 Service Mesh的延伸 — 论道Database MeshService Mesh的延伸 之论道Database Mesh 分享人:张亮 日期:2018年07月25日Service Mesh风头正劲Service Mesh产品多样化Service Mesh的优势 云原生 零入侵 可观察性 面向运维服务化之后,数据库怎么办? 服务 • 无状态 • 根据规则路由 • 业务方处理事务 数据库 • 有状态 • 根据SQL路由 • 数据库自动处理事务数据库的进化趋势 • SQL • ACID+BASE • 分布式 NewSQLNewSQL的分类 New Architecture Transparent Sharding Middleware Database-as-a-Service What's Really New with NewSQL?数据库中间层的优势 系统 •事务 运维 • DBA 开发 • SQL数据库中间层应具备的能力 Sidecar 数据库 任意 单一 单一 连接数 高 低 高 异构语言 仅Java 任意 任意 性能 损耗低 损耗略高 损耗低 无中心化 是 否 是 静态入口 无 有 无 Sidecar的优势Database Mesh架构图Sharding-Sphere 核心功能 数据分片 分布式事务 数据库治理 弹性伸缩 管控界面 实现方案 Sharding-JDBC Sharding-Proxy Sharding-Sidecar0 码力 | 35 页 | 4.56 MB | 6 月前3 Service Mesh的延伸 — 论道Database MeshService Mesh的延伸 之论道Database Mesh 分享人:张亮 日期:2018年07月25日Service Mesh风头正劲Service Mesh产品多样化Service Mesh的优势 云原生 零入侵 可观察性 面向运维服务化之后,数据库怎么办? 服务 • 无状态 • 根据规则路由 • 业务方处理事务 数据库 • 有状态 • 根据SQL路由 • 数据库自动处理事务数据库的进化趋势 • SQL • ACID+BASE • 分布式 NewSQLNewSQL的分类 New Architecture Transparent Sharding Middleware Database-as-a-Service What's Really New with NewSQL?数据库中间层的优势 系统 •事务 运维 • DBA 开发 • SQL数据库中间层应具备的能力 Sidecar 数据库 任意 单一 单一 连接数 高 低 高 异构语言 仅Java 任意 任意 性能 损耗低 损耗略高 损耗低 无中心化 是 否 是 静态入口 无 有 无 Sidecar的优势Database Mesh架构图Sharding-Sphere 核心功能 数据分片 分布式事务 数据库治理 弹性伸缩 管控界面 实现方案 Sharding-JDBC Sharding-Proxy Sharding-Sidecar0 码力 | 35 页 | 4.56 MB | 6 月前3
 Apache Kyuubi 1.7.0-rc0 DocumentationWelcome Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane Java Database Connectivity(JDBC) interface over thrift, or an Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. RESTful APIs It provides system management0 码力 | 404 页 | 5.25 MB | 1 年前3 Apache Kyuubi 1.7.0-rc0 DocumentationWelcome Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane Java Database Connectivity(JDBC) interface over thrift, or an Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. RESTful APIs It provides system management0 码力 | 404 页 | 5.25 MB | 1 年前3
 Apache Karaf Decanter 2.x - Documentation. . . 11 1.2.10. System (oshi). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.2.11. System (script) . . . . . files from other systems to Karaf. It means that you can monitor and send collected data for any system (even if it is not Java based). The file collector deals with file rotation, file not found. The also be specified. # What matters is that the property names begin with "object.name". #object.name.system=java.lang:* #object.name.karaf=org.apache.karaf:type=http,name=* #object.name.3=org.apache.activemq:*0 码力 | 64 页 | 812.01 KB | 1 年前3 Apache Karaf Decanter 2.x - Documentation. . . 11 1.2.10. System (oshi). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.2.11. System (script) . . . . . files from other systems to Karaf. It means that you can monitor and send collected data for any system (even if it is not Java based). The file collector deals with file rotation, file not found. The also be specified. # What matters is that the property names begin with "object.name". #object.name.system=java.lang:* #object.name.karaf=org.apache.karaf:type=http,name=* #object.name.3=org.apache.activemq:*0 码力 | 64 页 | 812.01 KB | 1 年前3
 Apache Karaf Container 4.x - Documentation4.3.2. Stop 4.3.3. Status 4.3.4. Restart 4.3.5. SystemMBean 4.4. Integration in the operating system 4.4.1. Service Wrapper 4.4.2. Service Script Templates 4.5. Using the console 4.5.1. Available JMX LogMBean 4.7.6. Advanced configuration 4.8. Configuration 4.8.1. Environment Variables & System Properties 4.8.2. Files 4.8.3. config:* commands 4.8.4. JMX ConfigMBean 4.9. Artifacts repositories 4.14.7. Security providers 4.15. Docker 4.15.1. Docker images 4.15.2. Docker feature 4.15.3. System-wide information 4.15.4. Show the Docker version information 4.15.5. Search image 4.15.6. Pull0 码力 | 370 页 | 1.03 MB | 1 年前3 Apache Karaf Container 4.x - Documentation4.3.2. Stop 4.3.3. Status 4.3.4. Restart 4.3.5. SystemMBean 4.4. Integration in the operating system 4.4.1. Service Wrapper 4.4.2. Service Script Templates 4.5. Using the console 4.5.1. Available JMX LogMBean 4.7.6. Advanced configuration 4.8. Configuration 4.8.1. Environment Variables & System Properties 4.8.2. Files 4.8.3. config:* commands 4.8.4. JMX ConfigMBean 4.9. Artifacts repositories 4.14.7. Security providers 4.15. Docker 4.15.1. Docker images 4.15.2. Docker feature 4.15.3. System-wide information 4.15.4. Show the Docker version information 4.15.5. Search image 4.15.6. Pull0 码力 | 370 页 | 1.03 MB | 1 年前3
 Apache Kyuubi 1.7.0-rc0 DocumentationKyuubi, Release 1.7.0 Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below Java Database Connectivity(JDBC) interface over thrift, or an Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. • RESTful APIs – It provides system management0 码力 | 210 页 | 3.79 MB | 1 年前3 Apache Kyuubi 1.7.0-rc0 DocumentationKyuubi, Release 1.7.0 Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below Java Database Connectivity(JDBC) interface over thrift, or an Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. • RESTful APIs – It provides system management0 码力 | 210 页 | 3.79 MB | 1 年前3
 Apache Kyuubi 1.3.0 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 199 页 | 4.42 MB | 1 年前3 Apache Kyuubi 1.3.0 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 199 页 | 4.42 MB | 1 年前3
 Apache Kyuubi 1.3.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 199 页 | 4.44 MB | 1 年前3 Apache Kyuubi 1.3.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 199 页 | 4.44 MB | 1 年前3
 Apache Kyuubi 1.4.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 233 页 | 4.62 MB | 1 年前3 Apache Kyuubi 1.4.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 233 页 | 4.62 MB | 1 年前3
 Apache Kyuubi 1.4.0 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 233 页 | 4.62 MB | 1 年前3 Apache Kyuubi 1.4.0 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 233 页 | 4.62 MB | 1 年前3
 Apache Kyuubi 1.5.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the- thrift-jdbcodbc-server] already exists. 1. Supports multi-client create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 267 页 | 5.80 MB | 1 年前3 Apache Kyuubi 1.5.1 Documentationproject despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the- thrift-jdbcodbc-server] already exists. 1. Supports multi-client create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS [https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop- hdfs/HdfsDesign Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you focus on the design and implementation of your business system. Run Anywhere Kyuubi can submit Spark0 码力 | 267 页 | 5.80 MB | 1 年前3
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