SlideShare a Scribd company logo
Introducing TiDB/TiKV
Kevin Xu (@kevinsxu; kevin@pingcap.com)
Agenda
● History and Community
● Technical Walkthrough
● Use Case with Mobike
● Q&A
● (Time Permitting) TiDB on Google Kubernetes Engine
A little about me
● General Manager of Global Strategy and
Operations
● Studied CS and Law at Stanford
● Program in Javascript, Python, and
(more recently) learning Rust
A little about PingCAP
● Founded in April 2015 by 3
infrastructure engineers
● Offices throughout North America
and China
PingCAP.com
Recent News
PingCAP.com
Our Product: the TiDB Platform
● TiDB Platform (Ti = Titanium)
○ TiDB (SQL Layer)
○ TiKV (Key-Value Storage)
○ TiSpark (Spark plugin to TiKV)
● Open source from Day 1
○ GA 1.0: October 2017
○ GA 2.0: April 2018
PingCAP.com
Community
Stars
● TiDB: 15,300+
● TiKV: 3,700+
Contributors
● TiDB: 200+
● TiKV: 100+
Common Use Cases
1. MySQL Scalability
2. Hybrid OLTP/OLAP Architecture
3. Unifying Data Storage/Management
TiDB Platform
PingCAP.com
Cloud-Native Architecture
TiDB
TiDB
TiDB
Applicationvia
MySQLProtocol
TiKV
TiKV
TiKV
TiKV
TiKV
TiKV
Worker
Worker
Worker
Spark Driver
... ...
...
SparkSQL
Spark Cluster
PD Cluster
DistSQL
API
KV API
DistSQL
API
PD
PD PD
Metadata
TSO / Data Location
Data Location
PingCAP.com
TiKV (in CNCF): The Storage Foundation
Region 5
Region 1
Region 3
TiKV node 1
Store 1
Region 4
gRPC
Region 1
Region 2
TiKV node 2
Store 2
Region 3
gRPC
Region 3
Region 1
Region 5
TiKV node 3
Store 3
gRPC
Region 5
Region 1
Region 2
TiKV node 4
Store 4
gRPC
Client
PD 1
PD 2
PD 3
Placement
Driver
Raft GroupRegion 4
Region 4
PingCAP.com
TiDB: The (My)SQL Layer
Node1 Node2 Node3 Node4
MySQL Network Protocol
SQL Parser
Cost-based Optimizer
Coprocessor API
ODBC/JDBC MySQL Client
Any ORM which
supports MySQL
TiDB
TiKV
PingCAP.com
SQL -> Parser -> Coprocessor
PingCAP.com
Join Support
● Hash Join (fastest; if table <= 50 million rows)
● Sort Merge Join (join on indexed column or ordered
data source)
● Index Lookup Join (join on indexed column; ideally
after filter, result < 10,000 rows)
● Chosen based on Cost-base Optimizer:
PingCAP.com
TiSpark: Complex OLAP
Spark ExecSpark Exec
Spark Driver
Spark Exec
TiKV TiKV TiKV TiKV
TiSpark
TiSpark TiSpark TiSpark
TiKV
Placement
Driver (PD)
gRPC
Distributed Storage Layer
gRPC
retrieve data location
retrieve real data from TiKV
PingCAP.com
Placement Driver
● Provide a God’s view of
the entire cluster
● Store metadata, balancing
workload, issue
timestamps
● Also a cluster with
embedded etcd
Placement
Driver
Placement
Driver
Placement
Driver
Raft Raft
Raft
PingCAP.com
Transaction Model
● Timestamp Oracle Service (from
Google’s Percolator)
● 2-Phase commit protocol (2PC)
● Problem: Single point of failure
● Solution: PD HA cluster
Placement
Driver
Placement
Driver
Placement
Driver
Raft Raft
Raft
PingCAP.com
TiDB Operator
● Operator pattern inspired by CoreOS...(now Redhat...(now IBM))
● Boostraps TiDB cluster and simplifies/automates:
○ Deployment
○ Scaling
○ Scheduling
○ Auto-Failover
○ Upgrade
● Open Sourced
○ https://github.com/pingcap/tidb-operator
PingCAP.com
TiDB Operator
API ServerController ManagerScheduler
Kubernetes Core
TiDB Controller Manager
TiDB Cluster Controller
PD Controller
TiKV
Controller
TiDB
Controller
TiDB Scheduler:
