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Posted to issues@spark.apache.org by "Khang Pham (Jira)" <ji...@apache.org> on 2020/10/23 20:36:00 UTC

[jira] [Created] (SPARK-33232) ConcurrentAppendException while updating delta lake table

Khang Pham created SPARK-33232:
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             Summary: ConcurrentAppendException while updating delta lake table
                 Key: SPARK-33232
                 URL: https://issues.apache.org/jira/browse/SPARK-33232
             Project: Spark
          Issue Type: Bug
          Components: Structured Streaming
    Affects Versions: 3.0.0
            Reporter: Khang Pham


I have two Spark Streaming job run concurrently. 
 * Stream join Job: join in Kafka Stream with another stream from Amazon SQS. The result will be appended into delta lake table A
 * Upsert job: read from one Delta lake table B and update table A when there are matching ID. 

Environment:
 * Databricks cloud run time 7.2, Spark 3.0.0

 

The stream join job works fine but the Upsert job kept failing. 

 

Stack trace:

com.databricks.sql.transaction.tahoe.ConcurrentAppendException: Files were added to partition [dt=2020-xx-yy, request_hour=2020-xx-yy 23:00:00] by a concurrent update.

Please try the operation again. Conflicting commit: \{"timestamp":1603477588946,"userId":"xxxxx","operation":"OPTIMIZE","operationParameters":{"predicate":[],"zOrderBy":[],"batchId":0,"auto":true},"job":\{"jobId":"xxxxx","jobName":"Streaming join xxx","runId":"xxx","jobOwnerId":"xxxx","triggerType":"manual"},"notebook":\{"notebookId":"xxxx"},"clusterId":"xxxxxx","readVersion":2222222222,"isolationLevel":"SnapshotIsolation","isBlindAppend":false,"operationMetrics":\{"numRemovedFiles":"444444","numRemovedBytes":"64455537","p25FileSize":"63341646","minFileSize":"63341646","numAddedFiles":"1","maxFileSize":"63341646","p75FileSize":"63341646","p50FileSize":"63341646","numAddedBytes":"63341646"}}

 

Table A these setting: 

- 'delta.isolationLevel' = 'WriteSerializable'

- spark.databricks.delta.optimizeWrite.enable = True

- spark.databricks.delta.autoCompact.enabled = True

 

Other settings:

spark.databricks.io.cache.compression.enabled true

stateStore = rocksdb

spark.sql.adaptive.enabled true

spark.sql.adaptive.skewJoin.enabled true

 

I already set IsolationLevel to WriteSerializable to handle ConcurrentAppendingException as described in [https://docs.databricks.com/delta/optimizations/isolation-level.html]  

 

However the error says "SnapshotIsolation". 

 

What did I miss? 

 

 



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