问题
How to overwrite RDD output objects any existing path when we are saving time.
test1:
975078|56691|2.000|20171001_926_570_1322
975078|42993|1.690|20171001_926_570_1322
975078|46462|2.000|20171001_926_570_1322
975078|87815|1.000|20171001_926_570_1322
rdd=sc.textFile('/home/administrator/work/test1').map( lambda x: x.split("|")[:4]).map( lambda r: Row( user_code = r[0],item_code = r[1],qty = float(r[2])))
rdd.coalesce(1).saveAsPickleFile("/home/administrator/work/foobar_seq1")
The first time it is saving properly. now again I removed one line from the input file and saving RDD same location, it show file has existed.
rdd.coalesce(1).saveAsPickleFile("/home/administrator/work/foobar_seq1")
For example, in dataframe we can overwrite existing path.
df.coalesce(1).write().overwrite().save(path)
If I am doing same on RDD object getting an error.
rdd.coalesce(1).write().overwrite().saveAsPickleFile(path)
please help me on this
回答1:
Hi you can save RDD files like below Note (code is in scala but logic should be same for python as well) i am using 2.3.0 spark version.
val sconf = new SparkConf().set("spark.hadoop.validateOutputSpecs", "False").setMaster("local[*]").setAppName("test")
val scontext = new SparkContext(sconf)
val lines = scontext.textFile("C:\\Users\\...\\Desktop\\Sampledata.txt", 1)
println(lines.first)
lines.saveAsTextFile("C:\\Users\\...\\Desktop\\sample2")
or if ur working with DataFrame then use
DF.write.mode(SaveMode.Overwrite).parquet(path.parquet")
or for more info please look at this
回答2:
While, the rdd without write mode, and you can convert rdd to df , using df overwrite mode. As follows:
df.coalesce(1).toDF().map(lambda x: (x,)).write.csv(path=yourpath, mode='overwrite')
来源:https://stackoverflow.com/questions/49528893/how-to-overwrite-the-rdd-saveaspicklefilepath-if-file-already-exist-in-pyspark