Project: ShardingSphere (App Definition and Development / Database)
File: 2022_06_28_Cloud_native_deployment_for_a_high-performance_data_gateway_new_API_driver_Apache_ShardingSphere_5.1.2_is_released.en.md

+++ title = "Cloud native deployment for a high-performance data gateway + new API driver: Apache ShardingSphere 5.1.2 is released" weight = 63 chapter = true +++ Following the release of Apache ShardingSphere 5.1.1, our community integrated 1,028 PRs from contributors all over the world to bring you the latest 5.1.2 version. The new version includes a lot of improvements in terms of functions, performance, tests, documentation, examples, etc. Standout new features include: ShardingSphere-Proxy Helm Chart. SQL dialect translation. Using ShardingSphere-JDBC as a Driver. These new capabilities boosted ShardingSpheres data gateway capability, enabling ShardingSphere to be deployed on the cloud while optimizing user experience. In addition to the above-mentioned new features, this update also improves SQL parsing support, kernel, runtime mode, and elastic scaling support for / schema, auto-scaling, transactions, and in terms of user experience. This post will give you an overview of the ShardingSphere 5.1.2 updates. ShardingSphere-Proxy configuration using Helm ShardingSphere-Proxy provides Docker images for deployment in containers. However, for those who need to deploy ShardingSphere-Proxy on , you have to go through some procedures such as database driver mounting, configuration mounting, custom algorithm mounting, etc., which make the deployment process relatively tedious and causes high operation & maintenance costs. This update brings the new ShardingSphere-Proxy Helm Chart, a new feature donated to the Apache ShardingSphere community by , a provider of enterprise-grade, cloud-native data-enhanced computing products, and solutions. This development allows Apache ShardingSphere to embrace ahead cloud-native computing. ShardingSphere relies on a registry to store metadata in cluster mode, and ShardingSphere-Proxys Helm Chart can automatically deploy ZooKeeper clusters allowing you to quickly build ShardingSphere-Proxy clusters. Due to the limits imposed by open source protocol, ShardingSphere-Proxys binary distribution package and Docker image are not packaged with MySQL JDBC driver, so users need to manually add the MySQL JDBC driver to the classpath to use MySQL as ShardingSpheres storage node. For such cases, ShardingSphere-Proxy Helm Chart can automatically obtain the MySQL JDBC driver in the Pods Init container, reducing your deployment operation costs. SQL dialect translation With increased database diversification, the coexistence of multiple types of databases is now the norm. The scenarios in which heterogeneous databases are accessed using one SQL dialect are becoming a trend. The existence of multiple diversified databases makes it difficult to standardize SQL dialects for accessing databases, meaning that engineers need to use different dialects for different types of databases - lacking a unified query platform. Automatically translating different types of database dialects into one dialect that can be used by back-end databases allows engineers to access all back-end heterogeneous databases using any one database dialect, significantly reducing development and maintenance costs. Apache ShardingSphere 5.1.2 is an important step to building a highly productive data gateway. This update enables a new SQL dialect translation capability that supports dialect conversion between major open source databases. For example, you can use a client to connect to ShardingSphere-Proxy and send SQL based on MySQL dialect, and ShardingSphere can automatically recognize the user protocol and storage node type to complete SQL dialect translation, accessing heterogeneous storage nodes such as PostgreSQL and vice versa. In past versions, ShardingSphere-JDBC was available for users in the form of

