sameeragarwal

SQL ACLs in Databricks

We support fine-grained access control via the SparkSQL interface in Databricks. In this context, access can be restricted on any securable objects, e.g. tables, views, databases or functions. Fine-grained level access control (i.e. on rows or columns matching specific conditions) can be accomplished via access control on derived views that can contain arbitrary queries. These access control policies are enforced by the SQL query analyzer at runtime. Fine-grained access control can be enabled on a Databricks Spark 2.1+ cluster by setting a custom spark config on the cluster creation page:

spark.databricks.acl.enabled true

Privileges

henrik

tmux cheatsheet

As configured in my dotfiles.

start new:

tmux

start new with session name:

bortzmeyer

#!/usr/bin/python

# All SSH libraries for Python are junk (2011-10-13).
# Too low-level (libssh2), too buggy (paramiko), too complicated
# (both), too poor in features (no use of the agent, for instance)

# Here is the right solution today:

import subprocess
import sys