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This is occuring because you are using the native spark session catalog rather than the iceberg v2 replacement session catalog.

What it really means is that you attempted to read the table using a datasource v1 read path when the datasource in question is a v2 one. This occurs because of a bad error message in Spark. Reply to this email directly, view it on GitHub You are receiving this because you are subscribed to this thread. LocalCache$Segment.loadSync(LocalCache.java:2379) LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599) LocalCache$LocalManualCache$1.load(LocalCache.java:4792) $anonfun$readDataSourceTable$1(DataSourceStrategy.scala:256) Select * from ib_test -The error blow happens：Ĭaused by: .AnalysisException: iceberg is not a valid

conf =hdfs://xxxx:8020/user/icebergĬREATE TABLE ib_test(id bigint, data string) USING iceberg -success Iceberg : iceberg-spark3-runtime-0.9.1.jar