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View Code? Open in Web Editor NEWMake using Spark easier
License: GNU General Public License v2.0
Make using Spark easier
License: GNU General Public License v2.0
dbc = pysparkme.databricks.connect()
dbc.jobs.runs.ls()
def ls(job_id=None, offset=None, limit=None,
completed_only=False, active_only=False):
I want to be able to submit a notebook to an interactive cluster.
dbc = pysparkme.databricks.connect()
dbc.jobs.runs.export(123)
As a developer I need the dbfs.ls
method to be able to list files and directories recursively so that I can traverse entire tree easily to process all files, e.g. compute total size.
dbc = pysparkme.databricks.connect()
dbc.jobs.runs.get_output(123)
Add support to the dbfs ls
command for recursive file list.
I need to be able to submit a notebook run to interactive cluster from the command line.
I want to be able to invoke the cli directly so that I can type less.
I need to be able to export a notebook run into a file so that I could investigate, store and share results.
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