Common Problems with Cassandra Tombstones - OpenCredo
September 27, 2016 | Cassandra, Data Engineering Common Problems with Cassandra Tombstones If there is one thing to understand about Cassandra, it is the fact that it is optimised for writes. In Cassandra everything is a write including logical deletion of data which results in tombstones – special deletion records. We have noticed that lack of understanding of tombstones is often the root cause o
A glimpse of cassandra 4.0 features netflix
These slides are from the recent meetup @ Uber - Apache Cassandra at Uber and Netflix on new features in 4.0. Abstract: A glimpse of Cassandra 4.0 features: There are a lot of exciting features coming in 4.0, but this talk covers some of the features that we at Netflix are particularly excited about and looking forward to. In this talk, we present an overview of just some of the many improvements
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
Cassandra 3.0 Materialized Views Technical Deep Dive – DOAN DuyHai's blog
In this blog post, we’ll dig into the brand new materialized view feature of Cassandra 3.0. We’ll see how it is implemented internally, how you should use it to get the most of its performance and which caveats to avoid. For the remaining of this post Cassandra == Apache Cassandra™ Why materialized views ? Being an evangelist for Apache Cassandra for more than a year, I’ve spent my time talking ab
[CASSANDRA-12403] Slow query detecting - ASF JIRA
Hello, In cassandra production environment, users sometimes build anti-pattern tables and throw queries in inefficient manners. So I would like to suggest a feature that enables to log slow query. The feature can help cassandra operators to identify bad query patterns. Then operators can give advices about queries and data model to users who don't know cassandra so much. This ticket is related to
アップル、英アナリティクス企業Acunuを買収していた--米報道
印刷する メールで送る テキスト HTML 電子書籍 PDF ダウンロード テキスト 電子書籍 PDF クリップした記事をMyページから読むことができます AppleがNoSQLデータベースベンダーのFoundationDBを買収したというニュースが米国時間3月25日に報じられた。FoundationDBは、分散ハードウェア環境に適した高性能トランザクションデータベースを提供する企業。 しかしBloombergの報道によると、AppleはAcunuを買収したことも認めたという。英国に拠点を置くAcunuは、NoSQLデータベース「Apache Cassandra」上のアナリティクス技術を手がける新興企業だ。 Bloombergの記事には、Acunuの最高技術責任者（CTO）Tim Moreton氏が2013年12月にAppleのiCloud部門に加わった旨が、本人のLinkedInプロフィ
Paper: Scalable Eventually Consistent Counters over Unreliable Networks - High Scalability -
Counting at scale in a distributed environment is surprisingly hard. And it's a subject we've covered before in various ways: Big Data Counting: How to count a billion distinct objects using only 1.5KB of Memory, How to update video views count effectively?, Numbers Everyone Should Know (sharded counters). Kellabyte (which is an excellent blog) in Scalable Eventually Consistent Counters talks abou
Migrating from MongoDB to Cassandra | FullContact
The Story Long long ago (2011) in a Littleton founder’s basement not so far away, the decision was made to use MongoDB as the persistence engine for our Person API product. The idea of the Person API is pretty simple: Given some input piece of data {email, phone, Twitter}, find other data related to that query and produce a merged document of that data. This is essentially a curated, recursive fed
これがCassandra
3. システム構成 • Node数：97台 • サーバスペック 機器：Dell R410、R420 メモリ：64GB CPU:16コア、24コア HDD：600GBx4 (RAID-10) 600GBx2(RAID-1)+SSD 512GB(RAID-0) • クラスタ数：1 • Cassandraのバージョン：1.1.5-2(独自バージョン) • KeySpace数：8 • ColumnFamily数：156 4. 運用状況とか Cluseter Writes Request: 32000/sec Cluseter Reads Request : 58000/sec 1 nodeあたりのデータロードサイズ 約200～230GB
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CEP-7: Storage Attached Index - CASSANDRA - Apache Software Foundation
Apache Cassandra | Apache Cassandra Documentation
Apache cassandra v4.0
Incremental Repair Improvements in Cassandra 4
Fat clients: Are they useful ?
[CASSANDRA-13810] Overload because of hint pressure + MVs - ASF JIRA
[CASSANDRA-6246] EPaxos - ASF JIRA
Cassandra Summit 2016 – Featured Sessions and Slides | DataStax
Cassandra at Instagram 2016 (Dikang Gu, Facebook) | Cassandra Summit 2016
Monitoring | Apache Cassandra Documentation
http://arxiv.org/pdf/1307.3207v1.pdf