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https://issues.apache.org/jira/browse/FLINK-13611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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.
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