- Create a view using any of the following commands:
$ ct mkview -tag VIEWNAME /net/McName/cc_view/VIEWNAME.vws -nsh -stgloc stgloc_views (Here nsh is for unsharable views and stgloc_views is for IQviews.) $ create_view VIEWNAME -dev
- Set the created view using any of the following commands:
$ sv VIEWNAME $ct setview VIEWNAME - List views
$ ct lsview | grep singhai (singhai is regular expression to search for in VIEWNAME)
- Edit config spec
$ ct edcs - Remove a view
$ ct rmview /net/McName/cc_view/VIEWNAME.vws
- Check the current view
$ ct pwv - View the currently accessed versions of a file
$ ct ls -l FILENAME
- Checkout a file
$ ct -unr FILENAME (unr is for unreserved file)
- Un-checkout a file : Cancels a checkout
$ ct unco FILENAME - View the checkedout files
$ ct lsco -l -cvi -r (l for long, cvi for current view, r for recursive, s for short)
- View the differences between versions of a file using any of the following commands:
$ ctdiff FILENAME $ ct diff -pre -ser FILENAME $ ct diff -ser FILENAME FILENAME/main@@/LATEST
- Rename a view using following sequence of commands:
- $ ct endview -server OLDVIEWNAME
- $ ct rmtag -view OLDVIEWNAME
- $ ct unregister -view OLDLOCATION
- $ mv OLDLOCATION NEWLOCATION
- $ ct register -view NEWLOCATION
- $ ct mktag -view -tag NEWVIEWNAME NEWLOCATION
Performance Tuning of Kafka is critical when your cluster grow in size. Below are few points to consider to improve Kafka performance: Consumer group ID : Never use same exact consumer group ID for dozens of machines consuming from different topics. All of those commits will end up on the same exact partition of __consumer_offsets , hence the same broker, and this might in turn cause performance problems. Choose the consumer group ID to group_id+topic_name . Skewed : A broker is skewed if its number of partitions is greater that the average of partitions per broker on the given topic. Example: 2 brokers share 4 partitions, if one of them has 3 partitions, it is skewed (3 > 2). Try to make sure that none of the brokers is skewed. Spread : Brokers spread is the percentage of brokers in the cluster that has partitions for the given topic. Example: 3 brokers share a topic that has 2 partitions, so 66% of the brokers have partitions for this topic. Try to achieve 100% broker spread...
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