Apache spark 重复记录移动到pyspark中的其他临时表
我正在使用Pypark 我的输入数据如下所示Apache spark 重复记录移动到pyspark中的其他临时表,apache-spark,pyspark,pyspark-sql,pyspark-dataframes,Apache Spark,Pyspark,Pyspark Sql,Pyspark Dataframes,我正在使用Pypark 我的输入数据如下所示 COL1|COL2 |TYCO|130003| |EMC |120989| |VOLVO|102329| |BMW|130157| |FORD|503004| |TYCO|130003| from pyspark.sql import Row from pyspark.sql import SparkSession spark = SparkSession \ .builder \ .appName("Test") \
COL1|COL2
|TYCO|130003|
|EMC |120989|
|VOLVO|102329|
|BMW|130157|
|FORD|503004|
|TYCO|130003|
from pyspark.sql import Row
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("Test") \
.getOrCreate()
data = spark.read.csv("filepath")
data.registerTempTable("data")
spark.sql("SELECT count(col2)CNT, col2 from data GROUP BY col2 ").show()
我已经创建了DataFrame并查询重复项,如下所示
COL1|COL2
|TYCO|130003|
|EMC |120989|
|VOLVO|102329|
|BMW|130157|
|FORD|503004|
|TYCO|130003|
from pyspark.sql import Row
from pyspark.sql import SparkSession
spark = SparkSession \
.builder \
.appName("Test") \
.getOrCreate()
data = spark.read.csv("filepath")
data.registerTempTable("data")
spark.sql("SELECT count(col2)CNT, col2 from data GROUP BY col2 ").show()
这给出了正确的结果,但我们可以在单独的临时表中得到重复的值
output data in Temp1
+----+------+
| 1|120989|
| 1|102329|
| 1|130157|
| 1|503004|
+----+------+
以temp2格式输出数据
+----+------+
| 2|130003|
+----+------+