Introduction to using BlinkDB - Presented by : Sameer Agarwal - UC Berkeley AmpLab 2013
AMP Camp Three -- Analytics and Machine Learning at Scale was held in Berkeley California and live streamed online, August 29-30, 2013. AMP Camp 3 attendees and online viewers learned to solve big data problems using components of the Berkeley Data Analytics Stack (BDAS) including Spark, Shark, Mesos, Tachyon, MLbase as well as Hadoop. The event was held in the Chevron Auditorium in the Internati
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What are the main differences between Facebook, Presto, and Amplab Shark?
Answer (1 of 2): 1. Primary Use Case: While both are intended for analytics, Shark's primary use case is providing SQL to an (extremely fast) in-memory database, with support also for on-disk (or abstract) data sources. Presto is designed to be a fast SQL engine for the latter, and does not have ...
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Specification by Example
The document discusses specification by example (SBE) as an approach to software development. It outlines key aspects of SBE including deriving scope from business goals, specifying collaboratively through examples, refining specifications, automating examples, and validating frequently through living documentation. An example is provided showing how SBE can be implemented using Cucumber features,
GitHub - antirez/redis-sampler: Small program to understand the composition of your Redis data set
Redis Sampler README ==================== Redis sampler is an utility to check the composition of your Redis dataset. Using it is as simple as typing: ./redis-sampler.rb <host> <port> <db> <samplesize> The host and port arguments are the ones of your Redis instance. The DB is the database to test. By default Redis uses database 0 unless you are writing against a different DB. The sample size is th
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Apiary - r7kamura per second
API(ã¨ãã‚Œã«æºã‚る開発者)ã®è¦æ¨¡ãŒæ‹¡å¤§ã—ã¦ãã‚‹ã¨ã€ãƒ‰ã‚ュメントã®æ•´å‚™ã‚„ã€ä»•æ§˜ã¨å®Ÿè£…ã®ä¸€è²«æ€§ã®ç¶æŒã€ クライアントã¨ã®çŸ¥è˜ã®å…±æœ‰ãªã©ã€è€ƒæ…®ã™ã¹ãå•é¡ŒãŒæ²¢å±±å‡ºã¦ãる。 ã“れらã®å•é¡Œã«å¯¾ã™ã‚‹ç¾å®Ÿçš„ãªè§£æ±ºç–を探るãŸã‚〠Apiaryã¨ã„ã†API開発支æ´ç”¨ã®ã‚µãƒ¼ãƒ“スを簡å˜ã«ä¿¯çž°ã™ã‚‹ã“ã¨ã«ã—ãŸã€‚ ã“ã“ã§ã¯ç´¹ä»‹ã—ãªã„ãŒã€ä»–ã« RAML〠JSON Schema〠Swagger〠WADL〠Autodoc ãªã©ãŒé–¢é€£ã™ã‚‹ã‚‚ã®ã¨ã—ã¦æŒ™ã’られる。 Apiary http://apiary.io/ Apiaryã¯ã€API Blueprintã¨å‘¼ã°ã‚Œã‚‹è¨€èªžã§APIã®ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ãƒ¼ã‚¹ä»•æ§˜æ›¸ã‚’記述ã™ã‚‹ã€ã¨ã„ã†é–‹ç™ºæ–¹æ³•ã‚’æå”±ã—ã¦ã„る。 API Blueprintã¯Markdownã‚’æ‹¡å¼µã—ãŸè¨€èªžã§ã€ç‰¹æ®Šãªè¨˜è¿°ã‚’用ã„ã¦å¹¾ã¤ã‹ã®ãƒ¡ã‚¿æƒ…å ±ã‚’ä»˜ä¸Žå‡ºæ¥ã‚‹å½¢ã«ãªã£ã¦ã„る。 Markdownを採用ã™ã‚‹ã“ã¨ã§äººé–“ã«ã¨ã£ã¦èªã¿æ›¸ã
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networking:pktgen [Wiki]
# cat /proc/net/pktgen/kpktgend_0 Name: kpktgend_0 max_before_softirq: 10000 Running: Stopped: eth1 Result: OK: max_before_softirq=10000 Most important the devices assigned to thread. Note! A device can only belong to one thread. Param section holds configured info. Current hold running stats. Result is printed after run or after interruption. Example: # cat /proc/net/pktgen/eth1 Params: count 100
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