TiDB Cloud Manager
API Gateway
Control Plane
Cost Controller
Kube Scheduler
TiDB Scheduler
PingCAP.com
Cloud Native Tools
● Prometheus
○ (maintains Rust implementation:
https://github.com/pingcap/rust-prometheus)
● gRPC
○ (maintains Rust implementation: https://github.com/pingcap/grpc-rs)
● etcd
PingCAP.com
TiDB, Managed As A Cloud Service
Early Access: https://www.pingcap.com/tidb-cloud/
Who’s Using TiDB?
PingCAP.com
Who’s Using TiDB?
300+
Companies
Common Use Cases
1. MySQL Scalability
2. Hybrid OLTP/OLAP Architecture
3. Unifying Data Storage/Management
PingCAP.com
Mobike + TiDB
● 200 million users
● 200 cities
● 9 million smart bikes
● ~30 TB / day
PingCAP.com
Scenario #1: Locking/Unlocking
● Locking and unlocking of smart bikes
generates massive data
● Smooth experience is the key to user retention
● TiDB supports this system by alerting
administrators when the success rate of
locking/unlocking drops, within minutes
● Quickly find malfunctioning bikes
PingCAP.com
Scenario #2: Real-Time Analysis
● Synchronize TiDB with MySQL
instances using Syncer
(proprietary tool)
● TiDB + TiSpark empower
real-time analysis with
horizontal scalability
● No need for Hadoop + Hive
PingCAP.com
Scenario #3: Mobike Store
● An innovative loyalty program that
must be on 24x7x365
● TiDB provides:
○ High-concurrency for peak or
promotional season
○ Permanent storage
○ Horizontal scalability
● No interruption as business evolves
PingCAP.com
Thank You!
20% OFF KubeCon:
KCNA18SPR
kevin@pingcap.com
@kevinsxu; @pingcap
TiDB Cloud Early Access:
https://www.pingcap.com/
tidb-cloud/
TiDB Academy Sign-up:
www.pingcap.com/tidb-ac
ademy/
Appendix
PingCAP.com
CBO 101
or:
Imagine we got a logical plan:
Its physical plan could be:
PingCAP.com
CBO 101
Network cost Memory cost CPU cost
In TiDB, the default memory factor is 5 and CPU factor is 0.8.
For example: Operator Sort(r), its cost would be:
TiDB will maintain histogram of data
PingCAP.com
Relational -> KV
ID Name Email
1 Edward h@pingcap.com
2 Tom tom@pingcap.com
...
user/1 Edward,h@pingcap.com
user/2 Tom,tom@pingcap.com
...
In TiKV -∞
+∞
(-∞, +∞)
Sorted map
“User” Table
Some region...
PingCAP.com
Index Structure
Row:
Key: tablePrefix_rowPrefix_tableID_rowID (IDs are assigned by TiDB, all int64)
Value: [col1, col2, col3, col4]
Index:
Key: tablePrefix_idxPrefix_tableID_indexID_ColumnsValue_rowID
Value: [null]
Keys are ordered by byte array in TiKV, so can support SCAN
Every key is appended a timestamp, issued by Placement Driver
PingCAP.com
Guaranteeing Correctness
● Formal proof using TLA+
○ a formal specification and verification language to reason about and
prove aspects of complex systems
● Raft
● TSO/Percolator
● 2PC
● See details: https://github.com/pingcap/tla-plus
PingCAP.com
MySQL Compatibility - Summary
● Compatibility with MySQL 5.7
○ Joins, subqueries, DML, DDL
etc.
● On the roadmap:
○ Views, Window Functions
● Missing:
○ Stored Procedures, Triggers,
Events, Fulltext
pingcap.com
/docs/sql/mysql-compatibility/
PingCAP.com
MySQL Compatibility - Nuanced
● Some features work differently
○ Auto Increment
○ Optimistic Locking
● TiDB works better with smaller
transactions
○ Recommended to batch
updates, deletes, inserts to
5000 rows
pingcap.com
/docs/sql/mysql-compatibility/
Ad

