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ClickHouse 和 Databricks 用于实时分析.pdf

上传人: Fl****zo 编号:718665 2025-06-22 20页 1.91MB

1、ClickHouse and Databricks for Real-Time AnalyticsMelvyn Peignon-Principal Product Manager|ClickHouseJune 11,2025What is ClickHouse?3Your extremely fast databaset FasterLegacy on-prem data platformCloud fata warehouseTransactional and general purpose databaseAd-hoc and periodic workflowsEg.basic data

2、 discovery,generating reportsHighly concurrent and interactiveEg.immersive data drive apps,monitoring/alerting/detectionsReal-time analytics databaseElasticsearchDruidUse Cases 4 Data warehousingData warehousingInteractively slice and dice your data for analysis,reporting,and building internal appli

3、cations.Evaluate user behaviors,ad and media perf,market dynamics,and more.ML and Gen AIML and Gen AIExecute fast and efficient vector search.Plug-and-play Generative AI models from any provider.Use lightning-fast aggregations to power model training at petabyte scale.ClickHouse Adoption5A fast grow

4、ing open-source project40K+Stars7K+Forks1.6k+Contributors490+Active contributorsCommits over timeGithub statisticsDesigned for real Time6ComputezMV 1 Table 2MV 2zzTable 5 MV 5zprojectionprojection Application4 Servert ServerClickHouse Native Formatt High insert throughputt Completely self-containedt

5、 Distributed by designOn top of any Source7Server Application4 ServerServerG 0 Data Lake0m Table 1 MV 1Table 2 Federated queries with many different systemsb Wide array of connectors+Multi-cloudsupportAvailable in the cloud or self-managedReal-time Analytics with DatabricksYour not so typical databa

6、seYour favorite data platform8Question:How to leverage the speed of ClickHouse on top of your data platform?ClickHouse and Open Table Formats9Hot+Writers Writers Table 1MV 1z Application+Data lakeHistory of Delta Lake Support10Starting in the communityBut not onlyHistory of Delta

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本文主要介绍了ClickHouse在实时数据分析方面的应用及其与Databricks的整合。以下是关键点: 1. **ClickHouse特点**:ClickHouse是一个极快的数据仓库,适用于交互式数据分析、报告和内部应用构建,支持实时数据分析,并且具有高并发和互动性。 2. **使用案例**:包括数据仓库、机器学习和生成式AI等。 3. **ClickHouse的普及**:作为一个开源项目,ClickHouse在GitHub上拥有40K+ Stars,7K+ Forks,1.6k+ Contributors,显示出其快速增长和社区活跃度。 4. **设计理念**:ClickHouse为实时计算设计,支持分布式设计,可以在任何数据源服务器之上工作。 5. **与Databricks的整合**:ClickHouse可以通过Delta Kernel与Databricks整合,解决集成挑战,支持分区剪枝、模式演变,并计划支持写入Delta和统计下推等功能。 6. **Delta Lake支持**:社区对Delta Lake的支持不断增长,提供了统一治理、单一权限模型、对Delta表的可见性、开放可访问性等。 7. **未来计划**:包括对时间旅行、删除向量的支持,以及通过Unity REST API和Iceberg REST Catalog查询Databricks表。 文章强调了ClickHouse的速度和易用性,以及与Databricks的整合如何简化实时数据分析的流程。
"ClickHouse速度如何发挥?" "Databricks与实时分析哪家强?" "怎样利用Delta Kernel优化?"
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