Re: Equally split a RDD partition into two partition at the same node

Hi Jasbir, Yes, you are right. Do you have any idea about my question? Thanks, Fei On Mon, Jan 16, 2017 at 12:37 AM, wrote: > Hi, > > > > Coalesce is used to decrease the number of partitions. If you give the > value of numPartitions greater than the current

RE: Equally split a RDD partition into two partition at the same node

Hi, Coalesce is used to decrease the number of partitions. If you give the value of numPartitions greater than the current partition, I don’t think RDD number of partitions will be increased. Thanks, Jasbir From: Fei Hu [mailto:hufe...@gmail.com] Sent: Sunday, January 15, 2017 10:10 PM To:

Re: Error at starting Phoenix shell with HBase

Any updates for the above error guys ? On Fri, Jan 13, 2017 at 9:35 PM, Josh Elser wrote: > (-cc dev@phoenix) > > phoenix-4.8.2-HBase-1.2-server.jar in the top-level binary tarball of > Apache Phoenix 4.8.0 is the jar which is meant to be deployed to all > HBase's classpath.

Re: Equally split a RDD partition into two partition at the same node

Hi Liang-Chi, Yes, you are right. I implement the following solution for this problem, and it works. But I am not sure if it is efficient: I double the partitions of the parent RDD, and then use the new partitions and parent RDD to construct the target RDD. In the compute() function of the

Re: Equally split a RDD partition into two partition at the same node

Hi, When calling `coalesce` with `shuffle = false`, it is going to produce at most min(numPartitions, previous RDD's number of partitions). So I think it can't be used to double the number of partitions. Anastasios Zouzias wrote > Hi Fei, > > How you tried coalesce(numPartitions: Int,

Re: Limit Query Performance Suggestion

Hi Sujith, Thanks for suggestion. The codes you quoted are from `CollectLimitExec` which will be in the plan if a logical `Limit` is the final operator in an logical plan. But in the physical plan you showed, there are `GlobalLimit` and `LocalLimit` for the logical `Limit` operation, so the

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Re: Equally split a RDD partition into two partition at the same node

Hi Anastasios, Thanks for your information. I will look into the CoalescedRDD code. Thanks, Fei On Sun, Jan 15, 2017 at 12:21 PM, Anastasios Zouzias wrote: > Hi Fei, > > I looked at the code of CoalescedRDD and probably what I suggested will > not work. > > Speaking of

Re: Equally split a RDD partition into two partition at the same node

Hi Fei, I looked at the code of CoalescedRDD and probably what I suggested will not work. Speaking of which, CoalescedRDD is private[spark]. If this was not the case, you could set balanceSlack to 1, and get what you requested, see

Re: Equally split a RDD partition into two partition at the same node

Hi Anastasios, Thanks for your reply. If I just increase the numPartitions to be twice larger, how coalesce(numPartitions: Int, shuffle: Boolean = false) keeps the data locality? Do I need to define my own Partitioner? Thanks, Fei On Sun, Jan 15, 2017 at 3:58 AM, Anastasios Zouzias

Re: Equally split a RDD partition into two partition at the same node

Hi Rishi, Thanks for your reply! The RDD has 24 partitions, and the cluster has a master node + 24 computing nodes (12 cores per node). Each node will have a partition, and I want to split each partition to two sub-partitions on the same node to improve the parallelism and achieve high data

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Re: Both Spark AM and Client are trying to delete Staging Directory

Hi, Will it be a problem if the staging directory is already deleted? Because even the directory doesn't exist, fs.delete(stagingDirPath, true) won't cause failure but just return false. Rostyslav Sotnychenko wrote > Hi all! > > I am a bit confused why Spark AM and Client are both trying to

Re: What about removing TaskContext#getPartitionId?

As you mentioned, it's called in ForeachSink. I don't know that the scaladoc is wrong. You're saying something else, that there's no such thing as local execution. I confess I don't know if that's true? but the doc isn't wrong in that case, really. More broadly, I just don't think this type of

Re: Equally split a RDD partition into two partition at the same node

Hi Fei, How you tried coalesce(numPartitions: Int, shuffle: Boolean = false) ? https://github.com/apache/spark/blob/branch-1.6/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L395 coalesce is mostly used for reducing the number of partitions before writing to HDFS, but it might still be a