More Related Content

What's hot (20)

Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubole
kbajda
 
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
PingCAP
 
A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)
PingCAP
 
Building a transactional key-value store that scales to 100+ nodes (percona l...
Building a transactional key-value store that scales to 100+ nodes (percona l...Building a transactional key-value store that scales to 100+ nodes (percona l...
Building a transactional key-value store that scales to 100+ nodes (percona l...
PingCAP
 
Rust in TiKV
Rust in TiKVRust in TiKV
Rust in TiKV
PingCAP
 
TiDB DevCon 2020 Opening Keynote
TiDB DevCon 2020 Opening Keynote TiDB DevCon 2020 Opening Keynote
TiDB DevCon 2020 Opening Keynote
PingCAP
 
Introducing TiDB - Percona Live Frankfurt
Introducing TiDB - Percona Live FrankfurtIntroducing TiDB - Percona Live Frankfurt
Introducing TiDB - Percona Live Frankfurt
Morgan Tocker
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDB
PingCAP
 
Scale Relational Database with NewSQL
Scale Relational Database with NewSQLScale Relational Database with NewSQL
Scale Relational Database with NewSQL
PingCAP
 
Presto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix ContainersPresto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix Containers
kbajda
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Boston
kbajda
 
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
VMware Tanzu
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Iceberg
kbajda
 
Presto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - LyftPresto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - Lyft
kbajda
 
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
PingCAP
 
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
PingCAP
 
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
InfluxData
 
InfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxDB 2.0: Dashboarding 101 by David G. SimmonsInfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxData
 
Challenges in Building a Data Pipeline
Challenges in Building a Data PipelineChallenges in Building a Data Pipeline
Challenges in Building a Data Pipeline
Manish Kumar
 
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Taro L. Saito
 
Presto Summit 2018 - 10 - Qubole
Presto Summit 2018  - 10 - QubolePresto Summit 2018  - 10 - Qubole
Presto Summit 2018 - 10 - Qubole
kbajda
 
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
[Paper Reading]Orca: A Modular Query Optimizer Architecture for Big Data
PingCAP
 
A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)A Brief Introduction of TiDB (Percona Live)
A Brief Introduction of TiDB (Percona Live)
PingCAP
 
Building a transactional key-value store that scales to 100+ nodes (percona l...
Building a transactional key-value store that scales to 100+ nodes (percona l...Building a transactional key-value store that scales to 100+ nodes (percona l...
Building a transactional key-value store that scales to 100+ nodes (percona l...
PingCAP
 
Rust in TiKV
Rust in TiKVRust in TiKV
Rust in TiKV
PingCAP
 
TiDB DevCon 2020 Opening Keynote
TiDB DevCon 2020 Opening Keynote TiDB DevCon 2020 Opening Keynote
TiDB DevCon 2020 Opening Keynote
PingCAP
 
Introducing TiDB - Percona Live Frankfurt
Introducing TiDB - Percona Live FrankfurtIntroducing TiDB - Percona Live Frankfurt
Introducing TiDB - Percona Live Frankfurt
Morgan Tocker
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDB
PingCAP
 
Scale Relational Database with NewSQL
Scale Relational Database with NewSQLScale Relational Database with NewSQL
Scale Relational Database with NewSQL
PingCAP
 
Presto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix ContainersPresto Summit 2018 - 04 - Netflix Containers
Presto Summit 2018 - 04 - Netflix Containers
kbajda
 
Presto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 BostonPresto talk @ Global AI conference 2018 Boston
Presto talk @ Global AI conference 2018 Boston
kbajda
 
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
Pivotal Greenplum Cloud Marketplaces - Greenplum Summit 2019
VMware Tanzu
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Iceberg
kbajda
 
Presto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - LyftPresto Summit 2018 - 07 - Lyft
Presto Summit 2018 - 07 - Lyft
kbajda
 
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
[Paper Reading] Steering Query Optimizers: A Practical Take on Big Data Workl...
PingCAP
 
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
[Paper reading] Interleaving with Coroutines: A Practical Approach for Robust...
PingCAP
 
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
Optimizing InfluxDB Performance in the Real World by Dean Sheehan, Senior Dir...
InfluxData
 
InfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxDB 2.0: Dashboarding 101 by David G. SimmonsInfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxDB 2.0: Dashboarding 101 by David G. Simmons
InfluxData
 
Challenges in Building a Data Pipeline
Challenges in Building a Data PipelineChallenges in Building a Data Pipeline
Challenges in Building a Data Pipeline
Manish Kumar
 
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Unifying Frontend and Backend Development with Scala - ScalaCon 2021
Taro L. Saito
 

