cain | Backup and restore tool for Cassandra on Kubernetes | Cloud Storage library
kandi X-RAY | cain Summary
kandi X-RAY | cain Summary
Cain is a backup and restore tool for Cassandra on Kubernetes. It is named after the DC Comics superhero Cassandra Cain.
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Top functions reviewed by kandi - BETA
- Restore is used to restore a snapshot
- NewRestoreCmd returns a new cobra . Command for restoring
- Backup performs a backup
- NewBackupCmd returns a new cobra . Command for backup
- NewSchemaCmd returns a new cobra command
- PathFromSrcToK8s is the same as pathFromSrcToK8s
- GetFromAndToPathsK8sToDst returns a list of FromToPaths to the destination directory
- Main entry point
- GetMaterializedViews calls cqlsh shardized view
- GetFromAndToPathsSrcToK8s returns a list of FromToPaths from srcPaths
cain Key Features
cain Examples and Code Snippets
Community Discussions
Trending Discussions on cain
QUESTION
ANSWER
Answered 2022-Apr-15 at 08:26I think you'd have to write a check function to get the ID of the button clicked and then handle it via if/else stuff
QUESTION
New to development, trying to get my development environment setup - any ideas as to how to fix this issue?
Command Entered: npm install -g expo-cli
Error, see below:
...ANSWER
Answered 2022-Feb-02 at 19:41The problem is the directory NPM is trying to write has restricted access (/usr/local/bin). It's a common issue and can be easily fixed by reinstalling NPM using Node Version Manager or manually changing NPM's default directory.
See more here: NPM docs
QUESTION
import pandas as pd
data_list = [['Name', 'Fruit'],
['Abel', 'Apple'],
['Abel', 'Pear'],
['Abel', 'Coconut'],
['Abel', 'Pear'],
['Benny', 'Apple'],
['Benny', 'Apple'],
['Cain', 'Apple'],
['Cain', 'Coconut'],
['Cain', 'Pear'],
['Cain', 'Lemon'],
['Cain', 'Orange']]
record_df = pd.DataFrame(data_list[1:], columns = data_list[0])
...ANSWER
Answered 2022-Feb-13 at 06:58The subset
parameter is for saying where you're looking for duplicates, so it should be 'Fruit'
. The name
column is what you want to group by, so you can do:
QUESTION
import pandas as pd
data_list = [['Name', 'Fruit'],
['Abel', 'Apple'],
['Abel', 'Pear'],
['Abel', 'Coconut'],
['Abel', 'Pear'],
['Benny', 'Apple'],
['Benny', 'Apple'],
['Cain', 'Apple'],
['Cain', 'Coconut'],
['Cain', 'Pear'],
['Cain', 'Lemon'],
['Cain', 'Orange']]
record_df = pd.DataFrame(data_list[1:], columns = data_list[0])
record_df
...ANSWER
Answered 2022-Feb-12 at 09:09Use value_counts
then groupby
:
QUESTION
ANSWER
Answered 2022-Jan-27 at 13:58You can use the insidetextfont
property of the sunburst Trace :
QUESTION
I have a people table shown below.
...ANSWER
Answered 2022-Jan-17 at 11:15You can use ROW_NUMBER() function to number records.
This numbering is based on motherId,fatherId which is sorted by age column.
After that, you can extract the numbers 1 of each family.
Use this:
QUESTION
I'm trying to use a plotly treemap within dash. When the user selects a subgroup in the treemap by clicking on it, the treemap zooms in on the selected section. Is there a way for me to get the user's selection and use that as an input into a Dash callback?
For example, here is code for a treemap in Dash:
...ANSWER
Answered 2022-Jan-15 at 07:17You could use the dcc.Graph
's clickData
property in your callback
clickData (dict; optional): Data from latest click event. Read-only.
QUESTION
So I've got a task with cities and roads. Each road between cities has it's price. There are lots of cities and some of them are connected with roads having different prices. How do I store that information? Information is read from file and then put into a Two-dimensional array. numbers{0} and numbers{1} contain the numbers of two connected cities while numbers{2} is the price of the road. So indexes of this array are the numbers of the cities and the number under those indexes is the price.
...ANSWER
Answered 2022-Jan-14 at 15:26Assuming that every city is connected to every other city by 3 or less different roads. For each road, you need to store 3 items ( source, destination and cost ) Assume that an item requires 4 bytes of storage.
5000 * 5000 * 3 * 4 = 3 * 10^8
That is 300 Megabytes of storage.
Any modern computer should have no problem storing this - memory is usually measured these days in Gigabytes.
You have some problem with your computer!
QUESTION
I'm working on a project that scrapes the items from https://platinumgod.co.uk/ & I'm having a hard time accessing all the
tags between two elements.
Here is the HTML:
...ANSWER
Answered 2021-Aug-26 at 02:58How about:
QUESTION
I have a sunburst diagram and would like to show some hoverinfo since the labels are quite long. A small reproducible example:
...ANSWER
Answered 2021-Aug-16 at 18:55You were on the right track. However, instead of using an if
make use of an vectorized ifelse
. Additionally you could add the hovertemplate
as a column to your df which at least in my opinion makes I a bit easier to condition on the parentID
and results in a cleaner code:
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