Comments (1)
I am facing the same issue where source is publishing 500 files per second and those needs to be processed every minute. Spark logic is able to process these files under a minute when try to run it in batch mode but would like to go with this approach to further reduce the listing time.
Is there any way we can increase the throughput on sqs reader?
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Related Issues (9)
- Not able to access the artifacts HOT 18
- May I know if this repo accepts changes like Spark 3 support and new Trigger functions like Trigger.AvailableNow
- S3-SQS source does not populate partition columns in the dataframne HOT 6
- Get error for Error occured while creating Amazon SQS Client null HOT 4
- Error To Read SQS queue HOT 8
- Is it Work with spark 3? HOT 5
- Error running on EMR with Spark version 2.4.0 and Scala version 2.11.12 (OpenJDK 64-Bit Server VM, Java 1.8.0_265) HOT 1
- SqsClient: Unexpected error while parsing SQS message next on empty iterator HOT 1
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