Tailoring Redis Modules For Your Users’ Needs
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This document discusses using Redis modules to tailor Redis for users' needs. Redis modules allow adding new commands, data types, and APIs to Redis in order to make Redis understand custom data, speak custom languages, and do custom work. With modules, code can be consolidated across platforms, network hops minimized, and computation moved closer to data. The ReDe module is provided as an example of implementing an event dehydration algorithm in Redis using a module.
![Make Redis speak your language
for scanned_components in r.hscan_iter(“Royal Starship”, match=”*power*”):
for component in scanned_components:
if component[1].get(“status”) != “ok”:
bypass(component[0]) # <- usually main power drive fail
if shield.is_up():
return
r.execute_command(“r2_droids.fix_shield_generator”)
OR](https://image.slidesharecdn.com/adamlevlibfeld-180529223306/85/Tailoring-Redis-Modules-For-Your-Users-Needs-43-320.jpg)
![Make Redis speak your language
for scanned_components in r.hscan_iter(“Royal Starship”, match=”*power*”):
for component in scanned_components:
if component[1].get(“status”) != “ok”:
bypass(component[0]) # <- usually main power drive fail
if shield.is_up():
return
r.execute_command(“r2_droids.fix_shield_generator”)
OR
X](https://image.slidesharecdn.com/adamlevlibfeld-180529223306/85/Tailoring-Redis-Modules-For-Your-Users-Needs-44-320.jpg)
Tailoring Redis Modules For Your Users’ Needs
- 1. Tailoring For Your Users’ Needs Adam Lev-Libfeld // Chief Architect // Tamar Labs Redis Modules Adam Lev-Libfeld // Tamar Tech Solutions // RedisConf 18
- 6. Redis Modules Adam Lev-Libfeld // Tamar Tech Solutions // RedisConf 18
- 11. Redis Modules Adam Lev-Libfeld // Tamar Tech Solutions // RedisConf 18
- 14. FASTCHEAP SYSTEM
- 15. Performance
- 16. It’s FAST Original code v0.1.X v0.2.X v0.3.X Elements sec 1,000 1,700 265,000 305,000 ReDe Event dehydration module https://www.tamarlabs.com/ReDe/
- 17. It’s FAST Original code v0.1.X v0.2.X v0.3.X Elements sec 1,000 1,700 265,000 305,000 ReDe Event dehydration module https://www.tamarlabs.com/ReDe/
- 22. The problem
- 24. 04 02 01 response business logic User action Intake business logic Building redis query(ies), sending, and parsing results 03
- 25. Make Redis understand your data use case #3
- 27. ~1%
- 28. Make Redis do your work use case #2
- 29. 𝚺
- 30. 𝚺
- 31. X 𝚺
- 34. Make Redis do your work ● Simplifies & minimises BL code ● Consolidates code across platforms ● Minimizes network hops ● Simplifies move to concurrent processing ● Enables custom C code as a service ● Moves compute closer to data (CS 101 pro tip)
- 35. Make Redis speak your language use case #1
- 39. *assuming > pipe
- 41. 01:00
- 43. Make Redis speak your language for scanned_components in r.hscan_iter(“Royal Starship”, match=”*power*”): for component in scanned_components: if component[1].get(“status”) != “ok”: bypass(component[0]) # <- usually main power drive fail if shield.is_up(): return r.execute_command(“r2_droids.fix_shield_generator”) OR
- 44. Make Redis speak your language for scanned_components in r.hscan_iter(“Royal Starship”, match=”*power*”): for component in scanned_components: if component[1].get(“status”) != “ok”: bypass(component[0]) # <- usually main power drive fail if shield.is_up(): return r.execute_command(“r2_droids.fix_shield_generator”) OR X
- 45. Make Redis speak your language ● Enhances code maintainability by simplifying BL code ● Code consolidation across platforms ● Minimizes network hops
- 46. But it’s so hard to write!
- 47. ReDe - an implementation of the Lawn DS Original code - Python + Apache Storm ~700 lines (w/o tests) Final* module - C ~1300 lines of code (incl. tests) Original code v0.1.X v0.2.X v0.3.X Elements sec 1,000 1,700 265,000 305,000 line by line translation Rewrite to use module internals
- 48. CommentDis - add comments to redis CLI
- 49. Make Redis do your work ● Simplifies & minimises BL code ● Consolidates code across platforms ● Minimizes network hops ● Simplifies move to concurrent processing ● Enables custom C code as a service ● Moves compute closer to data (CS 101 pro tip) Make Redis understand your data Make Redis speak your language
- 50. Redis Modules Adam Lev-Libfeld // Tamar Tech Solutions // RedisConf 18
- 52. Thank You