flisboac commented on issue #9650:
URL: https://github.com/apache/iceberg/issues/9650#issuecomment-2054171388
Well, now errors are happening on a `MERGE INTO` as well. Usage is the same
as what the OP reported. Also, because I'm using PySpark, a more detailed error
report is somewhat hidden behind PySpark's abstractions, so the only stacktrace
immediately available is this one:
```text
Traceback (most recent call last):
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/run_cdc_job.py",
line 2110, in <module>
main()
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/run_cdc_job.py",
line 2106, in main
cdc_processor.run()
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/run_cdc_job.py",
line 344, in run
self._do_run(execution_context)
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/run_cdc_job.py",
line 412, in _do_run
self._do_run_cdc(manifest_file, now=now)
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/run_cdc_job.py",
line 602, in _do_run_cdc
merge_sql_count = self._spark_session.sql(merge_sql,
args=merge_sql_params).count()
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/pyspark.zip/pyspark/sql/session.py",
line 1631, in sql
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/py4j-0.10.9.7-src.zip/py4j/java_gateway.py",
line 1322, in __call__
File
"/mnt1/yarn/usercache/hadoop/appcache/application_1713122184304_0002/container_1713122184304_0002_01_000001/pyspark.zip/pyspark/errors/exceptions/captured.py",
line 185, in deco
pyspark.errors.exceptions.captured.IllegalArgumentException: Comparison
method violates its general contract!
```
`MERGE INTO` query looks like this:
```sql
MERGE INTO spark_catalog.DATABASE.TABLE target
USING __cdc_source_data__ source
ON (
1=1
AND (target.int_field_1 BETWEEN :__CDC_PDFILTER_MIN__int_field_1 AND
:__CDC_PDFILTER_MAX__int_field_1)
AND (target.int_field_2 BETWEEN :__CDC_PDFILTER_MIN__int_field_2 AND
:__CDC_PDFILTER_MAX__int_field_2)
AND (target.int_field_3 BETWEEN :__CDC_PDFILTER_MIN__int_field_3 AND
:__CDC_PDFILTER_MAX__int_field_3)
AND target.int_field_1 <=> source.int_field_1
AND target.int_field_2 <=> source.int_field_2
AND target.int_field_3 <=> source.int_field_3
)
WHEN MATCHED AND source.operation = 'D' THEN DELETE
WHEN MATCHED AND source.operation IN ('U', 'I') THEN UPDATE SET
target.int_field_1 = source.int_field_1,
target.int_field_2 = source.int_field_2,
target.int_field_3 = source.int_field_3,
-- A lot more field assignments here
target.dt_geracao = cast('2024-04-14T19:20:06.774Z' as timestamp)
WHEN NOT MATCHED AND source.operation in ('I', 'U') THEN INSERT
(
int_field_1,
int_field_2,
int_field_3,
-- A lot more more column names here
) VALUES (
source.int_field_1,
source.int_field_2,
source.int_field_3,
-- A lot more more column values here
cast('2024-04-14T19:20:06.774Z' as timestamp)
)
```
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