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Apache Doris在公交行业的应用实践-公开.pdf

1、Apache Doris 在公交行业的应用实践杜忠猛智达信科 数据研发部大数据专家Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

2、 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023目录2.平台架构演进3.公交应用实践4.总结与展望1.行业背景Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023

3、Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20231行业背景Doris Summit Asia 2023Doris Sum

4、mit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023D

5、oris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023智达科技成立于2002年,是国内专注于“公共交通智能化”领域的专业化高新技术企业。公司聚焦于“有核心技术和产品的智慧出行整体解决方案提供商”核心战略,以“数字底座”为核心技术,产品线覆盖“企业、政府、公众”三大客户群体,为公交行业数字化转型提供一站式解决方案。Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

6、 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20232亿人次覆盖每天2

7、亿人次公交周转量3亿人口覆盖近3亿人口的公共交通出行15万车辆覆盖国内公交行业15万辆车60个城市覆盖60余座城市5个国家覆盖一带一路沿线5个国家覆盖全国60余主要城市,直辖市占有率50%Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Su

8、mmit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023过去十年,国家政策支撑为公交行业发展带来了历史的发展机遇,随着这十年的高速发展,公交行业的基础设施和治理手段有了质的飞跃,如智能硬件、智能调度、智能助手等的应用。随着发展,供给侧和需求侧的的矛盾日益突出,一方面是人民日益

9、增长的灵活且多样化的出行需求,一方面是传统公交经营模式难以升级的困境,使得公交行业的数字化升级成为了必由之路。Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Dor

10、is Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023为解决公交行业数字化转型面临的问题,智达决定构建数据中台。智达数据中台实现了收、存、治、算、用,五大基础能力,让数据从采集、存储、处理、计算到应用变成标准化的能力。实现业务数据的可视化,辅助集团管理层科学决策,推动业务系统优化。Doris Summit Asia 2023Doris Summit

11、Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris

12、 Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20232平台架构演进Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit

13、 Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023数据源DEBSrc-StreamSrc-RDBMSSrc-Misc计算引擎任务调度ODSDWDDWSADSSQLAPIKong-API-GateIOTMD一期架构数据仓库数据应用数据服务即席分析Doris Summit Asia 2023Doris Summit Asia

14、 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Sum

15、mit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023对于日增千万级别的数据,Mysql无法承载Hive数仓落盘时效性10分钟级别数据时效性Presto测试查询并发百级别查询不稳定,对于同一个SQL两次查询耗时相差数倍查询并发Presto查询时效性在秒至分钟级别对于大数据量实时OLAP响应及时性差查询延迟高由于Mysql承载数据量有限,大量计算逻辑、状态需要在内存完成开发周期长计算复杂一期架构的问题Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Dor

16、is Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

17、 2023Doris Summit Asia 2023 可以方便地与Flink、Spark框架结合使用 数据导入便捷,数据导入时效性高,秒级 外部表能力,可以分析其他存储数据,简化整体功能丰富 故障自动恢复 集群扩展方便 社区活跃,方便与社区沟通运维便捷 明细数据级别多表join能力 支持分区,单表百亿级别数据量 支持复杂SQL逻辑,索引,视图OLAP能力 直接承载后端API查询 通用的SQL查询语法 查询响应快速,毫秒至秒级别 可以支持上千并发高性能平台需求Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Do

18、ris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asi

19、a 2023Doris Summit Asia 2023OLAP引擎 标准SQL 查询延迟导入延迟导入语义Join支持明细查询并发生态运维难度Doris非常完善低实时Exactly-Once支持支持支持独立低ClickHouse较完善低实时At-least-Once一般支持较差独立中Druid较完善低实时Exactly-Once较低支持支持不独立低Kylin非常完善非常低分钟级无不支持不支持支持不独立高Presto非常完善一般分钟级无支持支持支持不独立低OLAP 技术选型Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

20、2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summ

21、it Asia 2023Doris Summit Asia 2023二期架构数据源DEBSrc-StreamSrc-RDBMSSrc-Misc计算引擎任务调度ODSDWDDWSADSSQLAPIKong-API-GateIOTMD数据仓库数据应用数据服务即席分析Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit As

22、ia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023-查询指定车辆定位数据,关联组织机构SELECTa.*,b.*FROM(SELECT*FROM db.TI_GPS_TABLE WHERE rq=

23、AND GPSHOUR=10 AND busname=123)as aLEFT JOIN(SELECT*FROM db.TD_MD_CL_TABLE tmhcd WHERE rq=)as bON a.rq=b.rq AND a.busname=b.clzbh;-定位数据提取,数据量15亿SELECT*FROM db.TI_GPS_TABLE WHERE rq=AND GPSHOUR=10 AND BUSNAME=123;-定位数据表结构CREATE TABLE TI_GPS_TABLE(RQ date NOT NULL COMMENT GPS日期,GPSHOUR int NOT NULL CO

24、MMENT GPS时间小时,GPSMIN int NOT NULL COMMENT GPS时间分钟,GPSTIME bigint NOT NULL COMMENT GPS数据时间,BUSNAME varchar(50)NOT NULL COMMENT 车辆名称,LATITUDE bigint REPLACE_IF_NOT_NULL NULL COMMENT 纬度*36000,LONGITUDE bigint REPLACE_IF_NOT_NULL NULL COMMENT 经度*36000,SPEED double REPLACE_IF_NOT_NULL NULL COMMENT 速度 km/

