reading files recursively using spark
Hi experts! what is efficient way to read all files using spark from directory and its sub-directories as well.currently i move all files from directory and it sub-directories into another temporary directory and then read them all using sc.textFile method. But I want a method so that moving to temporary directory cost may be saved. Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/reading-files-recursively-using-spark-tp20782.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: reading files recursively using spark
How about using the HDFS API to create a list of all the directories to read from, and passing them as a comma-joined string to sc.textFile? On Fri, Dec 19, 2014 at 11:13 AM, Hafiz Mujadid hafizmujadi...@gmail.com wrote: Hi experts! what is efficient way to read all files using spark from directory and its sub-directories as well.currently i move all files from directory and it sub-directories into another temporary directory and then read them all using sc.textFile method. But I want a method so that moving to temporary directory cost may be saved. Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/reading-files-recursively-using-spark-tp20782.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: reading files recursively using spark
Hi, You can use FileInputformat API of Hadoop and newApiHadoopFile of spark to get recursion. More on the topic you can refer here http://stackoverflow.com/questions/8114579/using-fileinputformat-addinputpaths-to-recursively-add-hdfs-path On Fri, Dec 19, 2014 at 4:50 PM, Sean Owen so...@cloudera.com wrote: How about using the HDFS API to create a list of all the directories to read from, and passing them as a comma-joined string to sc.textFile? On Fri, Dec 19, 2014 at 11:13 AM, Hafiz Mujadid hafizmujadi...@gmail.com wrote: Hi experts! what is efficient way to read all files using spark from directory and its sub-directories as well.currently i move all files from directory and it sub-directories into another temporary directory and then read them all using sc.textFile method. But I want a method so that moving to temporary directory cost may be saved. Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/reading-files-recursively-using-spark-tp20782.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org -- Regards, Madhukara Phatak http://www.madhukaraphatak.com
Re: reading files recursively using spark
On hdfs I created: /one/one.txt # contains text one /one/two/two.txt # contains text two Then: val data = sc.textFile(/one/*) data.collect This returned: Array(one, two) So the above path designation appears to automatically recurse for you. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/reading-files-recursively-using-spark-tp20782p20784.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: reading files recursively using spark
thanks bethesda! But if we have structure like this a/b/a.txt a/c/c.txt a/d/e/e.txt then how can we handle this case? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/reading-files-recursively-using-spark-tp20782p20785.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