Similar to Presentation at SF Kubernetes Meetup (10/30/18), Introducing TiDB/TiKV (20)

Introducing TiDB @ SF DevOps Meetup
Introducing TiDB @ SF DevOps MeetupIntroducing TiDB @ SF DevOps Meetup
Introducing TiDB @ SF DevOps Meetup
Kevin Xu
 
TiDB Introduction - Boston MySQL Meetup Group
TiDB Introduction - Boston MySQL Meetup GroupTiDB Introduction - Boston MySQL Meetup Group
TiDB Introduction - Boston MySQL Meetup Group
Morgan Tocker
 
"Smooth Operator" [Bay Area NewSQL meetup]
"Smooth Operator" [Bay Area NewSQL meetup]"Smooth Operator" [Bay Area NewSQL meetup]
"Smooth Operator" [Bay Area NewSQL meetup]
Kevin Xu
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]
Kevin Xu
 
Introducing TiDB Operator
Introducing TiDB OperatorIntroducing TiDB Operator
Introducing TiDB Operator
Kevin Xu
 
When Apache Spark Meets TiDB with Xiaoyu Ma
When Apache Spark Meets TiDB with Xiaoyu MaWhen Apache Spark Meets TiDB with Xiaoyu Ma
When Apache Spark Meets TiDB with Xiaoyu Ma
Databricks
 
TiDB + Mobike by Kevin Xu (@kevinsxu)
TiDB + Mobike by Kevin Xu (@kevinsxu)TiDB + Mobike by Kevin Xu (@kevinsxu)
TiDB + Mobike by Kevin Xu (@kevinsxu)
Kevin Xu
 
How QBerg scaled to store data longer, query it faster
How QBerg scaled to store data longer, query it fasterHow QBerg scaled to store data longer, query it faster
How QBerg scaled to store data longer, query it faster
MariaDB plc
 
Pro Tips: Building for Hyperscale
Pro Tips: Building for HyperscalePro Tips: Building for Hyperscale
Pro Tips: Building for Hyperscale
Penguin Computing
 
FOSDEM MySQL and Friends Devroom
FOSDEM MySQL and Friends DevroomFOSDEM MySQL and Friends Devroom
FOSDEM MySQL and Friends Devroom
Morgan Tocker
 
Keynote -- Percona Live Europe 2018
Keynote -- Percona Live Europe 2018Keynote -- Percona Live Europe 2018
Keynote -- Percona Live Europe 2018
Kevin Xu
 
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd ColemanHow Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
ScyllaDB
 
SQREAM DB on IBM Power9
SQREAM DB on IBM Power9SQREAM DB on IBM Power9
SQREAM DB on IBM Power9
Ganesan Narayanasamy
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success Story
Kristofferson A
 
Free GitOps Workshop + Intro to Kubernetes & GitOps
Free GitOps Workshop + Intro to Kubernetes & GitOpsFree GitOps Workshop + Intro to Kubernetes & GitOps
Free GitOps Workshop + Intro to Kubernetes & GitOps
Weaveworks
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Yohei Onishi
 
TiDB vs Aurora.pdf
TiDB vs Aurora.pdfTiDB vs Aurora.pdf
TiDB vs Aurora.pdf
ssuser3fb50b
 
Using druid for interactive count distinct queries at scale
Using druid for interactive count distinct queries at scaleUsing druid for interactive count distinct queries at scale
Using druid for interactive count distinct queries at scale
Itai Yaffe
 
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
DataStax
 
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
Amaaira Johns
 
Introducing TiDB @ SF DevOps Meetup
Introducing TiDB @ SF DevOps MeetupIntroducing TiDB @ SF DevOps Meetup
Introducing TiDB @ SF DevOps Meetup
Kevin Xu
 
TiDB Introduction - Boston MySQL Meetup Group
TiDB Introduction - Boston MySQL Meetup GroupTiDB Introduction - Boston MySQL Meetup Group
TiDB Introduction - Boston MySQL Meetup Group
Morgan Tocker
 
"Smooth Operator" [Bay Area NewSQL meetup]
"Smooth Operator" [Bay Area NewSQL meetup]"Smooth Operator" [Bay Area NewSQL meetup]
"Smooth Operator" [Bay Area NewSQL meetup]
Kevin Xu
 
Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]Introducing TiDB Operator [Cologne, Germany]
Introducing TiDB Operator [Cologne, Germany]
Kevin Xu
 
Introducing TiDB Operator
Introducing TiDB OperatorIntroducing TiDB Operator
Introducing TiDB Operator
Kevin Xu
 
When Apache Spark Meets TiDB with Xiaoyu Ma
When Apache Spark Meets TiDB with Xiaoyu MaWhen Apache Spark Meets TiDB with Xiaoyu Ma
When Apache Spark Meets TiDB with Xiaoyu Ma
Databricks
 
TiDB + Mobike by Kevin Xu (@kevinsxu)
TiDB + Mobike by Kevin Xu (@kevinsxu)TiDB + Mobike by Kevin Xu (@kevinsxu)
TiDB + Mobike by Kevin Xu (@kevinsxu)
Kevin Xu
 
How QBerg scaled to store data longer, query it faster
How QBerg scaled to store data longer, query it fasterHow QBerg scaled to store data longer, query it faster
How QBerg scaled to store data longer, query it faster
MariaDB plc
 
Pro Tips: Building for Hyperscale
Pro Tips: Building for HyperscalePro Tips: Building for Hyperscale
Pro Tips: Building for Hyperscale
Penguin Computing
 
FOSDEM MySQL and Friends Devroom
FOSDEM MySQL and Friends DevroomFOSDEM MySQL and Friends Devroom
FOSDEM MySQL and Friends Devroom
Morgan Tocker
 
Keynote -- Percona Live Europe 2018
Keynote -- Percona Live Europe 2018Keynote -- Percona Live Europe 2018
Keynote -- Percona Live Europe 2018
Kevin Xu
 
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd ColemanHow Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
How Yieldmo Cut Database Costs and Cloud Dependencies Fast by Todd Coleman
ScyllaDB
 
KSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success StoryKSCOPE 2013: Exadata Consolidation Success Story
KSCOPE 2013: Exadata Consolidation Success Story
Kristofferson A
 
Free GitOps Workshop + Intro to Kubernetes & GitOps
Free GitOps Workshop + Intro to Kubernetes & GitOpsFree GitOps Workshop + Intro to Kubernetes & GitOps
Free GitOps Workshop + Intro to Kubernetes & GitOps
Weaveworks
 
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Building a Data Pipeline using Apache Airflow (on AWS / GCP)
Yohei Onishi
 
TiDB vs Aurora.pdf
TiDB vs Aurora.pdfTiDB vs Aurora.pdf
TiDB vs Aurora.pdf
ssuser3fb50b
 
Using druid for interactive count distinct queries at scale
Using druid for interactive count distinct queries at scaleUsing druid for interactive count distinct queries at scale
Using druid for interactive count distinct queries at scale
Itai Yaffe
 
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
Webinar: Dyn + DataStax - helping companies deliver exceptional end-user expe...
DataStax
 
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
[Study Guide] Google Professional Cloud Architect (GCP-PCA) Certification
Amaaira Johns
 
Ad

Recently uploaded (20)

Exploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the FutureExploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the Future
ICS
 
Designing AI-Powered APIs on Azure: Best Practices& Considerations
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDesigning AI-Powered APIs on Azure: Best Practices& Considerations
Designing AI-Powered APIs on Azure: Best Practices& Considerations
Dinusha Kumarasiri
 
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilitySocietal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainability
Jordi Cabot
 
Expand your AI adoption with AgentExchange
Expand your AI adoption with AgentExchangeExpand your AI adoption with AgentExchange
Expand your AI adoption with AgentExchange
Fexle Services Pvt. Ltd.
 
Not So Common Memory Leaks in Java Webinar
Not So Common Memory Leaks in Java WebinarNot So Common Memory Leaks in Java Webinar
Not So Common Memory Leaks in Java Webinar
Tier1 app
 
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRYLEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
NidaFarooq10
 
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
ssuserb14185
 
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
Andre Hora
 
Download Wondershare Filmora Crack [2025] With Latest
Download Wondershare Filmora Crack [2025] With LatestDownload Wondershare Filmora Crack [2025] With Latest
Download Wondershare Filmora Crack [2025] With Latest
tahirabibi60507
 
Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025
kashifyounis067
 
F-Secure Freedome VPN 2025 Crack Plus Activation New Version
F-Secure Freedome VPN 2025 Crack Plus Activation  New VersionF-Secure Freedome VPN 2025 Crack Plus Activation  New Version
F-Secure Freedome VPN 2025 Crack Plus Activation New Version
saimabibi60507
 
