as-sher opened a new issue, #11534:
URL: https://github.com/apache/iceberg/issues/11534
### Query engine
Spark 3.5
databricks Runtime 14.3 and 15.3
### Question
While trying to run
`spark.sql("CALL iceberg_catalog.system.expire_snapshots(table =>
'iceberg_catalog.d11_stitch.rewards_third_party_impact_base_query', older_than
=> TIMESTAMP '2024-03-06 00:00:00.000')")`
to this Im getting
```
Py4JJavaError: An error occurred while calling o415.sql.
: java.lang.NoSuchMethodError:
org.apache.spark.sql.catalyst.trees.Origin.<init>(Lscala/Option;Lscala/Option;Lscala/Option;Lscala/Option;Lscala/Option;Lscala/Option;Lscala/Option;)V
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergParserUtils$.position(IcebergSqlExtensionsAstBuilder.scala:377)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergParserUtils$.withOrigin(IcebergSqlExtensionsAstBuilder.scala:367)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSqlExtensionsAstBuilder.visitSingleStatement(IcebergSqlExtensionsAstBuilder.scala:334)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSqlExtensionsAstBuilder.visitSingleStatement(IcebergSqlExtensionsAstBuilder.scala:66)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSqlExtensionsParser$SingleStatementContext.accept(IcebergSqlExtensionsParser.java:153)
at
org.antlr.v4.runtime.tree.AbstractParseTreeVisitor.visit(AbstractParseTreeVisitor.java:18)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSparkSqlExtensionsParser.$anonfun$parsePlan$1(IcebergSparkSqlExtensionsParser.scala:124)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSparkSqlExtensionsParser.parse(IcebergSparkSqlExtensionsParser.scala:178)
at
org.apache.spark.sql.catalyst.parser.extensions.IcebergSparkSqlExtensionsParser.parsePlan(IcebergSparkSqlExtensionsParser.scala:124)
at
com.databricks.sql.parser.DatabricksSqlParser.$anonfun$parsePlan$1(DatabricksSqlParser.scala:80)
at
com.databricks.sql.parser.DatabricksSqlParser.parse(DatabricksSqlParser.scala:101)
at
com.databricks.sql.parser.DatabricksSqlParser.parsePlan(DatabricksSqlParser.scala:77)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$2(SparkSession.scala:892)
at
com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:452)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:891)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:1180)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:890)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:924)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:397)
at py4j.Gateway.invoke(Gateway.java:306)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:199)
at py4j.ClientServerConnection.run(ClientServerConnection.java:119)
at java.lang.Thread.run(Thread.java:750)
File <command-2355211326393001>, line 1
----> 1 spark.sql("CALL iceberg_catalog.system.expire_snapshots(table =>
'iceberg_catalog.d11_stitch.rewards_third_party_impact_base_query', older_than
=> TIMESTAMP '2024-03-06 00:00:00.000')")
File
/databricks/spark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py:326, in
get_return_value(answer, gateway_client, target_id, name)
324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
325 if answer[1] == REFERENCE_TYPE:
--> 326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))
```
I tried using databricks Runtime 14.3 and 15.3 but getting the same issue on
both the runtimes.
I was able to run this successfully on 14.1
Im adding the following jars
iceberg-spark-runtime-3.5_2.12-1.5.0.jar iceberg-aws-bundle-1.5.0.jar
Can anyone help here?
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