[Backport 4.x][SPARK-56324] Add ZeroCopyByteStream to enable PySpark <-> Spark message-based communication#55732
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…age-based communication ### What changes were proposed in this pull request? This is the first in a series of PRs that introduce message-based communication to PySpark UDFs. This initiative is part of [SPIP SPARK-55278](https://issues.apache.org/jira/browse/SPARK-55278), which proposes language-agnostic UDFs. The goal of introducing message-based communication to PySpark is to: 1. Make the communication between Spark <-> PySpark more structured. 2. Enable new communication protocols (e.g., gRPC) transparently. The overall goal is to introduce a second communication channel while keeping the existing channel intact. Specifically, we want to introduce gRPC in addition to UDS. The existing UDS channel will not be changed, and its characteristics, including performance, will remain untouched. As the first step to make PySpark communication message-based, this PR introduces a new class, which implements a file-like interface on top of a stream of byte arrays. This class will be used in follow-up PRs to provide raw gRPC-transmitted bytes to PySpark. ### Why are the changes needed? This is the first step toward a language-agnostic UDF protocol for Spark that enables UDF workers written in any language to communicate with the Spark engine through a well-defined specification and API boundary. The abstractions introduced here will be used to make PySpark transport layer agnostic, which is required for PySpark to support the new protocol. ### Does this PR introduce _any_ user-facing change? No. There will be follow-up PRs to consume the introduced abstractions. ### How was this patch tested? New unit tests have been added for the new modules. ### Was this patch authored or co-authored using generative AI tooling? Partially, yes. However, the code is manually reviewed and adjusted. Closes apache#55515 from sven-weber-db/sven-weber_data/ZeroCopyByte. Authored-by: Sven Weber <sven.weber@databricks.com> Signed-off-by: Daniel Tenedorio <daniel.tenedorio@databricks.com>
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LGTM, merging to 4.x |
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…<-> Spark message-based communication ### What changes were proposed in this pull request? This is a back port of master commit 2e14b92 into Spark branch 4.x. You can verify that this back port contains the same changes by running the following: ```bash git format-patch -1 2e14b92 > patch.1 git format-patch -1 7e08a46 > patch.2 diff patch.1 patch.2 ``` Which will produce empty output (there is no difference) ### Why are the changes needed? Forgot to merge the PR into branch 4.x in addition to master. ### Does this PR introduce _any_ user-facing change? No - like the original PR ### How was this patch tested? New unit-testa have been introduced. ### Was this patch authored or co-authored using generative AI tooling? Partially, yes. However, the code is manually reviewed and adjusted. Closes #55732 from sven-weber-db/sven-weber_data/zero-copy-backport-4.x. Authored-by: Sven Weber <sven.weber@databricks.com> Signed-off-by: Daniel Tenedorio <daniel.tenedorio@databricks.com>
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Closing as the change was merged. Thank you! |
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What changes were proposed in this pull request?
This is a back port of master commit 2e14b92 into Spark branch 4.x.
You can verify that this back port contains the same changes by running the following:
Which will produce empty output (there is no difference)
Why are the changes needed?
Forgot to merge the PR into branch 4.x in addition to master.
Does this PR introduce any user-facing change?
No - like the original PR
How was this patch tested?
New unit-testa have been introduced.
Was this patch authored or co-authored using generative AI tooling?
Partially, yes. However, the code is manually reviewed and adjusted.