Clickhouse Internals with Tom and Tyler

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In this video I, Tom and Tyler went deep inside the ClickHouse database and understood why is ClickHouse so fast? From API to the disk storage, from single node deployment to cloud deployment, from LSM Trees to several available merge tree table engines, from adhoc queries to Materialised views, we have discussed it all.
Chapters:
00:00 Introduction to ClickHouse
00:45 Guest Introduction and Background
03:17 ClickHouse Demonstration
10:23 Deep Dive into ClickHouse Internals
10:54 Understanding ClickHouse Ingestion Flow
20:23 Data Partitioning and Distribution in ClickHouse
28:36 Exploring ClickHouse Table Engines and Functions
31:22 Parallelized Data Reading and Cluster Utilization
32:16 Ingestion Flow and Distributed Cluster Deployment
32:46 Data Processing Modes and Columnar Format
33:19 Understanding Granule Size and Indexing
36:43 Data Ingestion from Multiple Sources
42:03 Data Merging and Query Processing
56:56 Workload Isolation and Resource Management
01:02:02 Use Cases and Future of ClickHouse
References:
Clickhouse blog: clickhouse.com/blog
SuperCharged Clikchouse: clickhouse.com/blog/superchar...
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Опубликовано:

28 июн 2024

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Комментарии : 3

@harshitpandey6664 6 месяцев назад

Thanks Kaivalya. Is there an overlap between the problem space of click-house and something like apache druid, or they are mutually exclusive. If yes, When should we choose one over the other

@TheGeekNarrator 5 месяцев назад

Thanks Harshit. Yes they both can be used for real time analytics, but I would compare it with something like Apache Pinot which is a better option for real time analytics. Now which one to use depends on a lot of other things, but based on my experiments and testing Clickhouse is simply the FASTEST when it comes to ingestion. For reads Apache Pinot and Clickhouse are equally awesome, but both have a few different features that can shape your decision. For example. Data mutation, elasticity of cluster (I guess Clickhouse cloud supports it, but hard to achieve with self hosted cluster?) etc. Unfortunately its not an easy decision, and you have to look at the specific set of features that you want and can tradeoff others.