By Dayong Du
Immerse your self on a lovely trip to find the attributes of huge facts through the use of Hive
About This Book
- Discover how Hive can coexist and paintings with different instruments within the Hadoop atmosphere to create enormous info solutions
- Grasp the talents wanted, examine the simplest practices, and stay away from the pitfalls in writing effective Hive queries to research the large data
- Create an atmosphere to research gigantic info utilizing useful, example-oriented scenarios
Who This e-book Is For
If you're a info analyst, developer, or just somebody who desires to use Hive to discover and learn info in Hadoop, this is often the e-book for you. no matter if you're new to important facts or a professional, with this publication, it is possible for you to to grasp either the fundamental and the complicated beneficial properties of Hive. in view that Hive is an SQL-like language, a few past adventure with the SQL language and databases comes in handy to have a greater figuring out of this book.
What you are going to Learn
- Create and organize the Hive environment
- Discover find out how to use Hive's definition language to explain data
- Discover fascinating info by means of becoming a member of and filtering datasets in Hive
- Transform information through the use of Hive sorting, ordering, and functions
- Aggregate and pattern facts in several ways
- Boost Hive question functionality and improve information safeguard in Hive
- Customize Hive for your wishes through the use of user-defined features and combine it with different tools
In this e-book, we arrange you on your trip into sizeable information through to start with introducing you to backgrounds within the huge info area in addition to the method of establishing and getting acquainted with your Hive operating surroundings. subsequent, the ebook courses you thru researching and reworking the values of huge info with assistance from examples. It additionally hones your ability in utilizing the Hive language in a good demeanour. in the direction of the tip, the booklet makes a speciality of complicated themes similar to functionality, protection, and extensions in Hive, on the way to consultant you on intriguing adventures in this worthy sizeable info journey.
By the tip of the ebook, you'll be acquainted with Hive and ready to paintings successfully to discover recommendations to special information problems.
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Additional info for Apache Hive Essentials
ROW FORMAT DELIMITED . . . > FIELDS TERMINATED BY '|' . . . > COLLECTION ITEMS TERMINATED BY ',' . . . txt' . . . 231 seconds) jdbc:hive2://> SELECT work_place AS col_1, . . . > work_place AS col_2, work_place AS col_3 . . . 659 seconds) jdbc:hive2://> SELECT name, skills_score['DB'] AS DB, . . . > skills_score['Perl'] AS Perl, . . . > skills_score['Python'] AS Python, . . . > skills_score['Sales'] as Sales, . . . > skills_score['HR'] as HR . . . 669 seconds) Note Note that the column name shown in the result set for Hive is always in lowercase letters.
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Hive Data Definition Language Hive Data Definition Language (DDL) is a subset of Hive SQL statements that describe the data structure in Hive by creating, deleting, or altering schema objects such as databases, tables, views, partitions, and buckets. Most Hive DDL statements start with the keywords CREATE, DROP, or ALTER. The syntax of Hive DDL is very similar to the DDL in SQL. The comments in Hive start from --. Hive database The database in Hive describes a collection of tables that are used for a similar purpose or belong to the same groups.