databases / tables (such as information_schema, pg_catalog). When connecting to Proxy through some graph database clients, the client or proxy may have an er‐ ror prompt. You can use command‐line clients to”. They can also visually observe the SQL routing situation through the generated topological graph, make timely responses, and quickly locate the root cause of problems. 8.10. Observability 55 Apache startup will have been successful. 6. Configure CDC on demand. 6.1. Query configuration. SHOW STREAMING RULE; The default configuration is as follows: +---------------------------------------------

Manager) can guarantee a high transaction con‐ sistency. TM and RM use XA protocol for bidirectional streaming. Compared with traditional local transactions, XA transactions have a prepared phase, where the the pressure test results of all tasks python3 plot_graph.py sharding python3 plot_graph.py ms python3 plot_graph.py sharding_ms python3 plot_graph.py encrypt b. Use Jenkins "Publish HTML reports" plugin roxy-bin/bin/stop.sh Generate pressure test curve picture # Generate graph cd /home/jenkins/sysbench_res/ python3 plot_graph.py sharding Use Jenkins Publish HTML reports plugin to publish pictures

Manager) can guarantee a high transaction con‐ sistency. TM and RM use XA protocol for bidirectional streaming. Compared with traditional local transactions, XA transactions have a prepared phase, where the Apache ShardingSphere document, v5.1.1 python3 plot_graph.py sharding python3 plot_graph.py ms python3 plot_graph.py sharding_ms python3 plot_graph.py encrypt b. Use Jenkins "Publish HTML reports" plugin roxy-bin/bin/stop.sh Generate pressure test curve picture # Generate graph cd /home/jenkins/sysbench_res/ python3 plot_graph.py sharding Use Jenkins Publish HTML reports plugin to publish pictures

Manager) can guarantee a high transaction con‐ sistency. TM and RM use XA protocol for bidirectional streaming. Compared with traditional local transactions, XA transactions have a prepared phase, where the Apache ShardingSphere document, v5.1.2 python3 plot_graph.py sharding python3 plot_graph.py ms python3 plot_graph.py sharding_ms python3 plot_graph.py encrypt b. Use Jenkins "Publish HTML reports" plugin roxy-bin/bin/stop.sh Generate pressure test curve picture # Generate graph cd /home/jenkins/sysbench_res/ python3 plot_graph.py sharding Use Jenkins Publish HTML reports plugin to publish pictures

List data) { // process data // ... } } Streaming Streaming can be enabled or disabled through the property streaming.process. If streaming is enabled, the job will stop fetching data only when run; If streaming is disabled, the job will execute the fetchData and processData methods only once during each job execution, and then the job will be completed immediately. If use the streaming job to job.DataflowJob Configuration: Name Data Type Description Default Value streaming.process boolean Enable or disable Streaming false Script Job Type: SCRIPT Configuration: Name Data Type Description

ShardingSphere-Proxy Cluster mode started successfully 确认启动成功。 6. 按需配置 CDC 任务同步配置 6.1. 查询配置。 SHOW STREAMING RULE; 默认配置如下： +--------------------------------------------------------------+------------------- ------------------------------------------+ 6.2. 修改配置（可选）。 因 streaming rule 具有默认值，无需创建，仅提供 ALTER 语句。 完整配置 DistSQL 示例： ALTER STREAMING RULE ( READ( WORKER_THREAD=20, BATCH_SIZE=1000, SHARDING_SIZE=10000000 STREAM_CHANNEL (TYPE(NAME='MEMORY',PROPERTIES('block-queue-size'='2000'))) ); 配置项说明： ALTER STREAMING RULE ( READ( -- 数据读取配置。如果不配置则部分参数默认生效。 WORKER_THREAD=20, -- 影响全量、增量任务，从源端摄取数据的线程池大小，不配置则使用默认值，需要

processData(ShardingContext shardingContext, List data) { // process data // ... } } 流式处理 可通过属性配置 streaming.process 开启或关闭流式处理。 如果开启流式处理，则作业只有在 fetchData 方法的返回值为 null 或集合容量为空时，才停止抓取，否 则作业将一直运行下去；如果关闭流式处 数据流作业 接口名称：org.apache.shardingsphere.elasticjob.dataflow.job.DataflowJob 可配置属性： 名称 数据类型 说明 默认值 streaming.process boolean 是否开启流式处理 false 脚本作业 类型：SCRIPT 可配置属性： 名称 数据类型 说明 默认值 script.command.line String

sysbench_result_aggregation: a. 重新对所有任务的压测结果执行画图脚本 python3 plot_graph.py sharding python3 plot_graph.py ms python3 plot_graph.py sharding_ms python3 plot_graph.py encrypt b. 使用 Jenkins 的 Publish HTML reports 插件将所有图片整合到一个 # Generate graph cd /home/jenkins/sysbench_res/ python3 plot_graph.py sharding 利用 Jenkins 的 Publish HTML reports 插件将图片发布到页面里 HTML directory to archive: /home/jenkins/sysbench_res/graph/ Index page[s]: Apache ShardingSphere document, v5.0.0-beta 附录 2 plot_graph.py import sys import matplotlib.pyplot as plt import numpy as np def generate_graph(path, case_name): dataset = { 'build_num': [], 'master_version':

the ID of a ResultMap that can map the nested results of this argument into an appropriate object graph. This is an alternative to using a call to another select statement. It allows you to join multiple duplicated, repeating groups of data that needs to be decomposed and mapped properly to a nested object graph. To facilitate this, MyBatis lets you "chain" result maps together, to deal with the nested results

MyBatis 采用功能强大的基于 OGNL 的表达式来简化操作 if choose (when, otherwise) trim (where, set) foreach 4) OGNL（ Object Graph Navigation Language ）对象图导航语言，这是一种强大的 表达式语言，通过它可以非常方便的来操作对象属性。 类似于我们的 EL，SpEL 等 访问对象属性： person.name