hHp://docs.mongodb.org/manual/core/aggrega*on-­‐pipeline/ WHY MONGODB - DYNAMIC RULE MANAGEMENT We can leverage the aggrega*on pipeline for wri*ng rules. VARIABLE RULES parameters on an URL. They can be tested for specific values. PIPELINE RULES - DYNAMIC RULE MANAGEMENT • When the user is younger than 40 years Rule Type: pipeline { "$match" : { "user_id" : "#userId#" }} { "$match" : { "age" : { "$lt" : 40}}} Pipeline rules are

Redis 客户端都提供了对流⽔线特性的⽀持， 因此 Redis ⽤户在绝⼤部分情况下都能够享受到流⽔线 特性带来的好处。 为了在 redis-py 客户端中使⽤流⽔线特性， 我们需要⽤到 pipeline() ⽅法， 调⽤这个⽅法会返回⼀个流⽔线对 象， ⽤户只需要像平时执⾏ Redis 命令那样， 使⽤流⽔线对象调⽤相应的命令⽅法， 就可以把想要执⾏的 Redis 命令放⼊到流⽔线⾥⾯。 作为例⼦， = client.pipeline(transaction=False) >>> pipe.set("msg", "hello world") Pipeline>> >>> pipe.incrby("pv_counter::12345", 100) PipelinePipeline>> >>> pipe.execute() [True, 100, 3] 这段代码⾸先使⽤ pipeline() ⽅法创建了⼀个流⽔线对象， 并将这个对象储存到了 pipe 变量⾥⾯ （pipeline() ⽅法中的 transaction=False

ClickHouse in Production: Yandex.Metrika Site visitor Embedded JS HTTP Server Message Broker Daemons Pipeline mt-nano mt-log mt-giga Key-Value Store Dictionary Data DB Java API BI Tool Site Owner Data ClickHouse in Production: Yandex.Metrika Site visitor Embedded JS HTTP Server Message Broker Daemons Pipeline mt-nano mt-log mt-giga Key-Value Store Dictionary Data DB Java API BI Tool Site Owner Data ClickHouse in Production: Yandex.Metrika Site visitor Embedded JS HTTP Server Message Broker Daemons Pipeline mt-nano mt-log mt-giga Key-Value Store Dictionary Data DB Java API BI Tool Site Owner Data

Target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 516 11.8 Pipeline E2E Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517 11.8 shardingsphere-data-pipeline-cdc-client ${version} CDC Client Introduction org.apache.shardingsphere.data.pipeline.cdc.client.CDCClient is the shardingsphere.data.pipeline.cdc.client.CDCClient; import org.apache.shardingsphere.data.pipeline.cdc.client.config. CDCClientConfiguration; import org.apache.shardingsphere.data.pipeline.cdc.client.handler

目标 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477 11.7 Pipeline E2E 测试 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478 11.7.1 shardingsphere-data-pipeline-cdc-client ${version} CDC Client 介绍 org.apache.shardingsphere.data.pipeline.cdc.client.CDCClient 是 CDC Client shardingsphere.data.pipeline.cdc.client.CDCClient; import org.apache.shardingsphere.data.pipeline.cdc.client.config. CDCClientConfiguration; import org.apache.shardingsphere.data.pipeline.cdc.client.handler

Target . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487 11.8 Pipeline E2E Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 488 11.8 Table 1 – continued from previous page SQL S tate V endor Code Reason 0 A000 18052 Unsupported pipeline database type ˋ%sˋ. 0 A000 18053 Unsupported CRC32 data consistency calculate algorithm with database database type ˋ%sˋ. 0 A000 18054 Unsupported mode type ˋ%sˋ. H Y000 18080 Can not find pipeline job ˋ%sˋ. H Y000 18081 Job has already started. H Y000 18082 Sharding count of job ˋ%sˋ is 0. H Y000

目标 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 11.7 Pipeline E2E 测试 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 11.7.1 Apache ShardingSphere document 表 1 – 接上页 SQL S tate V endor Code 错误信息 0 A000 18052 Unsupported pipeline database type ‘%s‘. 0 A000 18053 Unsupported CRC32 data consistency calculate algorithm with database database type ‘%s‘. 0 A000 18054 Unsupported mode type ‘%s‘. H Y000 18080 Can not find pipeline job ‘%s‘. H Y000 18081 Job has already started. H Y000 18082 Sharding count of job ‘%s‘ is 0. H Y000

目标 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430 11.7 Pipeline E2E 测试 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431 11.7.1 units names ‘%s‘ do not exist. 0 8000 18051 Data check table ‘%s‘ failed. 0 A000 18052 Unsupported pipeline database type ‘%s‘. 0 A000 18053 Unsupported CRC32 data consistency calculate algorithm with database database type ‘%s‘. 0 A000 18054 Unsupported mode type ‘%s‘. H Y000 18080 Can not find pipeline job ‘%s‘. H Y000 18081 Job has already started. H Y000 18082 Sharding count of job ‘%s‘ is 0. H Y000

Asynchronous Command Processing ........................................................... 930 34.5. Pipeline Mode ......................................................................................... 934 118 Queries The optional WHERE, GROUP BY, and HAVING clauses in the table expression specify a pipeline of successive transformations performed on the table derived in the FROM clause. All these transformations .................... 930 34.5. Pipeline Mode ................................................................................................. 934 34.5.1. Using Pipeline Mode .........................

Asynchronous Command Processing ...................................................... 885 34.5. Pipeline Mode ................................................................................... 889 34 various ways. The optional WHERE, GROUP BY, and HAVING clauses in the table expression specify a pipeline of successive transformations performed on the table derived in the FROM clause. All these transforma- ....................... 885 34.5. Pipeline Mode ........................................................................................... 889 34.5.1. Using Pipeline Mode ............................