Projects or tools that do not use `Datasource`, previously would need to first be modified in order to be able to introduce ShardingSphere-JDBC, which increases development costs. In Apache ShardingSphere 5.1.2, ShardingSphere-JDBC implements the standardized JDBC Driver interface, which allows you to introduce ShardingSphere-JDBC as a Driver. Users can obtain `Connection` directly through `DriverManager`: ```java Class.forName("org.apache.shardingsphere.driver.ShardingSphereDriver"); Connection conn = DriverManager.getConnection("jdbc:shardingsphere:classpath:config.yaml"); ``` Or use `Datasource` to obtain `Connection`: ```java // Take HikariCP as an example HikariDataSource dataSource = new HikariDataSource(); dataSource.setDriverClassName("org.apache.shardingsphere.driver.ShardingSphereDriver"); dataSource.setJdbcUrl("jdbc:shardingsphere:classpath:config.yaml"); Connection conn = dataSource.getConnection(); ``` Kernel In this update, ShardingSphere merged lots of PRs to improve SQL parsing support. SQL parsing optimizations take up a large proportion of the update log. ShardingSphere provided preliminary support for PostgreSQL / openGauss schema in 5.1.1. In this 5.1.2 update, the kernel, cluster mode, and auto-scaling support for PostgreSQL / openGauss schema has been improved. For example, support for schema structure has been added to metadata pairs, and schema customization is also supported in kernel and auto-scaling. ShardingSphere-Proxy As the market for servers using ARM CPUs becomes more popular, ShardingSphere-Proxy also provides images for arm64 architecture on Docker as well. When it comes to MySQL, ShardingSphere-Proxy fixed the issue where packets longer than 8 MB could not be received, and further supports receiving data larger than 16 MB in total. Auto-scaling In addition to supporting PostgreSQL schema customization, auto-scaling also implements automatic table creation when migrating PostgreSQL, and fixes the problem where PostgreSQL incremental migration would report errors when encountering null fields values. In addition to these features, auto-scaling also reduces resource consumption during migration and provides support for incremental migration in openGauss 3.0. The full release note for ShardingSphere 5.1.2 can be found in the following sections. Note that this update adjusts a small number of APIs, so please refer to the API Adjustments section for more details. New Features Kernel: alpha version of SQL dialect conversion for MySQL and PostgreSQL. Kernel: Support for PostgreSQL and openGauss custom schema. Kernel: Support for PostgreSQL and openGauss `create`/`alter`/`drop` view statements. Kernel: support for openGauss cursor statements. Kernel: support for using system libraries customization. Kernel: support acquisition of openGauss and MySQL create table statements. Kernel: support acquisition of PostgreSQL create table statements. Access terminal: officially support rapid deployment of a ShardingSphere-Proxy cluster that includes a ZooKeeper cluster in Kubernetes using Helm. Access terminal: support for ShardingSphere JDBC Driver. Auto Scaling: support for PostgreSQL automatic table building. Auto Scaling: support for PostgreSQL and openGauss custom schema table migration. Auto Scaling: support migration of string primary key table. Operation mode: Governance Center supports PG/openGauss three-level structure. Operation mode: Governance Center supports Database level distributed locking. Optimization Kernel: support for PostgreSQL and openGauss copy statements. Kernel: support for PostgreSQL alter/ drop index statements. Kernel: support for MySQL update force index statements. Kernel: support for openGauss `create`/`alter`/`drop` schema statements. Kernel: optimize `RoundRobinReplicaLoadBalanceAlgorithm` and `RoundRobinTrafficLoadBalanceAlgorithm` algorithm logic. Kernel: optimize metadata loading logic when front-end driver database type and back-end do not match. Kernel: refactor metadata loading logic. Kernel: optimization of show processlist statement function. Kernel: improved loading performance in scenarios involving a large number of tables. Kernel: support for comment statement execution Kernel: support for view statement execution in PostgreSQL and openGauss sharding

