JNSimba opened a new pull request, #97: URL: https://github.com/apache/doris-flink-connector/pull/97
## Problem Summary: The current lookup join is based on thrfit reading data. After each piece of data comes, point query doris once. When the amount of data is too large, the point query is too high, causing the QPS and CPU to be too high. At the same time, it will cause Flink's data back pressure, resulting in data delay. **Improvements:** 1. **Save batch to query**. Concatenate multiple query conditions into an or statement, similar to (a=1) or (a=2). This is a one-time query. 2. **Support asynchronous LookupJoin**. The current queries are all synchronous. Using Flink's async io can greatly improve the throughput of tasks. For details, please refer to https://nightlies.apache.org/flink/flink-docs-master/zh/docs/dev/datastream/ operators/asyncio ## Checklist(Required) 1. Does it affect the original behavior: (Yes/No/I Don't know) 2. Has unit tests been added: (Yes/No/No Need) 3. Has document been added or modified: (Yes/No/No Need) 4. Does it need to update dependencies: (Yes/No) 5. Are there any changes that cannot be rolled back: (Yes/No) ## Further comments If this is a relatively large or complex change, kick off the discussion at [d...@doris.apache.org](mailto:d...@doris.apache.org) by explaining why you chose the solution you did and what alternatives you considered, etc... -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@doris.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@doris.apache.org For additional commands, e-mail: commits-h...@doris.apache.org
