Using the data lake command line tool

The DataLake client offers a way to interact with the datalake via the command line. It is part of the datalake-client-libraries project that enables integration with external tools. It is a standalone wrapper of the hdfs dfs command that hadoop users might be familiar with.

Retrieving access credentials

All required credentials (the core-site.xml file) can be accessed from the Infrastructure Editor:


Installing the command line utility

  1. Java JRE 1.8 is required. JAVA_HOME must be set or at least the java executable must be available in the path.
  2. If you have the Oracle JDK, install Java Cryptography Extension (JCE) Unlimited Strength Jurisdiction Policy Files 8.
  3. Create and deploy a DataLake using the infrastructure editor at
  4. Download the binaries from the Bigstep DataLake repository.
  5. Download the core-site.xml configuration file from the Configuration tab of the DataLake overview panel in the interface.
  6. Setup a keytab. Use the password you use to log in to your Bigstep account:
./bin/dl genkeytab /etc/kxxx.keytab
  1. Edit ./conf/core-site.xml and add your (kxxx) principal or the DataLake endpoint that you plan to use.
  2. Execute commands by using ./bin/dl.

Listing a directory from the DataLake:

./bin/dl -ls dl://
Found 27 items
-rw-r-----   3 k7 i1929     208224 2016-10-24 19:51 dl://
-rw-r-----   3 k7 i1929    5989686 2016-10-24 19:52 dl://
-rw-r-----   3 k7 i1929       8104 2016-10-24 19:52 dl://
-rw-r-----   3 k7 i1929     246769 2016-10-24 19:52 dl://
-rw-r-----   3 k7 i1929      18188 2016-10-24 19:52 dl://

Uploading a file/directory to the DataLake:

./bin/dl -copyFromLocal dl://

Downloading a file/directory from the DataLake:

./bin/dl -cp dl:// /tmp

Deleting a file/directory from the DataLake:

./bin/dl -rm -r -f dl:// 

To find out more comands run:

./bin/dl -help