References 1. Auxiliary SQL extension for Spark SQL 2. Auxiliary SQL Functions for Spark SQL 3. Z-order Benchmark Tools 1. Kubernetes Tools Spark Block Cleaner Kyuubi Insider Overview Architecture Kyuubi v 2. How to use Kyuubi SQL extension 2. Auxiliary SQL Functions for Spark SQL 3. Z-order Benchmark 3.1. Benchmark result 1. Auxiliary SQL extension for Spark SQL Kyuubi provides SQL extension out of box session_user Return the session username for the associated query engine string 1.4.0 3. Z-order Benchmark Z-order is a technique that allows you to map multidimensional data to a single dimension. We did

References 1. Auxiliary SQL extension for Spark SQL 2. Auxiliary SQL Functions for Spark SQL 3. Z-order Benchmark Tools 1. Kubernetes Tools Spark Block Cleaner Kyuubi Insider Overview Architecture Kyuubi v 2. How to use Kyuubi SQL extension 2. Auxiliary SQL Functions for Spark SQL 3. Z-order Benchmark 3.1. Benchmark result 1. Auxiliary SQL extension for Spark SQL Kyuubi provides SQL extension out of box session_user Return the session username for the associated query engine string 1.4.0 3. Z-order Benchmark Z-order is a technique that allows you to map multidimensional data to a single dimension. We did

optimize the layout of data stored in all kind of storage with various data format. Please check our benchmark report here. Introduction The following picture shows the workflow of z-order. It contains three through Apache Spark Datasource V2 and Catalog APIs. TPC-DS The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The query against it. USE tpcds.sf1; SELECT * FROM orders; TPC-H The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The

extension for Spark SQL 2. Auxiliary SQL Functions for Spark SQL 3. Z-order introduction 4. Z-order Benchmark Tools 1. Kubernetes Tools Spark Block Cleaner Kyuubi Insider Overview Architecture Kyuubi v Functions for Spark SQL 3. Z-order introduction 3.1. Introduction 3.2. How to use 4. Z-order Benchmark 4.1. Benchmark result 1. Auxiliary SQL extension for Spark SQL Kyuubi provides SQL extension out of box PARTITION() ...; INSERT OVERWRITE TABLE t1 PARTITION() ...; CREATE TABLE t1 AS SELECT ...; 4. Z-order Benchmark Z-order is a technique that allows you to map multidimensional data to a single dimension. We did

extension for Spark SQL 2. Auxiliary SQL Functions for Spark SQL 3. Z-order introduction 4. Z-order Benchmark Tools 1. Kubernetes Tools Spark Block Cleaner Kyuubi Insider Overview Architecture Kyuubi v Functions for Spark SQL 3. Z-order introduction 3.1. Introduction 3.2. How to use 4. Z-order Benchmark 4.1. Benchmark result 1. Auxiliary SQL extension for Spark SQL Kyuubi provides SQL extension out of box PARTITION() ...; INSERT OVERWRITE TABLE t1 PARTITION() ...; CREATE TABLE t1 AS SELECT ...; 4. Z-order Benchmark Z-order is a technique that allows you to map multidimensional data to a single dimension. We did

extension for Spark SQL 2. Auxiliary SQL Functions for Spark SQL 3. Z-order introduction 4. Z-order Benchmark Tools 1. Kubernetes Tools Spark Block Cleaner Kyuubi Insider Overview Architecture Kyuubi v Functions for Spark SQL 3. Z-order introduction 3.1. Introduction 3.2. How to use 4. Z-order Benchmark 4.1. Benchmark result 1. Auxiliary SQL extension for Spark SQL Kyuubi provides SQL extension out of box PARTITION() ...; INSERT OVERWRITE TABLE t1 PARTITION() ...; CREATE TABLE t1 AS SELECT ...; 4. Z-order Benchmark Z-order is a technique that allows you to map multidimensional data to a single dimension. We did

optimize the layout of data stored in all kind of storage with various data format. Please check our benchmark report here. Introduction The following picture shows the workflow of z-order. It contains three through Apache Spark Datasource V2 and Catalog APIs. TPC-DS The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The query against it. USE tpcds.sf1; SELECT * FROM orders; TPC-H The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The

optimize the layout of data stored in all kind of storage with various data format. Please check our benchmark report here. Introduction The following picture shows the workflow of z-order. It contains three through Apache Spark Datasource V2 and Catalog APIs. TPC-DS The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The query against it. USE tpcds.sf1; SELECT * FROM orders; TPC-H The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The

optimize the layout of data stored in all kind of storage with various data format. Please check our benchmark report here. Introduction The following picture shows the workflow of z-order. It contains three through Apache Spark Datasource V2 and Catalog APIs. TPC-DS The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The query against it. USE tpcds.sf1; SELECT * FROM orders; TPC-H The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The

optimize the layout of data stored in all kind of storage with various data format. Please check our benchmark report here. Introduction The following picture shows the workflow of z-order. It contains three through Apache Spark Datasource V2 and Catalog APIs. TPC-DS The TPC-DS is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The query against it. USE tpcds.sf1; SELECT * FROM orders; TPC-H The TPC-H is a decision support benchmark. It consists of a suite of business oriented ad-hoc queries and concurrent data modifications. The