Apache Iceberg version
Tried both:
- iceberg-spark-runtime-3.5_2.12-1.10.1.jar
- /usr/share/aws/iceberg/lib/iceberg-spark3-runtime.jar (from AWS EMR)
Query engine
Spark 3.5.6
Please describe the bug 🐞
I have a target table & input table, both are written in Iceberg. Based on the manifest, the partition spec of target table is:
"partition-specs":[{"spec-id":0,"fields":[{"name":"collected_date","transform":"identity","source-id":29,"field-id":1000},{"name":"user_id_bucket","transform":"bucket[32]","source-id":2,"field-id":1001}]}]
And partition spec of input table is
"partition-specs":[{"spec-id":0,"fields":[{"name":"collected_date","transform":"identity","source-id":29,"field-id":1000},{"name":"user_id_bucket","transform":"bucket[32]","source-id":2,"field-id":1001}]}]
The field user_id is originally a string column, but the bucketed value turns to Integer. I'm running SPJ by doing a MERGE INTO with join on user_id
MERGE INTO target AS t
USING source AS s
ON t.post_id = s.post_id AND t.user_id = s.user_id
WHEN MATCHED AND (t.collected_at IS NULL OR t.collected_at <= s.collected_at)
THEN UPDATE SET *
WHEN NOT MATCHED
THEN INSERT *
The MERGE INTO fails with this error
pyspark.errors.exceptions.captured.IllegalArgumentException: Wrong class, expected java.lang.CharSequence, but was java.lang.Integer, for object: 1
Here's the trace
2026-02-17 15:06:12,666 - job - ERROR - Error: Wrong class, expected java.lang.CharSequence, but was java.lang.Integer, for object: 1
Traceback (most recent call last):
File "/mnt/yarn/usercache/hadoop/appcache/application_1771340623606_0001/container_1771340623606_0001_01_000001/pyspark.zip/pyspark/sql/session.py", line 1631, in sql
File "/mnt/yarn/usercache/hadoop/appcache/application_1771340623606_0001/container_1771340623606_0001_01_000001/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__
File "/mnt/yarn/usercache/hadoop/appcache/application_1771340623606_0001/container_1771340623606_0001_01_000001/pyspark.zip/pyspark/errors/exceptions/captured.py", line 185, in deco
pyspark.errors.exceptions.captured.IllegalArgumentException: Wrong class, expected java.lang.CharSequence, but was java.lang.Integer, for object: 1
Both target & source are stored with format-version=2
Willingness to contribute
Apache Iceberg version
Tried both:
Query engine
Spark 3.5.6
Please describe the bug 🐞
I have a target table & input table, both are written in Iceberg. Based on the manifest, the partition spec of target table is:
And partition spec of input table is
The field
user_idis originally a string column, but the bucketed value turns to Integer. I'm running SPJ by doing aMERGE INTOwith join onuser_idThe
MERGE INTOfails with this errorHere's the trace
Both target & source are stored with
format-version=2Willingness to contribute