On 22 Oct 2016, at 00:48, Chetan Khatri <ckhatriman...@gmail.com<mailto:ckhatriman...@gmail.com>> wrote:
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. Are you writing to GCS storage to to the local HDD? Regarding options to set, for performance reads against object store hosted parquet data, also go for spark.sql.parquet.filterPushdown true spark.sql.parquet.mergeSchema false On Sat, Oct 22, 2016 at 3:41 AM, Cheng Lian <lian.cs....@gmail.com<mailto: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. Now I'm a bit mixed up. Should that be spark.sql.parquet.enable.summary-metadata =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 Statement of Confidentiality ———————————————————————————— The contents of this e-mail message and any attachments are confidential and are intended solely for addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify the sender by reply e-mail or phone and delete this message and its attachments, if any. -- Yours Aye, Chetan Khatri. M.+91 76666 80574 Data Science Researcher INDIA Statement of Confidentiality ———————————————————————————— The contents of this e-mail message and any attachments are confidential and are intended solely for addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify the sender by reply e-mail or phone and delete this message and its attachments, if any.
