Skip to content
Large-Scale Data Engineering in Cloud

Performance Tuning, Cost Optimization / Internals, Research by Dmitry Tolpeko

  • About
  • About
  • Flink,  JVM,  Memory,  YARN

    Flink 1.9 – Off-Heap Memory on YARN – Troubleshooting Container is Running Beyond Physical Memory Limits Errors

    April 29, 2020

    On one of my clusters I got my favorite YARN error, although now it was in a Flink application:

    Container is running beyond physical memory limits. Current usage: 99.5 GB of 99.5 GB physical memory used; 105.1 GB of 227.8 GB virtual memory used. Killing container.

    Why did the container take so much physical memory and fail? Let’s investigate in detail.

    Read More
    dmtolpeko
  • AWS,  I/O,  S3

    S3 Multipart Upload – S3 Access Log Messages

    April 17, 2020

    Most applications writing data into S3 use the S3 multipart upload API to upload data in parts. First, you initiate the load, then upload parts and finally complete the multipart upload.

    Let’s see how this operation is reflected in the S3 access log. My application uploaded the file data.gz into S3, and I can view it as follows:

    Read More
    dmtolpeko
  • AWS,  Flink,  I/O,  S3

    Flink – Tuning Writes to S3 Sink – fs.s3a.threads.max

    April 12, 2020

    One of our Flink streaming jobs had significant variance in the time spent on writing files to S3 by the same Task Manager process.

    What settings do you need to check first?

    Read More
    dmtolpeko

Recent Posts

  • Nov 26, 2023 ORDER BY in Spark – How Global Sort Is Implemented, Sampling, Range Rartitioning and Skew
  • Oct 25, 2023 Reading JSON in Spark – Full Read for Inferring Schema and Sampling, SamplingRatio Option Implementation and Issues
  • Oct 15, 2023 Distributed COUNT DISTINCT – How it Works in Spark, Multiple COUNT DISTINCT, Transform to COUNT with Expand, Exploded Shuffle, Partial Aggregations
  • Oct 10, 2023 Spark – Reading Parquet – Pushed Filters, SUBSTR(timestamp, 1, 10), LIKE and StringStartsWith
  • Oct 06, 2023 Spark Stage Restarts – Partial Restarts, Multiple Retry Attempts with Different Task Sets, Accepted Late Results from Failed Stages, Cost of Restarts

Archives

  • November 2023 (1)
  • October 2023 (5)
  • September 2023 (1)
  • July 2023 (1)
  • August 2022 (4)
  • April 2022 (1)
  • March 2021 (2)
  • January 2021 (2)
  • June 2020 (4)
  • May 2020 (8)
  • April 2020 (3)
  • February 2020 (3)
  • December 2019 (5)
  • November 2019 (4)
  • October 2019 (1)
  • September 2019 (2)
  • August 2019 (1)
  • May 2019 (9)
  • April 2019 (2)
  • January 2019 (3)
  • December 2018 (4)
  • November 2018 (1)
  • October 2018 (6)
  • September 2018 (2)

Categories

  • Amazon (14)
  • Auto Scaling (1)
  • AWS (28)
  • Cost Optimization (1)
  • CPU (2)
  • Data Skew (2)
  • Distributed (1)
  • EC2 (1)
  • EMR (13)
  • ETL (2)
  • Flink (5)
  • Hadoop (14)
  • Hive (17)
  • Hue (1)
  • I/O (25)
  • JSON (1)
  • JVM (3)
  • Kinesis (1)
  • Logs (1)
  • Memory (7)
  • Monitoring (4)
  • Optimizer (2)
  • ORC (5)
  • Parquet (8)
  • Pig (2)
  • Presto (3)
  • Qubole (2)
  • RDS (1)
  • S3 (18)
  • Snowflake (6)
  • Spark (17)
  • Storage (14)
  • Tez (10)
  • YARN (18)

Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org
Savona Theme by Optima Themes