我正在尝试将DF数据写入S3存储桶。正如预期的那样,它工作得很好。现在我想根据条件将数据写入S3存储桶。
在数据帧中,我有一个名为Flag的列,在该列中值为T和F。现在的条件是如果Flag为F,则应将数据写入S3存储桶,否则不写入。请查看以下详细信息。
DF数据:
1015,2017/08,新潟,101,SW,39,1015,2017/08,山形,101,SW,10,29,74.35897435897436,11.0,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,大分,101,SW,14,25,64.1025641025641,15.4,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,山口,101,SW,6,33,84.61538461538461,6.6,T
1015,2017/08,新潟,101,SW,39,1015,2017/08,愛媛,101,SW,5,34,87.17948717948718,5.5,T
1015,2017/08,新潟,101,SW,39,1015,2017/08,神奈川,101,SW,114,75,192.30769230769232,125.4,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,富山,101,SW,12,27,69.23076923076923,13.2,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,高知,101,SW,3,36,92.3076923076923,3.3,T
1015,2017/08,新潟,101,SW,39,1015,2017/08,岩手,101,SW,11,28,71.7948717948718,12.1,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,三重,101,SW,45,6,15.384615384615385,49.5,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,京都,101,SW,23,16,41.02564102564102,25.3,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,静岡,101,SW,32,7,17.94871794871795,35.2,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,鹿児島,101,SW,18,21,53.84615384615385,19.8,F
1015,2017/08,新潟,101,SW,39,1015,2017/08,福島,101,SW,17,22,56.41025641025641,18.7,F
代码:
val df = spark.read.format("csv").option("header","true").option("inferSchema","true").load("s3a://test_system/transcation.csv")
df.createOrReplaceTempView("data")
val res = spark.sql("select count(*) from data")
res.show(10)
res.coalesce(1).write.format("csv").option("header","true").mode("Overwrite")
.save("s3a://test_system/Output/Test_Result")
res.createOrReplaceTempView("res1")
val res2 = spark.sql("select distinct flag from res1 where flag = 'F'")
if (res2 ==='F')
{
//writing to s3 bucket as raw data .Here transcation.csv file.
df.write.format("csv").option("header","true").mode("Overwrite")
.save("s3a://test_system/Output/Test_Result/rawdata")
}
我正在尝试这种方法,但无法将df数据导出到s3存储桶。如何使用条件将数据导出/写入S3存储桶?
非常感谢您的帮助。