Presto SQL at Wayfair meetup presentation

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Presto SQL at Wayfair meetup in Boston https://www.meetup.com/DataCouncil-AI-Boston-Data-Engineering-Science/events/262818999/ Abstract: Presto has become the essential tool for Data Scientists and Analysts at Wayfair. Presto is relatively new at Wayfair. It was implemented about a year ago and has been actively used in the past 6 months. Attend this session to understand why Wayfair decided to implement presto, how we architected our cluster, configuration choices we made, some common issues we faced and where we are heading towards next. By breaking down our problems and approach with Presto, it will help describe some of the challenges we face, and provide color to the decisions we’ve made. Speaker Bio: Krishna Ravishankar is a DevOps Engineer working on the BigData and Messaging Platforms at Wayfair. He joined the team about 2 years ago with a little knowledge of how distributed systems work, now Krishna is one of the leads for some of the platforms (Presto, Kafka) the team own. Krishna was invloved in bringing Presto into Wayfair, he designed and implemented a production presto cluster which is now used by hundereds of users running ad-hoc queries. He’s currently now involved in building a new read/write cluster using Starburst distro.

Data & Analytics

2
• Problem Statement
• Why use Presto ?
• Presto at Wayfair
• Presto Clients
• Presto adoption
• Moving towards
• Monitoring
• Q/A
Agenda

4
1. Optimize Hive queries
1. Setting up queues to prioritize batch jobs
1. Throttle users to 2 ad-hoc queries
1. Move jobs from Hive to Spark
1. Conduct SME training session for both Hive and
Spark
Remedies

5
Why Presto ?
● It’s VERY fast!
● It saves hadoop resources: by using presto, you enable more development work to
be done as other teams test their pyspark pipelines on the cluster
● Unlike spark which requires more expertise and set up, presto is quick to set up.
● You can combine data sources in different places (SQL and hive data in one place)

7
Presto ad-hoc (Read
Only Cluster)
301 VM’s (8*64)
with 1
Coordinator, 300
Workers
Total available
Memory 20TB
Total CPU
available 2800
vcores
Presto CLI
Presto at Wayfair

8 Adoption - before
140K Queries
80K Queries
40%

10 Query Throttling
● SELECT only
● 2 queries per user
● 2 queued queries
per user
● Increased the time
limit from 5 to 10
mins
avg
execution
time - 51 sec

12 OSS Presto Vs Starburst
Starburst
Presto
open
source
Note:
1. CBO turned
manually on
OSS presto
2. Starburst has
CBO turned on
by default
3. CBO improved
query
performance by
3-10X

14
1. Migrating jobs
1. Upgrading our existing presto cluster to use Starburst distribution
1. BigQuery Vs Presto
What’s Next?

15
THANK YOU
Questions?
Krishna Ravishankar
DevOps Engineer
kravishankar@wayfair.com
https://www.linkedin.com/in/ravishankarkrishnakumar/

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原版定制【微信:153539019】《澳洲拉筹伯大学毕业证（LaTrobe毕业证书）》【微信:153539019】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信153539019】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信153539019】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。

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Presto SQL at Wayfair meetup presentation

1. Presto at Wayfair Krishna Ravishankar

2. 2 • Problem Statement • Why use Presto ? • Presto at Wayfair • Presto Clients • Presto adoption • Moving towards • Monitoring • Q/A Agenda

3. 3 Problem Statement

4. 4 1. Optimize Hive queries 1. Setting up queues to prioritize batch jobs 1. Throttle users to 2 ad-hoc queries 1. Move jobs from Hive to Spark 1. Conduct SME training session for both Hive and Spark Remedies

5. 5 Why Presto ? ● It’s VERY fast! ● It saves hadoop resources: by using presto, you enable more development work to be done as other teams test their pyspark pipelines on the cluster ● Unlike spark which requires more expertise and set up, presto is quick to set up. ● You can combine data sources in different places (SQL and hive data in one place)

6. 6 Presto at Wayfair

7. 7 Presto ad-hoc (Read Only Cluster) 301 VM’s (8*64) with 1 Coordinator, 300 Workers Total available Memory 20TB Total CPU available 2800 vcores Presto CLI Presto at Wayfair

8. 8 Adoption - before 140K Queries 80K Queries 40%

9. 9 Adoption - after

10. 10 Query Throttling ● SELECT only ● 2 queries per user ● 2 queued queries per user ● Increased the time limit from 5 to 10 mins avg execution time - 51 sec

11. 11 Moving towards Starburst

12. 12 OSS Presto Vs Starburst Starburst Presto open source Note: 1. CBO turned manually on OSS presto 2. Starburst has CBO turned on by default 3. CBO improved query performance by 3-10X

13. 13 Monitoring Presto

14. 14 1. Migrating jobs 1. Upgrading our existing presto cluster to use Starburst distribution 1. BigQuery Vs Presto What’s Next?

15. 15 THANK YOU Questions? Krishna Ravishankar DevOps Engineer kravishankar@wayfair.com https://www.linkedin.com/in/ravishankarkrishnakumar/

Presto SQL at Wayfair meetup presentation

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