Kernel: support for Oracle `CREATE ROLLBACK SEGMENT` statement. Kernel: support for parsing openGauss `DROP TYPE` Kernel: support for parsing openGauss `ALTER TYPE` Kernel: support for parsing Oracle `DROP DISKGROUP` Kernel: support for parsing Oracle `CREATE DISKGROUP` Kernel: support for parsing Oracle `DROP FLASHBACK ARCHIVE` Kernel: support parsing openGauss `CHECKPOINT` Kernel: support parsing Oracle `CREATE FLASHBACK ARCHIVE` Kernel: support parsing PostgreSQL `Close` Kernel: support parsing openGauss `DROP CAST` Kernel: support parsing openGauss `CREATE CAST` Kernel: support parsing Oracle `CREATE CONTROL FILE` Kernel: support parsing openGauss `DROP DIRECTORY` Kernel: support parsing openGauss `ALTER DIRECTORY` Kernel: support parsing openGauss `CREATE DIRECTORY` Kernel: support parsing PostgreSQL Checkpoint Kernel: support parsing openGauss `DROP SYNONYM` Kernel: support parsing openGauss `CREATE SYNONYM` Kernel: support parsing openGauss `ALTER SYNONYM` Kernel: support parsing PostgreSQL `CALL` statement Kernel: support parsing Oracle `CREATE PFILE` Kernel: support parsing Oracle `CREATE SPFILE` Kernel: support parsing Oracle `ALTER SEQUENCE` Kernel: support parsing Oracle `CREATE CONTEXT` Kernel: support for parsing Oracle `ALTER PACKAGE` Kernel: support for parsing Oracle `CREATE SEQUENCE` Kernel: support for parsing Oracle `ALTER ATTRIBUTE DIMENSION` Kernel: support for parsing Oracle `ALTER ANALYTIC VIEW` Kernel: loading `SQLVisitorFacade` with ShardingSphere Spi Kernel: loading `DatabaseTypedSQLParserFacade` with ShardingSphere Spi Kernel: support parsing Oracle `ALTER OUTLINE` Kernel: support parsing Oracle `DROP OUTLINE` Kernel: support parsing Oracle `drop edition` Kernel: support parsing SQLServer `WITH` Common Table Expression Kernel: optimize SubquerySegments start and end indexes in with statements Kernel: reconstructing `JoinTableSegment` Kernel: support parsing Oracle `DROP SYNONYM` Kernel: support parsing Oracle `CREATE DIRECTORY` Kernel: support parsing Oracle `CREATE SYNONYM ` Kernel: support parsing SQLServer `XmlNamespaces` clause Kernel: support parsing Oracle `Alter Database Dictionary` Kernel: support parsing SQLServer clause of `SELECT` statement Kernel: support parsing Oracle `ALTER DATABASE LINK` Kernel: support for parsing Oracle `CREATE EDITION` Kernel: support parsing Oracle `ALTER TRIGGER` Kernel: support parsing SQLServer `REVERT` statement Kernel: support parsing PostgreSQL `DROP TEXT SEARCH` Kernel: support parsing PostgreSQL `drop server` Kernel: support parsing Oracle `ALTER VIEW` Kernel: support parsing PostgreSQL `drop access method` Kernel: support parsing PostgreSQL `DROP ROUTINE` Kernel: support parsing SQLServer `DROP USER` Kernel: support parsing Oracle `DROP TRIGGER` Kernel: support parsing PostgreSQL `drop subscription` Kernel: support parsing PostgreSQL `drop operator class` Kernel: support parsing PostgreSQL `DROP PUBLICATION` Kernel: support parsing Oracle `DROP VIEW` Kernel: support parsing PostgreSQL `DROP TRIGGER ` Kernel: support parsing Oracle `DROP DIRECTORY` Kernel: support parsing PostgreSQL `DROP STATISTICS` Kernel: support parsing PostgreSQL `drop type` Kernel: support parsing PostgreSQL `DROP RULE` Kernel: support parsing SQLServer `ALTER LOGIN` Kernel: support parsing PostgreSQL `DROP FOREIGN DATA WRAPPER` Kernel: support parsing PostgreSQL `DROP EVENT TRIGGER` statement. Access Terminal: ShardingSphere-Proxy MySQL supports receiving request packets over 16 MB in size. Access Terminal: ShardingSphere-Proxy adds `SO_BACKLOG` configuration item. Access Terminal: ShardingSphere-Proxy `SO_REUSEADDR` is enabled by default. Access Terminal: ShardingSphere-Proxy Docker image with aarch64 support. Access Terminal: ShardingSphere-Proxy MySQL support default MySQL version number. Access Terminal: ShardingSphere-Proxy PostgreSQL /openGauss supports more character sets. Access Terminal: ShardingSphere-Proxy adds default port configuration items. Auto Scaling: scaling is compatible with the HA port for data synchronization when thread_pool is enabled in openGauss 3.0. Auto Scaling: optimize the logic of Zookeeper event handling in `PipelineJobExecutor` to avoid zk blocking events. Auto Scaling: scaling data synchronization is case-insensitive for table names. Auto Scaling: improved PostgreSQL/openGauss replication slot

