SparkSQL一行转多行 一列变多列 多行转一行
程序员文章站
2022-03-31 21:47:13
...
项目开发中有这样的需求,原始数据如下:
+--------+-----------+
| name| message|
+--------+-----------+
|zhangsan| 4=18,33=78|
| lisi|23=54,67=88|
+--------+-----------+
一行转多行:
根据指定的标识符进行切分,然后一行转多行,以新列进行展示:
val result= df.withColumn("newMessage",functions.explode(functions.split(functions.col("message"),",")))
result.show()
结果如下:
+--------+-----------+----------+
| name| message|newMessage|
+--------+-----------+----------+
|zhangsan| 4=18,33=78| 4=18|
|zhangsan| 4=18,33=78| 33=78|
| lisi|23=54,67=88| 23=54|
| lisi|23=54,67=88| 67=88|
+--------+-----------+----------+
一列变多列:
将上面的结果数据newMessage,以“=”进行切割,然后等号两边的数据两列展示:
val Df2 = result.withColumn("newMessage2",split(col("newMessage"), "=")).select(
col("name"),
col("message"),
col("newMessage"),
col("newMessage2").getItem(0).as("start"),
col("newMessage2").getItem(1).as("end")
).drop("newMessage2");
Df2.show(false)
结果如下:
+--------+-----------+----------+-----+---+
|name |message |newMessage|start|end|
+--------+-----------+----------+-----+---+
|zhangsan|4=18,33=78 |4=18 |4 |18 |
|zhangsan|4=18,33=78 |33=78 |33 |78 |
|lisi |23=54,67=88|23=54 |23 |54 |
|lisi |23=54,67=88|67=88 |67 |88 |
+--------+-----------+----------+-----+---+
多行转一行:
将下面数据中相同name的newMessage数据转成一行:
+--------+----------+
| name|newMessage|
+--------+----------+
|zhangsan| 4=18|
|zhangsan| 33=78|
| lisi| 23=54|
| lisi| 67=88|
+--------+----------+
dataFrame.createTempView("dataFrame")
sparkSession.sql("select name,concat_ws(',',collect_set(newMessage)) as message from dataFrame group by name").show()
结果如下:
+--------+-----------+
| name| message|
+--------+-----------+
|zhangsan| 4=18,33=78|
| lisi|67=88,23=54|
+--------+-----------+
上一篇: 读取图像并显示图像