使用 Spark SQL 跳过/接受 [英] Skip/Take with Spark SQL

问题描述

如何使用 Spark SQL 实现跳过/获取查询(典型的服务器端网格分页).我已经搜索了网络，只能在这里找到非常基本的示例，例如:https://databricks-training.s3.amazonaws.com/data-exploration-using-spark-sql.html

How would one go about implementing a skip/take query (typical server side grid paging) using Spark SQL. I have scoured the net and can only find very basic examples such as these here: https://databricks-training.s3.amazonaws.com/data-exploration-using-spark-sql.html

我没有看到任何类似于 T-SQL 的 ROW_NUMBER() 或 OFFSET/FETCH 概念.有谁知道如何做到这一点?

I don't see any concept of ROW_NUMBER() or OFFSET/FETCH like with T-SQL. Does anyone know how to accomplish this?

类似于:

scala > csc.sql("select * from users skip 10 limit 10").collect()

推荐答案

试试这个:

val rdd = csc.sql("select * from <keyspace>.<table>")
val rdd2 = rdd.view.zipWithIndex()
rdd2.filter(x => { x._2 > 5 && x._2 < 10;}).collect()
rdd2.filter(x => { x._2 > 9 && x._2 < 12;}).collect()

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