My first 90 days with ClickHouse.pdf

June 7th, 2022 - My first 90 days with ClickHouse - Alkin Tezuysal -
EVP Global Services - ChistaDATA Inc.

Let’s get connected with Alkin first
● Alkin Tezuysal - EVP - Global Services @chistadata
○ Linkedin : https://www.linkedin.com/in/askdba/
○ Twitter: https://twitter.com/ask_dba
● Open Source Database Evangelist
○ Previously PlanetScale, Percona and Pythian as Technical Manager, SRE, DBA (MySQL)
○ Previously Enterprise DBA , Informix, Oracle, DB2 , SQL Server
● Author, Speaker, Mentor, and Coach
@ChistaDATA Inc. 2022
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Also…
Someone who is Born to Sail
Forced to Work
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Trivia Question ?
The left and right sides of the boat are referred to as what?
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About MySQL Cookbook 4th Edition
● O’reilly Book previously authored by Paul Dubois 3 editions
● Solutions for Database Developers and Administrators
● More than 950 pages of recipes for specific database challenges
● It took two years of authoring, rewriting, reviewing, editing and learning.
● Co-authored with Sveta Smirnova - MySQL Expert / Author , Percona
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@svetsmirnova

About another book…
By Vijay Anand
● Database Fundamentals overview
● Comparison and examples from different data stores
● Techniques, tips and tricks for ClickHouse
● Great overview and summary for beginners
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About ClickHouse
● Columnar Storage
● SQL Compatible
● Open Source (Apache 2.0)
● Shared Nothing Architecture
● Parallel Execution
● Rich in Aggregate Functions
● Super fast for Analytics workload
○ Compression and Encoding
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Other ClickHouse features
● Engine types for analytical workloads
● Materialized Views
● External data connectors
● Data types for compatibility with other sources
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Columnar Storage
orders
order_id 1 2 3 4
order_code AB-01 AB-02 AB-02 AB-03
order_amount 2.99 1.99 1.50 2.25
order_category stationary stationary stationary gifts
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SQL Compatible
● Full SQL parser (INSERT)
○ INSERT INTO t VALUES (1, 'Hello, world'), (2, 'abc'), (3, 'def')
● Data format parser
○ SELECT EventDate, count() AS c FROM test.hits GROUP BY EventDate WITH TOTALS
ORDER BY EventDate FORMAT TabSeparated
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Shared Nothing Architecture
Data distribution refers to splitting the very large dataset into multiple shards
which are stored on different servers. ClickHouse divides the dataset into
shards according to the sharding key. Each shard holds and processes a part
of the data, the query results from multiple shards are then combined together
to give the final result.
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Zookeeper
Sharding
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Shard_01 Shard_02 Shard_03 Shard_n

Replication
Data replication refers to keeping a copy of the data on the other server nodes for
ensuring availability in case of server node failure.
This can also improve performance by allowing multiple servers to process the
data queries in parallel.
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Zookeeper
Replication
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Shard_01 Shard_02 Shard_03 Shard_n
Replica_01 Replica_02 Replica_03 Shard_n

Replication & Sharding
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Shard_01
Replica_01
Clickhouse Node 1
Shard_04
Replica_04
Shard_02
Replica_02
Clickhouse Node 2
Shard_03
Replica_03
Shard_05
Replica_05
Clickhouse Node 3
Shard_06
Replica_06
Shard_n
Replica_n
Clickhouse Node n
Shard_n
Replica_n
Zookeeper

Replication & Sharding
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Parallel Execution
● Large queries are parallelized naturally, taking all the necessary resources available on the current
server.
● Distributed processing on multiple nodes.
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Rich in Aggregate Functions
● Generic aggregate functions (count, min, max, avg, etc.)
○ Ton of ClickHouse specific aggregate functions
● Parametric aggregate functions (histogram, sequenceMatch, etc.)
● Combinators to change the behavior of the aggregate function (-if sumIf,
avgIf)(-array sumArray, uniqArray)
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Super fast for Analytics workload
● Cost efficient performance against other solutions
● Improved performance on every release
● Use cases and usage increasing hence
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Data on Kubernetes?
● Still a controversial subject?
● Community and use cases
● Is it production grade yet?
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Operators
● Vitess operator by PlanetScale
● Percona XtraDB, MongoDB, PostgreSQL operators by Percona
● ClickHouse Kubernetes Operator by Altinity
● Oracle MySQL InnoDB Cluster
● More to come? Maybe …
● In the meantime other operators
○ RedShift,
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Altinity Operator for ClickHouse
● Creates ClickHouse clusters defined as custom resources
● Customized storage provisioning (VolumeClaim templates)
● Customized pod templates
● Customized service templates for endpoints
● ClickHouse configuration management
● ClickHouse users management
● ClickHouse cluster scaling including automatic schema propagation
● ClickHouse version upgrades
● Exporting ClickHouse metrics to Prometheus
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Altinity Operator for ClickHouse
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Open Source ClickHouse Community
1. DOK
2. ClickHouse
3. Altinity
4. ChistaDATA
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About ChistaDATA Inc.
● Founded in 2021 by Shiv Iyer - CEO and Principal
● Has received 3M USD seed investment
● Focusing on ClickHouse infrastructure operations
● Services around dedicated Managed Services, Support and Consulting
● We’re hiring globally DBAs, SREs and DevOps Engineers
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My first 90 days with ClickHouse.pdf

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My first 90 days with ClickHouse.pdf