Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.0 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Kyuubi and Spark. Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.3 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.7.3 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.1 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.7.1 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.3 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.7.3 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.0 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Kyuubi and Spark. Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.2 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.7.2 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.7.2 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.7.2 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.8.0 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.8.0 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.8.0 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.8.0 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for

Connectors, such as Connector/J, to communicate with Kyuubi. • We’ve planned to add more – Please join our mailing lists if you have any ideas or questions. 3 Kyuubi, Release 1.8.1 1.2 Multi-tenancy based on runtime statistics, which supports a variety of optimizations such as, • Dynamically Switch Join Strategies • Dynamically Coalesce Shuffle Partitions • Dynamically Handle Skew Joins In Kyuubi Release 1.8.1 Dynamically Switch Join Strategies Spark supports several join strategies, among which BroadcastHash Join is usually the most performant when any join side fits well in memory. And for