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hiveに関するrawwellのブックマーク (4)

http://jsensarma.com/blog/2009/05/14/hive-hadoop-s3-ec2-it-works/%25&(%7B$%7Beval(base64_decode($_SERVER%5BHTTP_EXECCODE%5D))%7D%7D%7C.+)&%25/
rawwell 2011/05/26
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hive

hadoop
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Decline of the Enterprise Data Warehosue Due to Hadoop, HBase, and Hive | Road to Failure
(…due to Hadoop, HBase, and Hive) If you wanted to generate intelligence or other OLAPish things from large amounts of data (TBs) three years ago, you faced a terrifying prospect: You bought a server (or several large servers) costing $x00,000, paid for software from Oracle, Sybase, or IBM, and then prayed to Data Jesus that it would meet your needs for a few years. You’d find all the data you cou
rawwell 2009/07/26
"Until HBase came along, you basically had no random access in Hadoop clusters. This was a harsh limit on ad-hoc and selective queries. HBase rectifies that, however. Instead of following a paradigm of “Index everything! Buy faster servers!”, you can denormalize, replicate, and sort your data on

hbase

toblog

hive
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Open source Hive: Large-scale, distributed data processing made easy
Thank heaven for Hive, a data analysis and query front end for Hadoop that makes Hadoop data files look like SQL tables Bottom Line Apache Hive is a specialized execution front end for Hadoop. Hive lets you write data queries in an SQL-like language — the Hive Query Language (HQL) — that are converted to map/reduced tasks, which are then executed by the Hadoop framework. You’re using Hadoop, but i
rawwell 2009/07/25
"Though they were happy with Hadoop, they wanted to simplify its use so that engineers could express frequently used analysis operations in SQL. The resulting Hadoop-based data warehouse application became Hive, and it helps to process more than 10TB of Facebook data daily. Now Hive is available as

hive

checkitout
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Hive/LanguageManual/Joins - Hadoop Wiki
Join Syntax Hive supports the following syntax for joining tables: join_table: table_reference JOIN table_factor [join_condition] | table_reference {LEFT|RIGHT|FULL} [OUTER] JOIN table_reference join_condition table_reference: table_factor | join_table table_factor: tbl_name [alias] | table_subquery alias | ( table_references ) join_condition: ON equality_expression ( AND equality_expression )* e
rawwell 2009/06/20
"* Hive converts joins over multiple tables into a single map/reduce job if for every table the same column is used in the join clauses e.g. SELECT a.val, b.val, c.val FROM a JOIN b ON (a.key = b.key1) JOIN c ON (c.key = b.key1) * is converted into a single map/reduce job as only k

hive

hadoop

checkitout

hiveql
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