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https://issues.apache.org/jira/browse/SPARK-61263?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61263:
-----------------------------------
Labels: pull-request-available (was: )
> Compress a plan over the server's plan compression threshold, as PySpark does
> -----------------------------------------------------------------------------
>
> Key: SPARK-61263
> URL: https://issues.apache.org/jira/browse/SPARK-61263
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Tim Meehan
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> PySpark's Connect client compresses a plan larger than the server's
> spark.connect.session.planCompression.threshold. The Rust client never
> compresses plans, so a plan over the 128 MB message limit fails, and a plan
> between the threshold and 128 MB goes over the wire uncompressed.
> {code:python}
> from pyspark.sql import SparkSession, functions as F
> spark = SparkSession.builder.remote("sc://localhost:15002").getOrCreate()
> spark.range(1).select(F.length(F.lit("x" * (150 * 1024 * 1024)))).collect()
> {code}
> Against an OSS Spark 4.3.0 Connect server on loopback:
> * pyspark-client 4.3.0 returns the row in about 3 seconds. It reads
> spark.connect.session.planCompression.threshold from the server (10 MB on OSS
> Spark 4.3.0) and sends the plan zstd-compressed, as Plan.compressed_operation.
> * spark-connect-rust fails with "[Internal error] h2 protocol error: http2
> error" (measured at 4ad36945). At 100 MB both work. At 8768cc4 no code under
> crates/ compresses a plan.
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