[ https://issues.apache.org/jira/browse/FLINK-13611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
godfrey he updated FLINK-13611: ------------------------------- Description: this issue aims to introduce a utility class to generate table & column statistics, the main steps include: 1. generate sql, like {code:sql} select approx_count_distinct(a) as ndv, count(1) - count(a) as nullCount, avg(char_length(a)) as avgLen, max(char_lenght(a)) as maxLen, max(a) as maxValue, min(a) as minValue, ... from MyTable {code} 2. execute the query 3. convert to the result to {{TableStats}} (maybe the source table is not a {{ConnectorCatalogTable}}) 4. convert to {{TableStats}} to {{CatalogTableStatistics}} if needed This issue does not involve DDL, however the DDL could use this utility class once it's supported. was: this issue aims to introduce a utility class to generate table & column statistics, the main steps include: 1. generate sql, like {code:sql} select approx_count_distinct(a) as ndv, count(1) - count(a) as nullCount, avg(char_length(a)) as avgLen, max(char_lenght(a)) as maxLen, max(a) as maxValue, min(a) as minValue, ... from MyTable {code} 2. execute the query 3. convert to the result to {{TableStats}} (maybe the source table is not a catalog table) 4. convert to {{TableStats}} to {{CatalogTableStatistics}} if needed This issue does not involve DDL, however the DDL could use this utility class once it's supported. > Introduce analyze statistic utility to generate table & column statistics > ------------------------------------------------------------------------- > > Key: FLINK-13611 > URL: https://issues.apache.org/jira/browse/FLINK-13611 > Project: Flink > Issue Type: New Feature > Components: Table SQL / Planner > Reporter: godfrey he > Priority: Major > Fix For: 1.10.0 > > > this issue aims to introduce a utility class to generate table & column > statistics, the main steps include: > 1. generate sql, like > {code:sql} > select approx_count_distinct(a) as ndv, count(1) - count(a) as nullCount, > avg(char_length(a)) as avgLen, max(char_lenght(a)) as maxLen, max(a) as > maxValue, min(a) as minValue, ... from MyTable > {code} > 2. execute the query > 3. convert to the result to {{TableStats}} (maybe the source table is not a > {{ConnectorCatalogTable}}) > 4. convert to {{TableStats}} to {{CatalogTableStatistics}} if needed > This issue does not involve DDL, however the DDL could use this utility class > once it's supported. -- This message was sent by Atlassian JIRA (v7.6.14#76016)