leaves12138 commented on code in PR #7952:
URL: https://github.com/apache/paimon/pull/7952#discussion_r3308125695
##########
paimon-python/pypaimon/read/split_read.py:
##########
@@ -650,6 +652,17 @@ def _build_merge_function(self):
value_arity=self.value_arity,
nullables=[f.type.nullable for f in self.value_fields],
)
+ if engine == MergeEngine.AGGREGATE:
+ field_aggregators = build_field_aggregators(
+ self.value_fields,
+ self.trimmed_primary_key,
+ self.table.options,
+ )
+ return AggregateMergeFunction(
+ key_arity=len(self.trimmed_primary_key),
+ value_arity=self.value_arity,
+ field_aggregators=field_aggregators,
+ )
Review Comment:
This should use the full table primary key list, not `trimmed_primary_key`.
`read_type`/`value_fields` still contains partition columns, while
`trimmed_primary_key` removes partition columns from the heap key. If a primary
key column is also a partition column and a table-wide default aggregator is
configured, that PK value is treated as a normal value field and gets
aggregated.
Minimal repro on this PR:
```python
schema = pa.schema([
pa.field('p', pa.int64(), nullable=False),
pa.field('id', pa.int64(), nullable=False),
pa.field('v', pa.int64()),
])
Schema.from_pyarrow_schema(
schema,
primary_keys=['p', 'id'],
partition_keys=['p'],
options={
'bucket': '1',
'merge-engine': 'aggregation',
'fields.default-aggregate-function': 'sum',
},
)
# write {'p': 1, 'id': 1, 'v': 10}, then {'p': 1, 'id': 1, 'v': 20}
```
Expected read result is `{'p': 1, 'id': 1, 'v': 30}`, but pypaimon currently
returns `{'p': 2, 'id': 1, 'v': 30}` because field `p` falls through to the
default `sum` aggregator. Java builds `AggregateMergeFunction` with
`tableSchema.primaryKeys()` for the same reason. Please pass
`self.table.primary_keys` here and add an e2e test covering a partition key
that is also part of the primary key with
`fields.default-aggregate-function=sum`.
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