Can you please tell the estimated time. So, that my program will wait for that time period.
Thanks, Abhijeet Kumar > On 09-Jun-2018, at 12:01 PM, Jörn Franke <jornfra...@gmail.com> wrote: > > You need some time until the information of the file creation is propagated. > > On 9. Jun 2018, at 08:07, Abhijeet Kumar <abhijeet.ku...@sentienz.com > <mailto:abhijeet.ku...@sentienz.com>> wrote: > >> I'm modifying a CSV file which is inside HDFS and finally putting it back to >> HDFS in Spark. >> val fs=FileSystem.get(spark.sparkContext.hadoopConfiguration) >> csv_file.coalesce(1).write >> .format("csv”) >> .mode("overwrite”) >> .save("hdfs://localhost:8020/data/temp_insight >> <hdfs://localhost:8020/data/temp_insight>”) >> Thread.sleep(15000) >> println(fs.exists(new Path("/data/temp_insight"))) >> Output: >> >> false >> while I have stopped the thread for 15 sec, I have checked my hdfs using >> command >> >> hdfs dfs -ls /data/temp_insight >> Output: >> >> 18/06/08 17:48:18 WARN util.NativeCodeLoader: Unable to load native-hadoop >> library for your platform... using builtin-java classes where applicable >> -rw-r--r-- 3 abhijeet supergroup 0 2018-06-08 17:48 >> /data/temp_insight/_SUCCESS >> -rw-r--r-- 3 abhijeet supergroup 201 2018-06-08 17:48 >> /data/temp_insight/part-00000-7bffb826-f18d-4022-b089-da85565525b7-c000.csv >> To cross verify whether it is taking the path of hdfs or not I have added >> one more println statement in my code, providing the path which is already >> there in HDFS. It's showing true in that case. >> >> So, what could be the reason? >> >> Thanks, >> >> Abhijeet Kumar
