ecapoccia opened a new pull request #11037: [BEAM-9434] performance improvements reading many Avro files in S3 URL: https://github.com/apache/beam/pull/11037 The implemented solution consists in an extension of the FileSystem classes for S3, that allows filtering of the matched objects. The filter consists in a mod hash function of the filename. This mechanism is exploited by a parallel partitioned read of the files in the bucket, realised in the AvroIO and FileIO classes by means of the new hint . withHintPartitionInto(int) The net effect is that a controlled number of tasks is spawn to different executors, each having a different partition number; each executor reads the entire list of files in the bucket, but matches only those files whose modhash matches the partition number. In this way, all the executors in the cluster read in parallel. ------------------------ Thank you for your contribution! Follow this checklist to help us incorporate your contribution quickly and easily: - [ ] [**Choose reviewer(s)**](https://beam.apache.org/contribute/#make-your-change) and mention them in a comment (`R: @username`). - [ ] Format the pull request title like `[BEAM-XXX] Fixes bug in ApproximateQuantiles`, where you replace `BEAM-XXX` with the appropriate JIRA issue, if applicable. This will automatically link the pull request to the issue. - [ ] Update `CHANGES.md` with noteworthy changes. - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf). See the [Contributor Guide](https://beam.apache.org/contribute) for more tips on [how to make review process smoother](https://beam.apache.org/contribute/#make-reviewers-job-easier). 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