ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close
Monday, 6 February 2012
‹ Back

LevelDB: SSTable and Log Structured Storage

About:
,
,
,
,

Ilya Grigorik digs into LevelDB’s SSTable and log structured storage1:

If Protocol Buffers is the lingua franca of individual data record at Google, then the Sorted String Table (SSTable) is one of the most popular outputs for storing, processing, and exchanging datasets. As the name itself implies, an SSTable is a simple abstraction to efficiently store large numbers of key-value pairs while optimizing for high throughput, sequential read/write workloads.

Even if not very talked about, LevelDB is making notable contributions to the NoSQL space: the leveled compaction strategy in Cassandra 1.0 is based on LevelDB and Riak ships with LevelDB since 1.0.

  1. Make sure you are not missing Writes Performance: B+Tree, LSM Tree, Fractal Tree ↩

Original title and link: LevelDB: SSTable and Log Structured Storage (NoSQL database©myNoSQL)

via: http://www.igvita.com/2012/02/06/sstable-and-log-structured-storage-leveldb/