quartz/content/BigData/Hadoop/Apache Hive.md

aliases
Hive

Hadoop Eccosystem

Apache Hive

Key Features

• Developed by Apache.
• General SQL-like syntax for querying HDFS or other large databases
• Translates SQL queries into one or more MapReduce jobs.
• Maps data in HDFS into virtual RDBMS-like tables.
• Pro:
  • Convenient for data analytics uses SQL.

• Con:
  • Quite slow in response time

Hive Data Model

Structure

• Physical: Data stored in HDFS blocks across nodes.
• Virtual Table: Defined with schema using metadata.
• Partitions: Logical splits of data to speed up queries.

Metadata

• Hive stores metadatain DB
• Map physical files to tables.
• Map fields (columns) to line structures in raw data.

!

Hive Architecture !

Hive Usage

{% raw %}

#Start a hive shell:
$hive

#create hive table:
hive> CREATE TABLE mta (id BIGINT, name STRING, startdate TIMESTAMP, email STRING)

#Show all tables:
hive> SHOW TABLES;

#Add a new column to the table:
hive> ALTER TABLE mta ADD COLUMNS (description STRING);

#Load HDFS data file into the table:
hive> LOAD DATA INPATH '/home/hadoop/mta_users' OVERWRITE INTO TABLE mta;

#Query employees that work more than a year:
hive> SELECT name FROM mta WHERE (unix_timestamp() - startdate > 365 * 24 * 60 * 60);

#Execute command without shell
$hive -e 'SELECT name FROM mta;'

#Execute script from file
$hive -f hive_script.txt

{% endraw %}