LATERAL VIEW Hive

Use LATERAL VIEW with UDTF to generate zero or more output rows for each input row. Hive Lateral view explode vs posexplode Published by Gaurang on February 6, 2019. Prior to Hive 0.6.0, lateral view did not support the predicate push-down optimization. 需求: 《疑犯》 悬疑,动作,科幻,爱情 《lie to me》 悬疑,警匪,动作,心理,剧情 《战狼》 战争,动作,灾难. The user can request a LATERAL VIEW to expand the type, i.e., show each array element in a separate record. Apache Hive. for example, let’s say our table look like this, where Telephone is an array of string. It works with a table generating function like explode() and for each output row, joins it with the base table to create a view. In Hive 0.5.0 and earlier, if you used a WHERE clause your query may not have compiled. A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. We can execute all DML operations on a view… Hive offered such function called explode(): explode() takes in an array as an input and outputs the elements of the array as separate rows.

Support for hive compatible LATERAL VIEW. create external table clients (client STRING) LOCATION ' ' I dropped the json file in the table location. Lateral View 首先将UDTF应用于基表的每一行,然后将结果输出行连接到输入行,以形成具有提供的表别名的虚拟表。 在Hive 0.6.0 之前,Lateral View 不支持谓词下推优化。 会设计、会coding. Lateral view explode, explodes the array data into multiple rows. Read: Hive CREATE INDEX to Optimize and Improve Query Performance; Hadoop Hive Bucket Concept and Bucketing Examples; Hive … Version. Hive列转行 (Lateral View + explode)详解 . 4 人 赞同了该文章. As Apache Hive supports array types, along with other primitive data types, LATERAL VIEW can also be created. Sqoop job failed with ClassNotFoundException. LATERAL VIEW.

This bug affects releases 0.12.0, 0.13.0, and 0.13.1. When to use lateral view explode in hive Published by Gaurang on December 12, 2018. if you have a table with one or more column with array datatype and if you want it to expand into multiple rows, you can use lateral view explode function.

for example, let’s say our table look like this, where Telephone is an array of string. I am trying to get the name,id fields using LATERAL VIEW, JSON_TUPLE. Also, the Hive’s query planner helps in the execution plan. Release 0.14.0 fixed the bug ().The problem relates to the UDF's implementation of the getDisplayString method, as discussed in the Hive user mailing list. A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. name: phone_numbers: A lateral view first applies the UDTF to each row of base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. Lateral view Explode . Lateral view explode, explodes the array data into multiple rows. Explode is one type of User Defined Table Building Function.