecords != null) {
        partitionOfRecords.foreach(record => {

            if (record._2._1 == 0l) {
                entrySet = record._2._3.entrySet()
                itr = entrySet.iterator();
                while (itr.hasNext()) {
                    val entry = itr.next();
                    storageTimeStamp = entry.getKey.toLong
                    val dayCounts = entry.getValue
                    metricsDayCounts += record._1 ->(storageTimeStamp,
dayCounts.toFloat)
                }
            }
           }
        }
        )
      }

      //Code to insert the last successful batch/streaming timestamp  ends
      dataLoader.saveDataPoints(metricList);
      metricList = null

    })
  }



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Re: How to return a pair RDD from an RDD that has foreachPartition applied?

Posted by Sathish Kumaran Vairavelu <vs...@gmail.com>.
I think you can use mapPartitions that returns PairRDDs followed by
forEachPartition for saving it

On Wed, Nov 18, 2015 at 9:31 AM swetha kasireddy <sw...@gmail.com>
wrote:

> Looks like I can use mapPartitions but can it be done using
> forEachPartition?
>
> On Tue, Nov 17, 2015 at 11:51 PM, swetha <sw...@gmail.com>
> wrote:
>
>> Hi,
>>
>> How to return an RDD of key/value pairs from an RDD that has
>> foreachPartition applied. I have my code something like the following. It
>> looks like an RDD that has foreachPartition can have only the return type
>> as
>> Unit. How do I apply foreachPartition and do a save and at the same
>> return a
>> pair RDD.
>>
>>  def saveDataPointsBatchNew(records: RDD[(String, (Long,
>> java.util.LinkedHashMap[java.lang.Long,
>> java.lang.Float],java.util.LinkedHashMap[java.lang.Long, java.lang.Float],
>> java.util.HashSet[java.lang.String] , Boolean))])= {
>>     records.foreachPartition({ partitionOfRecords =>
>>       val dataLoader = new DataLoaderImpl();
>>       var metricList = new java.util.ArrayList[String]();
>>       var storageTimeStamp = 0l
>>
>>       if (partitionOfRecords != null) {
>>         partitionOfRecords.foreach(record => {
>>
>>             if (record._2._1 == 0l) {
>>                 entrySet = record._2._3.entrySet()
>>                 itr = entrySet.iterator();
>>                 while (itr.hasNext()) {
>>                     val entry = itr.next();
>>                     storageTimeStamp = entry.getKey.toLong
>>                     val dayCounts = entry.getValue
>>                     metricsDayCounts += record._1 ->(storageTimeStamp,
>> dayCounts.toFloat)
>>                 }
>>             }
>>            }
>>         }
>>         )
>>       }
>>
>>       //Code to insert the last successful batch/streaming timestamp  ends
>>       dataLoader.saveDataPoints(metricList);
>>       metricList = null
>>
>>     })
>>   }
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-return-a-pair-RDD-from-an-RDD-that-has-foreachPartition-applied-tp25411.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
>> For additional commands, e-mail: user-help@spark.apache.org
>>
>>
>

Re: How to return a pair RDD from an RDD that has foreachPartition applied?

Posted by swetha kasireddy <sw...@gmail.com>.
Looks like I can use mapPartitions but can it be done using
forEachPartition?

On Tue, Nov 17, 2015 at 11:51 PM, swetha <sw...@gmail.com> wrote:

> Hi,
>
> How to return an RDD of key/value pairs from an RDD that has
> foreachPartition applied. I have my code something like the following. It
> looks like an RDD that has foreachPartition can have only the return type
> as
> Unit. How do I apply foreachPartition and do a save and at the same return
> a
> pair RDD.
>
>  def saveDataPointsBatchNew(records: RDD[(String, (Long,
> java.util.LinkedHashMap[java.lang.Long,
> java.lang.Float],java.util.LinkedHashMap[java.lang.Long, java.lang.Float],
> java.util.HashSet[java.lang.String] , Boolean))])= {
>     records.foreachPartition({ partitionOfRecords =>
>       val dataLoader = new DataLoaderImpl();
>       var metricList = new java.util.ArrayList[String]();
>       var storageTimeStamp = 0l
>
>       if (partitionOfRecords != null) {
>         partitionOfRecords.foreach(record => {
>
>             if (record._2._1 == 0l) {
>                 entrySet = record._2._3.entrySet()
>                 itr = entrySet.iterator();
>                 while (itr.hasNext()) {
>                     val entry = itr.next();
>                     storageTimeStamp = entry.getKey.toLong
>                     val dayCounts = entry.getValue
>                     metricsDayCounts += record._1 ->(storageTimeStamp,
> dayCounts.toFloat)
>                 }
>             }
>            }
>         }
>         )
>       }
>
>       //Code to insert the last successful batch/streaming timestamp  ends
>       dataLoader.saveDataPoints(metricList);
>       metricList = null
>
>     })
>   }
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-return-a-pair-RDD-from-an-RDD-that-has-foreachPartition-applied-tp25411.html
> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>
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> To unsubscribe, e-mail: user-unsubscribe@spark.apache.org
> For additional commands, e-mail: user-help@spark.apache.org
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>