/pallas

Curator is to Zookeeper what Pallas is to Elasticsearch

Primary LanguageJava

logo Pallas

Curator is to Zookeeper what Pallas is to Elasticsearch.

                  --Dylan.Xue

Pallas, the VIP.com's uniform search platform, built on top of the elasticsearch, aiming to solve all kinds of search-problem, such as full-text search with scoring, database sharding search, big-data search, complex aggregation search along with performance, scalability and high avaliability required, which are hard to sovled by the tradition SQL or NoSQL database. Shinning features include:

  • ES visualization management & monitoring tools based on Cerebro, bigdesk, sense. You can get them all by visiting http://localhost:8081.
  • ES search template management based on index level.
    • CURD, render and debug the templates.
    • Import and export.
    • Include syntax, highlighting, json fromat.
    • Review process required before taking effect.
    • Version comparing.
    • Template canary.
  • Deep integration between MySQL and ES.
    • Field Mapping auto generated based on MySQL schema.
    • Generate DSL via elasticsearch-sql.
    • Data-sync from DB to ES, including full-import/checking/binlog-based incremental update.(base on saturn and rdp, to be open)
  • ES http-protocol proxy.
    • Netty-based application with filter-chain pattern.
    • Service governance: index routing/timeout/retry/flow-record/slow log/index and template canary/toke-based authorization.
    • Together with Client-SDK provides you with load balance/failover abilities.
  • Pallas ES-plugin updated without a restarat.
    • Extends from AbstractSearchScript.
    • Each plugin has its own classloader.
    • Thorough class loading & unloading.
  • Pallas Console
    • ES clusters management.
    • Index management.
    • Tempalate review process.
    • ES-proxy management(metrisc/offline & online).
    • Token management.
    • Pallas plugin management.

Pallas是唯品会统一的检索平台，基于ElasticSearch深度定制，解决关系数据库和NOSQL均无法有效处理的文本检索打分，模糊查询，数据多关键字组合查询，聚合等问题场景。 功能包括:

  • ES可视化管理监控，基于Cerebro，bigdesk，sense。通过访问http://localhost:8081 就能全拥有了。
  • ES模板管理，基于索引粒度
    • 增删改查、渲染DSL、在线调试
    • 批量导入导出
    • include语法， json 美化，高亮语法
    • 模板审核机制，灰度上线
    • 新旧版本对比
  • 深度整合MySQL和ES
    • 基于db schema自动生成Field mapping
    • 通过elasticsearch-sql自动转化SQL到ES DSL。
    • 数据同步（全量、对账、增量），基于saturn 和 rdp，这块很快会开源。
  • ES http协议代理
    • 基于netty和filter链模式代理http请求
    • 完善的服务治理：路由、超时重试、流量录制、索引和模板灰度、基于token的鉴权
    • 配合使用client-sdk，能做到负载均衡、自动容错
  • Pallas的ES插件，线上热插拔
    • Extends from AbstractSearchScript
    • 独立的classloader设计
    • 完善的class加载和卸载
  • Pallas Console管理控制台
    • ES集群管理
    • 代理管理(监控指标、上线下线）
    • token管理
    • 模板审核流程
    • 插件管理

Main modules 主要模块

Modules Functionalities
pallas-es 基于ES 5.5.2
增加在线升级、在线重启插件
提供rpm包，一键安装
pallas-index
尚未开源		 同步数据模块，包括全量、增量、对账
同步状态检测
pallas-search ES http代理层
服务治理：鉴权、路由、超时重试、流量复制、模板灰度、别名灰度等
pallas-console 索引管理：管理索引、管理模板、管理版本、流量录制、路由管理、服务治理、索引操作记录等等
集群管理：管理ES集群，集成cerebro可视化管理系统，集成bigdesk可视化监控
权限管理：基于token的授权方式
代理管理：上线/下线代理，实时查看qps/流量记录/连接数
pallas-client 基于ES rest client
自动负载均衡
超时重试
可配置直连ES还是经过proxy

Pallas architecture

arc

How it looks

looks

looks

looks

looks

Quick Start

Visit http://localhost:8081 after running the following command, make sure you have >=jdk8 installed.

cd quickstart
java -Dfile.encoding=UTF-8 -jar pallas-demo.jar  
(或者运行：sh quickstart.sh)

Click here for more details: Quick Start

Documents

Get Started

Team members