Lessons learned from SearchD development

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tkramar

Replication, distributed processing, not killing Elasticsearch with 400M+ docs & a stupid frontend trick.

Software

Lessons learned from
SearchD development
Tomáš Kramár

#1. Replication is awesome
production
staging
localhost
localhost
API
Redis
PUB/SUB

#1. Replication is awesome
● Production data on staging!
● Production data on localhost! (on demand)
● Testing new code is easy

#2. Asynchronous processing
API Queue
Job
Job

#2. Q
● fatal errors are recoverable & pause
processing
● we are not losing data
● data migrations
● parallel
● in batches
● distributed

#3. Dynamic partitioning in ElasticSearch
● Week-based indices
● Elasticsearch templates for mapping
management
● Query only relevant indices

#4. Asynchronous UI FTW
1. Site is slow
2. Load everything asynchronously
3. Site is fast! (it seems)

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Lessons learned from SearchD development

1. Lessons learned from SearchD development Tomáš Kramár

2. #1. Replication is awesome production staging localhost localhost API Redis PUB/SUB

3. #1. Replication is awesome ● Production data on staging! ● Production data on localhost! (on demand) ● Testing new code is easy

4. #2. Asynchronous processing API Queue Job Job

5. #2. Asynchronous processing

6. #2. Asynchronous processing

7. #2. Q ● fatal errors are recoverable & pause processing ● we are not losing data ● data migrations ● parallel ● in batches ● distributed

8. #3. Dynamic partitioning in ElasticSearch ● Week-based indices ● Elasticsearch templates for mapping management ● Query only relevant indices

9. #4. Asynchronous UI FTW 1. Site is slow 2. Load everything asynchronously 3. Site is fast! (it seems)