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https://issues.apache.org/jira/browse/CALCITE-5187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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itxiangkui updated CALCITE-5187:
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Attachment: (was: Screenshot from 2022-06-10 11-18-54.png)
> "CalciteSchema call getSubSchemaMap when prepareSql" will Causes SQL
> execution to slow down
> -------------------------------------------------------------------------------------------
>
> Key: CALCITE-5187
> URL: https://issues.apache.org/jira/browse/CALCITE-5187
> Project: Calcite
> Issue Type: Improvement
> Reporter: itxiangkui
> Priority: Major
> Attachments: Screenshot from 2022-06-10 11-25-06.png
>
>
>
>
> # We define the structure of Schema-Tree: catalog->database->table
> # 2. A time series database is designed. Schema information is stored in the
> traditional Mysql database. Therefore, methods such as
> Schema.getSubSchemaNames() Schema.getSubSchemaMap() will be frequently called
> when executing SQL, especially in the validate phase.
> # Query a SQL sample as follows:
> select * from `catalog`.`database`.`xxtable` limit 10
> # Modified part of the code and connected to the opentracing system (jaeger)
> # DEBUG tracks and analyzes the entire execution process of SQL to analyze
> why it is slow, so as to optimize our system
> Here is one of our SQL executions:
> !Screenshot from 2022-06-10 11-25-06.png!
>
> Apparently, ICUserCatalogSchema.getSubSchemaMap() is called many times and it
> increases with the number of databases
> The debug code finds that the prepareSql stage will call the gatherLattices
> method, and gatherLattices will access all Schema information, which
> corresponds to databases
>
> {code:java}
> private static void gatherLattices(CalciteSchema schema,
> List<CalciteSchema.LatticeEntry> list) {
> list.addAll(schema.getLatticeMap().values());
> for (CalciteSchema subSchema : schema.getSubSchemaMap().values()) {
> gatherLattices(subSchema, list);
> }
> } {code}
> My question is, why do you care about other database information when
> querying a table, and are there any suggestions for improvement here...
>
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