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[SPARK-54619][PYTHON] Add a sanity check for configuration numbers #53359

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[SPARK-54619][PYTHON] Add a sanity check for configuration numbers #53359

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Add a sanity check for configuration numbers
gaogaotiantian Dec 5, 2025
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gaogaotiantian Dec 7, 2025
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5 changes: 5 additions & 0 deletions python/pyspark/errors/error-conditions.json
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Expand Up @@ -941,6 +941,11 @@
"Argument <arg_name> must be a numerical column for plotting, got <arg_type>."
]
},
"PROTOCOL_ERROR": {
"message": [
"<failure>. This usually indicates that the message does not conform to the protocol."
]
},
"PYTHON_HASH_SEED_NOT_SET": {
"message": [
"Randomness of hash of string should be disabled via PYTHONHASHSEED."
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10 changes: 9 additions & 1 deletion python/pyspark/worker.py
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Expand Up @@ -119,7 +119,15 @@ def __init__(self, infile=None):

def load(self, infile):
num_conf = read_int(infile)
for i in range(num_conf):
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@HyukjinKwon HyukjinKwon Dec 7, 2025

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Let's add a bit of background here in a comment. I was also wondering why we need this as we're already controlling the confs to send.

if num_conf < 0 or num_conf > 10000:
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@dongjoon-hyun dongjoon-hyun Dec 6, 2025

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10,000 seems to be too small though, @gaogaotiantian .

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@HyukjinKwon HyukjinKwon Dec 7, 2025

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Hm, don't we already only send the allowed confs only? e.g., ArrowPythonRunner.getPythonRunnerConfMap

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@HyukjinKwon HyukjinKwon Dec 7, 2025

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Ah, okay so this is adding a sanity check

# We only have a few thousands configurations. This is a sanity check.
raise PySparkRuntimeError(
errorClass="PROTOCOL_ERROR",
messageParameters={
"failure": f"Invalid number of configurations: {num_conf}",
},
)
for _ in range(num_conf):
k = utf8_deserializer.loads(infile)
v = utf8_deserializer.loads(infile)
self._conf[k] = v
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