pytdx_backup | rainx_pytdx的备份 | Continuous Backup library

by wps1112 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | pytdx_backup Summary

pytdx_backup is a Python library typically used in Backup Recovery, Continuous Backup applications. pytdx_backup has no bugs, it has no vulnerabilities and it has low support. However pytdx_backup build file is not available. You can download it from GitHub.

rainx_pytdx的备份

Support

Quality

Security

License

Reuse

Support

pytdx_backup has a low active ecosystem.

It has 14 star(s) with 47 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

pytdx_backup has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pytdx_backup is current.

Quality

pytdx_backup has no bugs reported.

Security

pytdx_backup has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pytdx_backup does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pytdx_backup releases are not available. You will need to build from source code and install.

pytdx_backup has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed pytdx_backup and discovered the below as its top functions. This is intended to give you an instant insight into pytdx_backup implemented functionality, and help decide if they suit your requirements.

Parse the response buffer
Get price from given position
Format a time stamp
Return the index of the given position in the given position
Download and setup tdX trade server
Print to stdout
Generate config file
Parses the response buffer
Get time from buffer
Send orders to a client
Get a report file by size
Fetch and parse the content and parse it
Cancel orders
Print a table
Get the content of the Tx report
Print data to stdout
Run function
Parse the response from the buffer
Parse the response from the server
This function parses the response from the data buffer
Connect to server
Make a GPG - encoded signature
Parse the response buffer
Parse the response buffer
Parse the response
Returns the best IP address
Parse the response from the given buffer

Get all kandi verified functions for this library.

pytdx_backup Key Features

No Key Features are available at this moment for pytdx_backup.

pytdx_backup Examples and Code Snippets

No Code Snippets are available at this moment for pytdx_backup.

Community Discussions

Trending Discussions on Continuous Backup

How to disable azure cosmos db continious backup

Consistency of Continuous backup of Azure Cosmos DB

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

QUESTION

How to disable azure cosmos db continious backup

Asked 2022-Feb-22 at 10:59

I enabled the Azure cosmos DB continuous backup for one of my Cosmos DBs.
How can I disable it? It just says you have successfully enrolled in continuous backup.

...

ANSWER

Answered 2022-Feb-22 at 10:59

I am not sure if you have seen this message in the portal when you created the account/also mentioned in the doc

"You will not be able to switch between the backup policies after the account has been created"

since you need to select either "Periodic" or "Continuous" at the creation of Cosmos Account, it becomes mandatory.

Update:

You will not see the above in portal anymore, you can Switch from "Periodic" to "Continous" on an existing account and that cannot be reverted. You can read more here.

Source https://stackoverflow.com/questions/69347197

QUESTION

Consistency of Continuous backup of Azure Cosmos DB

Asked 2021-Nov-25 at 17:15

What would be the consistency of the continuous backup of the write region if the database is using bounded staleness consistency? Will it be equivalent to strong consistent data assuming no failovers happened?

Thanks Guru

...

ANSWER

Answered 2021-Nov-25 at 17:15

Backups made from any secondary region will have data consistency defined by the guarantees provided by the consistency level chosen. In the case of strong consistency, all secondary region backups will have completely consistent data.

Bounded staleness will have data that may have stale or inconsistent data inside the defined staleness window (minimum 300 seconds or 100k writes). Outside of that staleness window the data will be consistent.

Data for the weaker consistency levels will have no guarantees for consistency from backups in secondary regions.

Source https://stackoverflow.com/questions/70099953

QUESTION

Mongo atlas recommends cloud provider snaphots for backup - Is it effective?

Asked 2020-May-19 at 10:12

MongoDB has deprecated the continuous back up of data. It has recommended using CPS (Cloud provider snapshots). As far as I understood, snapshots isn't really going to be effective compared to continuous backup coz, if system breaks, then we can only be able to restore the data till the previous snapshot which isn't gonna make the database up-to-date or close to it atleast.

Am I missing something here in my understanding?

...

ANSWER

Answered 2020-May-19 at 10:12

Cloud provider snapshots can be combined with point in time restore to give the recovery point objective you require. With oplog based restores you can get granularity of one second.

Source https://stackoverflow.com/questions/61886736

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pytdx_backup

You can download it from GitHub.
You can use pytdx_backup like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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