29264/hadoop-spark-how-to-iterate-hdfs-directories
You can use org.apache.hadoop.fs.FileSystem.
Using SPARK:
FileSystem.get(sc.hadoopConfiguration()).listFiles(..., true)
Using PySpark
hadoop = sc._jvm.org.apache.hadoop fs = hadoop.fs.FileSystem conf = hadoop.conf.Configuration() path = hadoop.fs.Path('/hivewarehouse/disc_mrt.db/unified_fact/') for f in fs.get(conf).listStatus(path): print f.getPath()
import org.apache.hadoop.fs.{FileSystem,Path} FileSystem.get( sc.hadoopConfiguration ).listStatus( new Path("hdfs:///tmp")).foreach( x => println(x.getPath ))
You need to configure the client to ...READ MORE
If you are simply looking to distribute ...READ MORE
Just use the FileSystem's copyFromLocalFile method. If the source Path ...READ MORE
You can use commands like this: hdfs dfs ...READ MORE
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The official definition of Apache Hadoop given ...READ MORE
Firstly you need to understand the concept ...READ MORE
org.apache.hadoop.mapred is the Old API org.apache.hadoop.mapreduce is the ...READ MORE
You can use the hadoop fs -ls command to ...READ MORE
Try with below commands: hadoop fs -copyFromLocal <localsrc> ...READ MORE
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