Auto Scaling: improved lock protection in preparation phase Auto Scaling: improve data synchronization in PostgreSQL rebuild scenarios after the same record is deleted. Auto Scaling: data sources created by scaling are not cached at the bottom. Resilient Scaling: reuse data sources as much as possible to reduce database connection occupancy. DistSQL: `REFRESH TABLE METADATA` supports specified PostgreSQLs schema. DistSQL: add check for binding tables under `ALTER SHARDING TABLE RULE` Operational mode: ShardingSphere-JDBC support for configuring database connection names. Distributed transactions: prohibit DistSQL execution in transactions. Distributed transaction: autocommit = 0, DML will automatically open transaction in DDL part. Kernel: fix PostgreSQL and openGauss show statement parsing exceptions. Kernel: fix PostgreSQL and openGauss time extract function parsing exceptions. Kernel: fix PostgreSQL and openGauss select mod function parsing exceptions. Kernel: fix the execution exception of multiple schema join statements in read/write separation scenario. Kernel: fix exception in execution executing create schema statement in encryption scenario. Kernel: fix drop schema if exist statement exception. Kernel: fix routing error with `LASTINSERTID()` Kernel: fix use database execution exception in no data source state. Kernel: fix function creation statement with set var. Access: fix null pointer caused by field case mismatch in ShardingSphere-Proxy PostgreSQL /openGauss `Describe PreparedStatement` Access: fix ShardingSphere-Proxy PostgreSQL /openGauss not returning to correct tag after schema DDL execution. Auto Scaling: fix MySQL unsigned type error in the scaling process. Auto Scaling: fix a connection leak problem when the consistency check fails to create a data source. Auto Scaling: fixes an issue where `ShardingSphereDataSource` initialization process ignores rules other than sharding. Auto-scaling: support for jobs being closed in the preparation phase. Auto-scaling: fixes data source url and jdbcurl compatibility issues. Auto-scaling: fixes creation timing issues of openGauss data replication to avoid possible incremental data loss. Auto-scaling: improve job state persistence to ensure that special cases are not overwritten with the old state. Auto-scaling: fix PostgreSQLs inability to correctly resolve null when using TestDecoder for incremental migration. DistSQL: fix `SET VARIABLE` changes not taking effect in standalone and in-memory modes. DistSQL: fix the problem where `SHOW INSTANCE LIST` is not consistent with actual data. DistSQL: fix the case-sensitive problem in sharding rules. Run mode: fix the problem of metadata missing in the new version after the scaling feature changes the table splitting rules. Distributed transaction: fix the problem that `indexinfo` obtained according to catalog is empty. Auto-scaling: refactoring `jobConfig` to facilitate reuse and extension of new types of jobs. Run mode: optimize the storage structure of compute nodes in the registry center. Run mode: use `uuid` to substitute `ip@port` as a unique instance identifier. DistSQL: `EXPORT SCHEMA CONFIG` is adjusted to `EXPORT DATABASE CONFIG` DistSQL: `IMPORT SCHEMA CONFIG` is adjusted to `IMPORT DATABASE CONFIG` Run mode: Adjust `db-discovery` algorithm configuration. DistSQL: `SHOW SCHEMA RESOURCES` is adjusted to `SHOW DATABASE RESOURCES` DistSQL: `COUNT SCHEMA RULES` is adjusted to `COUNT DATABASE RULES` Permissions: permission provider `ALLPRIVILEGESPERMITTED` updated to `ALL_PERMITTED` Permissions: Permissions provider `SCHEMAPRIVILEGESPERMITTED` updated to `DATABASE_PERMITTED` Thanks to the efforts made by the 54 ShardingSphere contributors, who submitted a total of 1028 PRs, to make the ShardingSphere 5.1.2 release possible. Relevant links: [ShardingSphere twitter ](https://twitter.com/ShardingSphere) Weijie Wu SphereEx Infrastructure R&D Engineer, Apache ShardingSphere PMC Weijie focuses on the R&D of Apache ShardingSpheres Access Terminal and ShardingSpheres subproject .