[ https://issues.apache.org/jira/browse/FLINK-22994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
lynn1.zhang updated FLINK-22994: -------------------------------- Description: h1. BackGround In some nesting udf invoking cases, Flink convert the udf result to external object and then convert to internalOrNull object as params for next udf invoking h1. Performance Compare with MapMapConverter & without MapMapConverter Condition: Source = Kafka, Schema = PB with snappy; Flink Slot = 1; taskmanager.memory.process.size=4g; Linux Core = Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz UDF Introduction: * ipip: input: int ip, output: map ip_info, map size = 14. * ip_2_country: input map ip_info, output: string country. * ip_2_region: input map ip_info, output: string region. * ip_2_isp_domain: input map ip_info, output: string isp. * ip_2_timezone: input map ip_info, output: string timezone. h5. The throughput with udf nesting invoke: 41.42 k/s !image-2021-06-15-15-29-09-773.png! h5. The throughput with udf nesting invoke after this issue: 174.41 k/s !image-2021-06-15-15-30-14-775.png! was: h1. BackGround In some nesting udf invoking cases, Flink convert the udf result to external object and then convert to internalOrNull object as params for next udf invoking h1. Performance Compare with MapMapConverter & without MapMapConverter Condition: Source = Kafka, Schema = PB with snappy; Flink Slot = 1; taskmanager.memory.process.size=4g; Linux Core = Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz UDF Introduction: * ipip: input: int ip, output: map ip_info, map size = 14. * ip_2_country: input map ip_info, output: string country. * ip_2_region: input map ip_info, output: string region. * ip_2_isp_domain: input map ip_info, output: string isp. * ip_2_timezone: input map ip_info, output: string timezone. h5. The throughput without udf invoke: 764.50 k/s !image-2021-06-15-15-27-26-739.png! h5. The throughput with udf invoke: 183.24 k/s !image-2021-06-15-15-42-08-065.png! h5. The throughput with udf nesting invoke: 41.42 k/s !image-2021-06-15-15-29-09-773.png! h5. The throughput with udf nesting invoke after this issue: 174.41 k/s !image-2021-06-15-15-30-14-775.png! > Improve the performance of invoking nesting udf > ----------------------------------------------- > > Key: FLINK-22994 > URL: https://issues.apache.org/jira/browse/FLINK-22994 > Project: Flink > Issue Type: Improvement > Components: Table SQL / Runtime > Affects Versions: 1.12.4 > Environment: h5. > Reporter: lynn1.zhang > Assignee: lynn1.zhang > Priority: Major > Labels: pull-request-available > Attachments: StringConverterTest.java, Test.java, > image-2021-06-15-15-18-12-619.png, image-2021-06-15-15-19-01-103.png, > image-2021-06-15-15-27-26-739.png, image-2021-06-15-15-28-28-137.png, > image-2021-06-15-15-29-09-773.png, image-2021-06-15-15-30-14-775.png, > image-2021-06-15-15-42-08-065.png, new_projection_code, old_projection_code, > test.sql > > > h1. BackGround > In some nesting udf invoking cases, Flink convert the udf result to external > object and then convert to internalOrNull object as params for next udf > invoking > h1. Performance Compare with MapMapConverter & without MapMapConverter > Condition: Source = Kafka, Schema = PB with snappy; Flink Slot = 1; > taskmanager.memory.process.size=4g; Linux Core = Intel(R) Xeon(R) Gold 5218 > CPU @ 2.30GHz > UDF Introduction: > * ipip: input: int ip, output: map ip_info, map size = 14. > * ip_2_country: input map ip_info, output: string country. > * ip_2_region: input map ip_info, output: string region. > * ip_2_isp_domain: input map ip_info, output: string isp. > * ip_2_timezone: input map ip_info, output: string timezone. > h5. The throughput with udf nesting invoke: 41.42 k/s > !image-2021-06-15-15-29-09-773.png! > h5. The throughput with udf nesting invoke after this issue: 174.41 k/s > !image-2021-06-15-15-30-14-775.png! > -- This message was sent by Atlassian Jira (v8.3.4#803005)