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Dele Amefo
 
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
University of Hawai‘i at Mānoa
 
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage DashboardsAdobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
BradBedford3
 
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxRevolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptx
nidhisingh691197
 
PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025
mu394968
 
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest VersionAdobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Version
kashifyounis067
 
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeSolidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license code
aneelaramzan63
 
Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)
Allon Mureinik
 
EASEUS Partition Master Crack + License Code
EASEUS Partition Master Crack + License CodeEASEUS Partition Master Crack + License Code
EASEUS Partition Master Crack + License Code
aneelaramzan63
 
Exploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the FutureExploring Wayland: A Modern Display Server for the Future
Exploring Wayland: A Modern Display Server for the Future
ICS
 
Designing AI-Powered APIs on Azure: Best Practices& Considerations
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDesigning AI-Powered APIs on Azure: Best Practices& Considerations
Designing AI-Powered APIs on Azure: Best Practices& Considerations
Dinusha Kumarasiri
 
Societal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainabilitySocietal challenges of AI: biases, multilinguism and sustainability
Societal challenges of AI: biases, multilinguism and sustainability
Jordi Cabot
 
Expand your AI adoption with AgentExchange
Expand your AI adoption with AgentExchangeExpand your AI adoption with AgentExchange
Expand your AI adoption with AgentExchange
Fexle Services Pvt. Ltd.
 
Not So Common Memory Leaks in Java Webinar
Not So Common Memory Leaks in Java WebinarNot So Common Memory Leaks in Java Webinar
Not So Common Memory Leaks in Java Webinar
Tier1 app
 
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRYLEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
LEARN SEO AND INCREASE YOUR KNOWLDGE IN SOFTWARE INDUSTRY
NidaFarooq10
 
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...Explaining GitHub Actions Failures with Large Language Models Challenges, In...
Explaining GitHub Actions Failures with Large Language Models Challenges, In...
ssuserb14185
 
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...
Andre Hora
 
Download Wondershare Filmora Crack [2025] With Latest
Download Wondershare Filmora Crack [2025] With LatestDownload Wondershare Filmora Crack [2025] With Latest
Download Wondershare Filmora Crack [2025] With Latest
tahirabibi60507
 
Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025Adobe After Effects Crack FREE FRESH version 2025
Adobe After Effects Crack FREE FRESH version 2025
kashifyounis067
 
F-Secure Freedome VPN 2025 Crack Plus Activation New Version
F-Secure Freedome VPN 2025 Crack Plus Activation  New VersionF-Secure Freedome VPN 2025 Crack Plus Activation  New Version
F-Secure Freedome VPN 2025 Crack Plus Activation New Version
saimabibi60507
 
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.
Dele Amefo
 
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...Exploring Code Comprehension  in Scientific Programming:  Preliminary Insight...
Exploring Code Comprehension in Scientific Programming: Preliminary Insight...
University of Hawai‘i at Mānoa
 
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage DashboardsAdobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
Adobe Marketo Engage Champion Deep Dive - SFDC CRM Synch V2 & Usage Dashboards
BradBedford3
 
Revolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptxRevolutionizing Residential Wi-Fi PPT.pptx
Revolutionizing Residential Wi-Fi PPT.pptx
nidhisingh691197
 
PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025PDF Reader Pro Crack Latest Version FREE Download 2025
PDF Reader Pro Crack Latest Version FREE Download 2025
mu394968
 
Adobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest VersionAdobe Illustrator Crack FREE Download 2025 Latest Version
Adobe Illustrator Crack FREE Download 2025 Latest Version
kashifyounis067
 
Solidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license codeSolidworks Crack 2025 latest new + license code
Solidworks Crack 2025 latest new + license code
aneelaramzan63
 
Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)Who Watches the Watchmen (SciFiDevCon 2025)
Who Watches the Watchmen (SciFiDevCon 2025)
Allon Mureinik
 
EASEUS Partition Master Crack + License Code
EASEUS Partition Master Crack + License CodeEASEUS Partition Master Crack + License Code
EASEUS Partition Master Crack + License Code
aneelaramzan63
 
Ad

Presentation at SF Kubernetes Meetup (10/30/18), Introducing TiDB/TiKV