如何使用 sparklyr 过滤部分匹配 [英] How to filter on partial match using sparklyr

问题描述

我是 sparklyr 的新手(但熟悉 spark 和 pyspark)，我有一个非常基本的问题.我正在尝试根据部分匹配过滤列.在 dplyr 中，我会这样写我的操作:

I'm new to sparklyr (but familiar with spark and pyspark), and I've got a really basic question. I'm trying to filter a column based on a partial match. In dplyr, i'd write my operation as so:

businesses %>%
  filter(grepl('test', biz_name)) %>%
  head

在火花数据帧上运行该代码但是给了我:

Running that code on a spark dataframe however gives me:

错误:org.apache.spark.sql.AnalysisException:未定义的函数:'GREPL'.该函数既不是已注册的临时函数，也不是在数据库project_eftpos_failure"中注册的永久函数.第 5 行 pos 7

Error: org.apache.spark.sql.AnalysisException: Undefined function: 'GREPL'. This function is neither a registered temporary function nor a permanent function registered in the database 'project_eftpos_failure'.; line 5 pos 7

推荐答案

和标准 Spark 一样，你可以使用 rlike(Java 正则表达式):

The same as in standard Spark, you can use either rlike (Java regular expressions):

df <- copy_to(sc, iris) 

df %>% filter(rlike(Species, "osa"))

# or anchored
df %>% filter(rlike(Species, "^.*osa.*$"))

或 like(简单的 SQL 正则表达式):

or like (simple SQL regular expressions):

df %>% filter(like(Species, "%osa%"))

这两种方法也可以使用后缀表示法

Both methods can be also used with suffix notation as

df %>% filter(Species %rlike%  "^.*osa.*$")

和

df %>% filter(Species %like% "%osa%")

分别.

详情见vignette(sql-translation").

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