25、h.)AGGREGATE KEY(RQ,GPSHOUR,GPSMIN,GPSTIME,BUSNAME).Doris 测试结果40%Join 场景提升70%数据回放提升10倍每秒 QPS提升Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Su

26、mmit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20233公交应用实践Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit As

27、ia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023优化实践Dor

28、is Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

29、 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 202302550755200225250275300325350375400周一周二周三周四周五周六周日升级前升级后95分位查询用时-ms向量化升级,提高查询性能客流分析出车分析维修保养CAN感知26%31%35%27%Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023D

30、oris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit As

31、ia 2023Stream Load 在智达的使用使用重试机制,写入失败时,定时重试,重试后仍然失败的批次写入hdfs,Spark定时任务检测hdfs,写入Doris。第一阶段Flink Checkpoint保证数据精准一次性写入。第二阶段使用Flink Doris Connector保证数据精准一次性写入。第三阶段Stream LoadDoris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20

32、23Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023第一阶段FlinkDorisStream Load批次写入失败,重试

33、HDFSSparkDolphinDoris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20

34、23Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023第二阶段BEFEJobManagerState BackendSourceSinkInput Start Checkpoint Stream Load Snapshot state Sink Request AbortedDoris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summi

35、t Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Dor

36、is Summit Asia 2023-创建“刷卡刷码”数据Kafka数据源CREATE TABLE icqrKafkaTable(rq STRING,/检录日期hour STRING,/检录小时lineID STRING,/线路编号perkType STRING,/检录类型,刷卡/扫码direction STRING,/线路方向ts TIMESTAMP(3)METADATA FROM timestamp,procTime as PROCTIME()WITH(connector=kafka,topic=ICQR,.)-开窗汇总乘客客流人次,并关联Mysql线路维表,增加线路名称字段insert

37、 into flink_doris_sink select c.rq,c.hour,c.lineID,c.lineName,c.perkType,c.direction,count(1)(select a.rq,a.hour,a.lineID,b.lineName,a.perkType,a.direction,a.procTimefrom icqrKafkaTable aLEFT JOIN Mysql_xl FOR SYSTEM_TIME AS OF a.procTime as b/时态表on a.lineId=b.lineId)as c GROUP BY c.rq,c.hour,c.line

38、Id,c.lineName,c.perkType,c.direction,TUMBLE(c.procTime,INTERVAL 30 SECONDS);-创建Doris写入表CREATE TABLE flink_doris_sink(RQ STRING,/日期HOUR STRING,/小时LINID STRING,/线路编号LINENAME STRING,/线路名称,新增PERKTYPE STRING,/检录类型,刷卡/扫码DIRECTION STRING,/线路方向RC STRING/人次,Doris字段聚合类型为SUM)WITH(connector=doris,.)第三阶段Doris Su

39、mmit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023

40、Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023实际车次.运送速度.准点车次.营业里程.实际配班.实际配车.Doris表列SQLSQLSQLSQLSQLSQLFlink作业部分列更新,提高运调业务开发效率车次分析速度分析准点分析里程分析配班分析配车分析Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023

41、Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023 建表耗时由原来的秒级增加到

42、分钟级 建表分区数多,经常会超时问题现象 官网建议单个Tablet 1G-10G 采用方案:ADS层表,单Tablet 50M ODS层大数据量表,单Tablet 100M-500M解决方案180万30万优化前优化后元数据压力Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summi

43、t Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023HiveIceBergHudiESJDBCDLF.Hive Catalog访问流程FE3.Plan&分区裁剪HiveMetaStoreHDFS/S3BE1.获取Schema2.获取P

44、artition4.获取File List5.任务拆分6.任务下发7.读取文件数据湖分析Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit A

45、sia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023问题点元数据管理 如何检索多个Doris集群表的元数据 有多少张生产表、多少张测试表 表是做什么的,从哪一个业务系统产生 表处于数仓中的哪一层 表是哪一种数据模型 表中的数据是什么类型,主数据、事务数据还是感知数据 数据的保留周期是多久 谁创建,谁修改过表Web元数据API元数据库Doris操作APIDoris1Dor

46、is2Doris3Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris

47、 Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023 多集群元数据管理 数据库创建、检索 表创建(表单、SQL)、检索、字段检索 业务域、数据维度、数据密级、数据类型、操作人信息功能点 元数据校验 元数据自动同步、告警 一键同步表元数据元数据同步元数据管理Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris

48、 Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2

49、023Query 监控Flume审计日志KafkaDoris用户日查询量各Doris用户账号日查询量、查询平均延迟慢查询SQL用户的慢查询SQL列表错误查询SQL用户的错误查询SQL列表扫描数据量扫描数据量超过百万行SQL列表SQL改写BitMap索引BloomFilterDoris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Sum

50、mit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 20234总结与展望Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia

51、 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Sum

52、mit Asia 2023Doris Summit Asia 2023800张+应用表280万+日查询5000亿+数据条数600+指标数550+API应用现状Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023D

53、oris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023将 Doris 融入到更多的业务场景中承载更多的实时+离线业务,推动离线指标实时化Doris 新版本跟进,将更多新特性融入并改善现有业务积极与社区交流,为社区提供更多 Doris 在公交领域的使用场景实践未来展望Doris Summit Asia 2

54、023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summi

55、t Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023获取更多社区动态与最佳实践Doris Summit 峰会官网:doris- Doris Summit 峰会回放:https:/ Doris 官网:doris.apache.orgApache Doris GitHub: Doris 官方平台:Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023Doris Summit Asia 2023

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