[jira] [Updated] (SPARK-26764) [SPIP] Spark Relational Cache
[ https://issues.apache.org/jira/browse/SPARK-26764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-26764: -- Affects Version/s: (was: 3.0.0) 3.1.0 > [SPIP] Spark Relational Cache > - > > Key: SPARK-26764 > URL: https://issues.apache.org/jira/browse/SPARK-26764 > Project: Spark > Issue Type: New Feature > Components: SQL >Affects Versions: 3.1.0 >Reporter: Adrian Wang >Priority: Major > Attachments: Relational+Cache+SPIP.pdf > > > In modern database systems, relational cache is a common technology to boost > ad-hoc queries. While Spark provides cache natively, Spark SQL should be able > to utilize the relationship between relations to boost all possible queries. > In this SPIP, we will make Spark be able to utilize all defined cached > relations if possible, without explicit substitution in user query, as well > as keep some user defined cache available in different sessions. Materialized > views in many database systems provide similar function. -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-26764) [SPIP] Spark Relational Cache
[ https://issues.apache.org/jira/browse/SPARK-26764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Dongjoon Hyun updated SPARK-26764: -- Affects Version/s: (was: 2.4.0) 3.0.0 > [SPIP] Spark Relational Cache > - > > Key: SPARK-26764 > URL: https://issues.apache.org/jira/browse/SPARK-26764 > Project: Spark > Issue Type: New Feature > Components: SQL >Affects Versions: 3.0.0 >Reporter: Adrian Wang >Priority: Major > Attachments: Relational+Cache+SPIP.pdf > > > In modern database systems, relational cache is a common technology to boost > ad-hoc queries. While Spark provides cache natively, Spark SQL should be able > to utilize the relationship between relations to boost all possible queries. > In this SPIP, we will make Spark be able to utilize all defined cached > relations if possible, without explicit substitution in user query, as well > as keep some user defined cache available in different sessions. Materialized > views in many database systems provide similar function. -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-26764) [SPIP] Spark Relational Cache
[ https://issues.apache.org/jira/browse/SPARK-26764?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Adrian Wang updated SPARK-26764: Attachment: Relational+Cache+SPIP.pdf > [SPIP] Spark Relational Cache > - > > Key: SPARK-26764 > URL: https://issues.apache.org/jira/browse/SPARK-26764 > Project: Spark > Issue Type: New Feature > Components: SQL >Affects Versions: 2.4.0 >Reporter: Adrian Wang >Priority: Major > Attachments: Relational+Cache+SPIP.pdf > > > In modern database systems, relational cache is a common technology to boost > ad-hoc queries. While Spark provides cache natively, Spark SQL should be able > to utilize the relationship between relations to boost all possible queries. > In this SPIP, we will make Spark be able to utilize all defined cached > relations if possible, without explicit substitution in user query, as well > as keep some user defined cache available in different sessions. Materialized > views in many database systems provide similar function. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
