leutrims opened a new issue, #11284:
URL: https://github.com/apache/hudi/issues/11284
Hello ,
im not being able to have schema evolution in Hudi version 0.14.1 with AWS
GLUE 4.0 and Spark Avro *spark-avro_2.13-3.3.0.jar ,
spark-avro_2.12-3.1.1.jar* using these hudi configs.
{"hoodie.upsert.shuffle.parallelism": 20,
"hoodie.datasource.write.operation": "upsert",
"hoodie.cleaner.policy": "KEEP_LATEST_COMMITS",
"hoodie.cleaner.commits.retained": 3,
"hoodie.schema.on.read.enable":"true",
"className": "org.apache.hudi",
"hoodie.datasource.hive_sync.use_jdbc": "false",
"hoodie.datasource.write.precombine.field": precombine_field,
"hoodie.datasource.write.recordkey.field": record_id,
"hoodie.table.name": table_name,
"hoodie.datasource.hive_sync.database": catalog_db_name,
"hoodie.datasource.hive_sync.table": catalog_table_name,
"hoodie.datasource.hive_sync.enable": "true",
"hive_sync.support_timestamp": "true",
"hoodie.datasource.hive_sync.support_timestamp": "true",
"hoodie.datasource.write.row.writer.enable": "false",
"hoodie.datasource.write.table.type": "COPY_ON_WRITE",
"path": target_path,
}
Im getting this error :
*An error occurred while calling o172.pyWriteDynamicFrame. Incoming batch
schema is not compatible with the table's one*
Does anyone has a fix for this ?
<@U04F0RF476D>
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