Open-sourcing a 10x reduction in Apache Cassandra tail latency
At Instagram, we have one of the world’s largest deployments of the Apache Cassandra database. We began using Cassandra in 2012 to replace Redis and support product use cases like fraud detection, Feed, and the Direct inbox. At first we ran Cassandra clusters in an AWS environment, but migrated them over to Facebook’s infrastructure when the rest of Instagram moved. We’ve had a really good experie
ScyllaDB for General Audience
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strangeloop 2012 apache cassandra anti patterns
random list of Apache Cassndra Anti Patterns. There is a lot of info on what to use Cassandra for and how, but not a lot of information on what not to do. This presentation works towards filling that gap.Read less
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Cassandra ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ - Qiita
Cassandra ã® Column Family ã¯ã€å…¨ä½“ã¨ã—ã¦ã¯ä»¥ä¸‹ã®ã‚ˆã†ãª2次元ã®Mapã®ã‚ˆã†ãªæ§‹é€ ã‚’ã—ã¦ã„ã¾ã™ã€‚ 上記㮠RowKey 㯠CQL ã§ã¯ Partition Keyã¨å‘¼ã°ã‚Œã¦ã„ã¦ã€ã“ã® Partition Key å˜ä½ã§ãƒŽãƒ¼ãƒ‰ã«ãƒ‡ãƒ¼ã‚¿ãŒé…ç½®ã•ã‚Œã¾ã™ã€‚ ã¾ãŸã€CQLã§ã¯ä¸»ã‚ーã‹ã¤Partition Keyã§ãªã„ ColumnKey ã‚’Clustering Columnã¨å‘¼ã‚“ã§ã„ã¾ã™ (åå‰ã®é€šã‚Šã€ã‚ã‚‹Partitionä¸ã§ã“ã®ã‚ーã§KVã®å¡Šã‚’ã¤ãã‚‹ã‹ã‚‰)。 å˜ä¸€ãƒ‘ーティションã«read/write ãŒå¤§é‡ã«ç™ºç”Ÿã™ã‚‹ã¨ã€ç‰¹å®šã®ãƒŽãƒ¼ãƒ‰ã®è² è·ãŒä¸ŠãŒã‚‹ã“ã¨ã«ãªã‚Šã¾ã™ã€‚ è² è·åˆ†æ•£ã‚’考慮ã—ã¦Partition Keyを決ã‚ã‚‹å¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚ refs: http://ameblo.jp/principia-ca/entry-11886808914.html CQL ã§ä½œã£ãŸãƒ‡ãƒ¼ã‚¿
DataStax: A deep look at the CQL WHERE clause
The WHERE clause restrictions depend on the type of statement, type of column, and whether a secondary index is used. For SELECT statements on partition keys, either all keys must be restricted or none. Clustering columns cannot be restricted if preceding ones are not. Secondary indexes allow restricting columns not in the primary key.Read less
Monitor Cassandra Performance Metrics
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Cassandra Performance Tuning and Monitoring | Jonathan Hui
Performance Tuning for Cassandra Write Operations Optimize Cassandra for Write Operations Cassandra write path is very simple and require little tunning The biggest performance gain for write is to put commit log in a separate disk drive commit log uses sequential write and most hard drive will meet the throughput requirement However, if SSTables share the same drive with commit log I/O contention
Cassandra Summit 2014: Performance Tuning Cassandra in AWS
Presenters: Michael Nelson, Development Manager at FamilySearch A recent research project at FamilySearch.org pushed Cassandra to very high scale and performance limits in AWS using a real application. Come see how we achieved 250K reads/sec with latencies under 5 milliseconds on a 400-core cluster holding 6 TB of data while maintaining transactional consistency for users. We'll cover tuning of Ca
Tuning the row cache in Cassandra 2.1 | Datastax
Cassandra works optimally when the data you need to access is already in memory. Disks are comparatively slow, so when data needs to be read from disk, it works best when it is performed as a single sequential operation. In order to design an effective data model in Cassandra, it's good to keep these best practices in mind: Use clustering columns in your tables so that your rows are ordered on dis
Dealing with JVM limitations in Apache Cassandra (Fosdem 2012)
The document discusses dealing with JVM limitations in Apache Cassandra. It identifies key pain points like garbage collection and platform-specific code. It then explores specific issues like fragmentation and offers solutions like arena allocation for memtables. The document also advocates for allowing more low-level access in Java to directly address issues like file mapping limitations, in ord
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Aerospike Documentation | Cassandra Benchmarks
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