AWS: handle premature connection close#15792
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Signed-off-by: Sergei Nikolaev <kinolaev@gmail.com>
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During vectorized Parquet reads,
S3InputStreamopens an unbounded HTTP range request (bytes=pos-) and reads one row group eagerly into memory. While Spark processes that in-memory row group (which can take several minutes for large batches), the client stops reading from S3. The TCP receive buffer fills up, and S3 eventually tears down the stalled connection.When the next row group read begins, the connection is already dead and Apache HTTP client throws
ConnectionClosedException: Premature end of Content-Length delimited message body (expected: x; received: y)(when using apache http client). This only affects files with multiple row groups (typically >128 MB).The existing retry policy handles
SSLException,SocketTimeoutException, andSocketException, but not this case. This PR extends the retry predicate to reopen the stream at the saved position when this specific exception is encountered, while leaving all otherConnectionClosedExceptionvariants (e.g. fromabort()) unaffected.Fixes #9674 and #9679.