apache hive - Hbase Apache Hive- hive tutorial - hadoop hive - hadoop hive - hiveql




apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As ETL Data Target - Hive to Hbase :

learn hive - hive tutorial - apache hive - data from hive to hbase -  hive examples

learn hive - hive tutorial - apache hive - data from hive to hbase - hive examples

HBase As Data Source - Hbase to Hive :

learn hive - hive tutorial - apache hive - data from hbase to hive -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hive examples

HBase As Data Source - Hbase to Hive - Datawarehouse :

learn hive - hive tutorial - apache hive - data from hbase to hive - datawarehouse -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - datawarehouse - hive examples

apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As Data Source - Hbase to Hive - Hbase architecture :

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase architecture -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase architecture - hive examples

apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As Data Source - Hbase to Hive - Hive architecture :

learn hive - hive tutorial - apache hive - data from hbase to hive - hive architecture -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hive architecture - hive examples

apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As Data Source - Hbase to Hive - Hbase and Hive architecture :

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase and hive architecture -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase and hive architecture - hive examples

apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As Data Source - Hbase to Hive - Hbase map reduce job for insert :

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase map reduce job for insert -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase map reduce job for insert - hive examples

apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

HBase As Data Source - Hbase to Hive - Map-Only Job for INSERT :

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase map only job for insert -  hive examples

learn hive - hive tutorial - apache hive - data from hbase to hive - hbase map only job for insert - hive examples

HBase As Data Source - Hbase to Hive - Query processing in Hbase :

Example Query : SELECT name, notes FROM users WHERE userid=‘xyz’;
  • Rows are read from HBase via
  • org.apache.hadoop.hbase.mapred.TableInputFormatBase
  • HBase determines the splits (one per table region)
  • HBaseSerDe produces lazy rows/maps for RowResults
  • Column selection is pushed down
  • Any SQL can be used (join, aggregation, union…)
  • apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    HBase As Data Source - Hbase to Hive - Meta Store Integration in Hbase :

  • DDL can be used to create metadata in Hive and HBase simultaneously and consistently
  • CREATE EXTERNAL TABLE: register existing Hbase table
  • DROP TABLE: will drop HBase table too unless it was created as EXTERNAL
  • apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    HBase As Data Source - Hbase to Hive - Bulk Load in Hbase :

    Example Query : SET hive.hbase.bulk=true;
                     INSERT OVERWRITE TABLE users SELECT … ;
    • But for now, you have to do some work and issue multiple Hive commands
      • Sample source data for range partitioning
      • Save sampling results to a file
      • Run CLUSTER BY query using HiveHFileOutputFormat and TotalOrderPartitioner (sorts data, producing a large number of region files)
      • Import HFiles into HBase
      • HBase can merge files if necessary
    apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    HBase As Data Source - Hbase to Hive - Hbase Hive range partitioning during load :

    learn hive - hive tutorial - apache hive - data from hbase to hive - hbase hive range partitioning during load -  hive examples

    learn hive - hive tutorial - apache hive - data from hbase to hive - hbase hive range partitioning during load - hive examples

    apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    HBase As Data Source - Hbase to Hive - Sampling Query For Range Partitioning :

  • Given 5 million users in a table bucketed into 1000 buckets of 5000 users each, pick 9 user_ids which partition the set of all user_ids into 10 nearly-equal-sized ranges.
  •     select user_id from
              (select user_id
              from hive_user_table
              tablesample(bucket 1 out of 1000 on user_id) s
              order by user_id) sorted_user_5k_sample
              where (row_sequence() % 501)=0;
  • apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    HBase As Data Source - Hbase to Hive - Sorting Query For Bulk Load :

    •           set mapred.reduce.tasks=12;
                set hive.mapred.partitioner=
                org.apache.hadoop.mapred.lib.TotalOrderPartitioner;
                set total.order.partitioner.path=/tmp/hb_range_key_list;
                set hfile.compression=gz;
                create table hbsort(user_id string, user_type string, ...)
                stored as inputformat 'org.apache.hadoop.mapred.TextInputFormat’
                outputformat 'org.apache.hadoop.hive.hbase.HiveHFileOutputFormat’ tblproperties ('hfile.family.path' = '/tmp/hbsort/cf');
                insert overwrite table hbsort
                select user_id, user_type, createtime, …
      from hive_user_table
                cluster by user_id;
    apache hive related article tags - hive tutorial - hadoop hive - hadoop hive - hiveql - hive hadoop - learnhive - hive sql

    What is HBQL :

  • HBQL focuses on providing a convenient language layer for managing and accessing individual HBase tables, and is not intended for heavy-duty SQL processing such as joins and aggregations
  • HBQL is implemented via client-side calls, whereas Hive/HBase integration is implemented via map/reduce jobs

  • Wikitechy Apache Hive tutorials provides you the base of all the following topics . Enjoy learning on big data , hadoop , data analytics , big data analytics , mapreduce , hadoop tutorial , what is hadoop , big data hadoop , apache hadoop , apache hive , hadoop wiki , hadoop jobs , hadoop training , hive tutorial , hadoop big data , hadoop architecture , hadoop certification , hadoop ecosystem , hadoop fs , apache pig , hadoop cluster , cloudera hadoop , hadoop download , hadoop mapreduce , hadoop workflow , hive data types , hadoop hive , pig hadoop , hadoop administration , hadoop installation , hive hadoop , learn hadoop , hadoop for dummies , hadoop commands , hive definition , hiveql , learnhive , hive sql , hive database , hive date functions , hive query , apache hive tutorial , hive apache , hive wiki , what is a hive , hive big data , programming hive , what is hive in hadoop , hive documentation , how does hive work

    Related Searches to Hive vs Mapreduce

    Adblocker detected! Please consider reading this notice.

    We've detected that you are using AdBlock Plus or some other adblocking software which is preventing the page from fully loading.

    We don't have any banner, Flash, animation, obnoxious sound, or popup ad. We do not implement these annoying types of ads!

    We need money to operate the site, and almost all of it comes from our online advertising.

    Please add wikitechy.com to your ad blocking whitelist or disable your adblocking software.

    ×