Hello Cheng,

Thank you for response.

I am using spark 1.6.1, i am writing around 350 gz parquet part files for
single table. Processed around 180 GB of Data using Spark.



On Sat, Oct 22, 2016 at 3:41 AM, Cheng Lian <lian.cs....@gmail.com> wrote:

> What version of Spark are you using and how many output files does the job
> writes out?
>
> By default, Spark versions before 1.6 (not including) writes Parquet
> summary files when committing the job. This process reads footers from all
> Parquet files in the destination directory and merges them together. This
> can be particularly bad if you are appending a small amount of data to a
> large existing Parquet dataset.
>
> If that's the case, you may disable Parquet summary files by setting
> Hadoop configuration " parquet.enable.summary-metadata" to false.
>
> We've disabled it by default since 1.6.0
>
> Cheng
>
> On 10/21/16 1:47 PM, Chetan Khatri wrote:
>
> Hello Spark Users,
>
> I am writing around 10 GB of Processed Data to Parquet where having 1 TB
> of HDD and 102 GB of RAM, 16 vCore machine on Google Cloud.
>
> Every time, i write to parquet. it shows on Spark UI that stages succeeded
> but on spark shell it hold context on wait mode for almost 10 mins. then it
> clears broadcast, accumulator shared variables.
>
> Can we sped up this thing ?
>
> Thanks.
>
> --
> Yours Aye,
> Chetan Khatri.
> M.+91 76666 80574
> Data Science Researcher
> INDIA
>
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-- 
Yours Aye,
Chetan Khatri.
M.+91 76666 80574
Data Science Researcher
INDIA

​​Statement of Confidentiality
————————————————————————————
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and are intended solely for addressee. The information may also be legally
privileged. This transmission is sent in trust, for the sole purpose of
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