szehon-ho commented on code in PR #50538: URL: https://github.com/apache/spark/pull/50538#discussion_r2036146614
########## sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala: ########## @@ -256,20 +256,32 @@ class FindDataSourceTable(sparkSession: SparkSession) extends Rule[LogicalPlan] QualifiedTableName(table.identifier.catalog.get, table.database, table.identifier.table) val catalog = sparkSession.sessionState.catalog val dsOptions = DataSourceUtils.generateDatasourceOptions(extraOptions, table) - catalog.getCachedPlan(qualifiedTableName, () => { + lazy val newPlan = { val dataSource = DataSource( sparkSession, - // In older version(prior to 2.1) of Spark, the table schema can be empty and should be - // inferred at runtime. We should still support it. - userSpecifiedSchema = if (table.schema.isEmpty) None else Some(table.schema), + className = table.provider.get, + userSpecifiedSchema = Some(table.schema), partitionColumns = table.partitionColumnNames, bucketSpec = table.bucketSpec, - className = table.provider.get, options = dsOptions, catalogTable = Some(table)) LogicalRelation(dataSource.resolveRelation(checkFilesExist = false), table) - }) + } + lazy val cachedPlan = catalog.getCachedPlan(qualifiedTableName, () => newPlan) Review Comment: Sorry , clarifying one possible way (from discussion offline) catalog.getCachedPlan(...) match { case LogicalRelation(HadoopFsRelation(... options)) if diff(options, dsOptions) => newPlan case cachedPlan => cachedPlan } Its slightly clearer to me, but optional. If we keep this way and use a val though, I think we dont need lazy val as it wasnt lazy val before this change? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org