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https://issues.apache.org/jira/browse/FLINK-25332?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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TongMeng updated FLINK-25332:
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Description:
The UDF I used just returns a float, the first four data it returns 1.0, 2.0,
3.0 and 4.0, then it returns 0.0. I use 'where' in the sql to filter the 0.0
result. So the expected result I want to see in the kafka should be 1.0, 2.0,
3.0 and 4.0. However kafka consumer gives four 0.0.
The sql is as follow:
"insert into algorithmsink select dt.my_result from(select udf1(a) AS my_result
from mysource) AS dt where dt.my_result > 0.0" (udf1 is my UDF)
After I removed the 'where dt.my_result > 0.0' part, it workd well. Kafka gave
1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0……
was:
The UDF I used just returns a float, the first four data it returns 1.0, 2.0,
3.0 and 4.0, then it returns 0.0. I use 'where' in the sql to filter the 0.0
result. So the expected result I want to see in the kafka should be 1.0, 2.0,
3.0 and 4.0. However kafka consumer gives four 0.0.
The sql is as follow:
"insert into algorithmsink select dt.my_result from(select udf1(a) AS my_result
from mysource) AS dt where dt.my_result > 0.0"
After I removed the 'where dt.my_result > 0.0' part, it workd well. Kafka gave
1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0……
> When using Pyflink Table API, 'where' clause seems to work incorrectly
> ----------------------------------------------------------------------
>
> Key: FLINK-25332
> URL: https://issues.apache.org/jira/browse/FLINK-25332
> Project: Flink
> Issue Type: Bug
> Components: Table SQL / API
> Affects Versions: 1.13.0
> Environment: Python 3.6.9, Pyflink 1.13.0, kafka2.12-2.4.0
> Reporter: TongMeng
> Priority: Major
>
> The UDF I used just returns a float, the first four data it returns 1.0, 2.0,
> 3.0 and 4.0, then it returns 0.0. I use 'where' in the sql to filter the 0.0
> result. So the expected result I want to see in the kafka should be 1.0, 2.0,
> 3.0 and 4.0. However kafka consumer gives four 0.0.
> The sql is as follow:
> "insert into algorithmsink select dt.my_result from(select udf1(a) AS
> my_result from mysource) AS dt where dt.my_result > 0.0" (udf1 is my UDF)
> After I removed the 'where dt.my_result > 0.0' part, it workd well. Kafka
> gave 1.0, 2.0, 3.0, 4.0, 0.0, 0.0, 0.0……
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