如何删除从Spark数据帧创建的表中的行?

问题描述

基本上，我想使用SQL语句进行简单的删除，但是当我执行sql脚本时，会引发以下错误:

Basically, I would like to do a simple delete using SQL statements but when I execute the sql script it throws me the following error:

这些是我正在使用的脚本:

These is the script that I'm using:

sq = SparkSession.builder.config('spark.rpc.message.maxSize','1536').config("spark.sql.shuffle.partitions",str(shuffle_value)).getOrCreate()
adsquare = sq.read.csv(f, schema=adsquareSchemaDevice , sep=";", header=True)
adsquare_grid = adsqaureJoined.select("userid", "latitude", "longitude").repartition(1000).cache()
adsquare_grid.createOrReplaceTempView("adsquare")

sql = """
    DELETE a.* FROM adsquare a
    INNER JOIN codepoint c ON a.grid_id = c.grid_explode
    WHERE dis2 > 1 """

sq.sql(sql)

注意:代码点表是在执行期间创建的.

Note: The codepoint table is created during the execution.

还有其他方法可以删除符合上述条件的行吗?

Is there any other way I can delete the rows with the above conditions?

推荐答案

您不能从数据框中删除行.但是您可以创建新的数据框，以排除不需要的记录.

You can not delete rows from Data Frame. But you can create new Data Frame which exclude unwanted records.

sql = """
    Select a.* FROM adsquare a
    INNER JOIN codepoint c ON a.grid_id = c.grid_explode
    WHERE dis2 <= 1 """

sq.sql(sql)

通过这种方式，您可以创建新的数据框.在这里，我使用了逆向条件 dis2< = 1

In this way you can create new data frame. Here I used reverse condition dis2 <= 1

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