Flink sql lateral view explode
WebFlink’s SQL support is based on Apache Calcite which implements the SQL standard. This page lists all the supported statements supported in Flink SQL for now: SELECT (Queries) CREATE TABLE, CATALOG, DATABASE, VIEW, FUNCTION. DROP TABLE, DATABASE, VIEW, FUNCTION. ALTER TABLE, DATABASE, FUNCTION. WebSQL Client # Flink’s Table & SQL API makes it possible to work with queries written in the SQL language, but these queries need to be embedded within a table program that is …
Flink sql lateral view explode
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WebOct 30, 2024 · The lateral views are used along with EXPLODE or INLINE functions. Both functions work on the complex data types such as array. Explode function in the lateral view can contain embedded functions … WebNov 7, 2016 · The right way to think about LATERAL VIEW is that it allows a table-generating function (UDTF) to be treated as a table source, so that it can be used like any other table, including selects, joins and more. …
WebFeb 23, 2024 · explode () can be used to create a new row for each element in an array or each key-value pair. This is similar to LATERAL VIEW EXPLODE in HiveQL. // input { "a": [1, 2] } Python: events.select (explode ("a").alias ("x")) Scala: events.select (explode ('a) as 'x) SQL: select explode (a) as x from events // output [ { "x": 1 }, { "x": 2 }] Web本人在日常工作中使用的埋点表会有一个 数据池字段,里面都是json字符串。根据业务需求在指定页面类型和用户行为的条件下灵活取出来里面的具体信息,是SQL书写中很重要 …
Web二、Lateral View用法. lateral view的意义是配合explode(或者其他的UDTF),一个语句生成把单行数据拆解成多行后的数据结果集。 首先准备一张表test 利用 lateral view … Lateral view clause is used in conjunction with user-defined table generating functions(UDTF) such as explode().A UDTF generates zero or more output rows for each input row. A lateral view first applies the UDTF to each row of base and then joins results output rows to the input rows to form a virtual table … See more The column alias can be omitted. In this case, aliases are inherited from fields name of StructObjectInspector which is returned from UDTF. See more Assuming you have one table: And the table contains two rows: Now, you can use LATERAL VIEW to convert the column addid_listinto separate rows: Also, if you have one table: You … See more
WebJan 12, 2024 · Dynamically extracting JSON values using LATERAL FLATTEN This article is to demonstrate various examples of using LATERAL FLATTEN to extract information from a JSON Document. Examples are provided for its utilization together with GET_PATH, UNPIVOT, and SEQ funcitons. Loading Support Portal Case Submission …
WebFlink Table API & SQL provides users with a set of built-in functions for data transformations. This page gives a brief overview of them. If a function that you need is … how many catalytic sites on f1Web2 days ago · SQL concat_ws, collect_set, 和explode合并使用. 1. 背景. 有一个这样的数据集:字段和字段的值是两列. 目的是将这个数据转换成规整的一个特征是一列的数据:. 2. 做法. 第一步:先造出列. select ucid , CASE WHEN type ='性别' THEN label end `性别` , CASE WHEN type ='产品' THEN label end ... high school bully videoWebOct 15, 2024 · A lateral view first applies the UDTF to each row of the base table and then joins resulting output rows to the input rows to form a virtual table having the supplied table alias. LATERAL VIEW can’t function alone. It needs to be used along with a UDTF. Here we are using explode () to first explode the array to individual rows. high school bully storyWebMar 30, 2024 · Here's an example that does something similar. Given this table: CREATE TABLE `flink_commits` ( `author` VARCHAR(2147483647), `authorDate` … how many cat years is one yearWebBoth INLINE and EXPLODE are UDTFs and require LATERAL VIEW in Hive. In Spark it works fine without lateral view. The only difference is that EXPLODE returns dataset of … high school bullying cases cnnWebJan 22, 2024 · standard explode query: in spark:SELECT coalesce(joined.orgId, 'unknown') AS orgid, coalesce(joined.id, 'unknown') AS userid, 'join' AS activity, SM.object.id AS spaceid, timestamp AS time_stamp, convertTime(timestamp) as pdate FROM SOURCE_VIEW LATERAL VIEW explode(SM.object.participants) t AS joined WHERE … high school bullying articlesWebexplode can only be placed in the SELECT list as the root of an expression or following a LATERAL VIEW . When placing the function in the SELECT list there must be no other generator function in the same SELECT list or UNSUPPORTED_GENERATOR.MULTI_GENERATOR is raised. Applies to: Databricks … high school bullying movies