jessiedanwang opened a new issue, #9766:
URL: https://github.com/apache/iceberg/issues/9766
### Apache Iceberg version
1.4.2
### Query engine
Spark
### Please describe the bug 🐞
We use spark structured streaming to consume avro message from kafka and
write them to iceberg tables, see following,
val query =
df.select(from_protobuf(col("value"),"xxx","desc_file_path").as("events")).select("events.*")
.writeStream
.option("checkpointLocation", ckLocation)
.queryName(queryName)
.outputMode("append")
.foreachBatch((df: DataFrame, batchId: Long) => {
df.show(20,false)
writeToIcebergTable(df, batchId)
})
.trigger(Trigger.ProcessingTime(processingInterval)).start()
def writeToIcebergTable(df: DataFrame, batchId: Long): Unit = {
...
df.writeTo(icebergTableName).append()
...
}
We got the following error when use Iceberg 1.4.2 and Spark 3.4.0 on EMR
6.12.0. The protobuf messages are deserialized correctly as shown in
df.show(20,false).
Caused by: org.apache.spark.sql.AnalysisException: 'writeTo' can not be
called on streaming Dataset/DataFrame.
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.failAnalysis(package.scala:52)
~[spark-catalyst_2.12-3.4.0-amzn-0.jar:3.4.0-amzn-0]
at org.apache.spark.sql.Dataset.writeTo(Dataset.scala:3907)
~[spark-sql_2.12-3.4.0-amzn-0.jar:3.4.0-amzn-0]
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