redis-rdb-tools | Parse Redis dump.rdb files | JSON Processing library
kandi X-RAY | redis-rdb-tools Summary
kandi X-RAY | redis-rdb-tools Summary
Parse Redis dump.rdb files, Analyze Memory, and Export Data to JSON
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Top functions reviewed by kandi - BETA
- Aggregate the next record
- Add an aggregate
- Add a scatter
- Add a metric to the histogram
- Start a new list
- Return the overhead of the key expiry
- Return the overhead for a given key
- The number of entries in the hashtable entry
- Start a stream
- End the RDB
- Start a new module
- Add a member to the set
- Start a sorted set
- Add a member to the zset
- Emulate hset
- Parse a file
- Emits a key
- Start a module
- Stream data from a list
- Push an item onto the stack
- Emits a module record
- Emits a SET record
- Print memory usage for a key
- Push the value at key to the list
- Ends a stream
- Ends a list
redis-rdb-tools Key Features
redis-rdb-tools Examples and Code Snippets
> redis-memory-for-key person:1
> redis-memory-for-key -s localhost -p 6379 -a mypassword person:1
Key person:1
Bytes 111
Type hash
Encoding ziplist
Number of Elements 2
Length of Largest Element 8
Community Discussions
Trending Discussions on redis-rdb-tools
QUESTION
We used Laravel Queues on top of beanstalkd on two ec2 instances (behind a load balancer). As the system scaled we decided to use redis instead of beanstalkd, and host it on an AWS elastic cache instance (with a cluster of a master node and two replicas).
With beanstalkd, I used beanstalk utilities to monitor the health of the queue; for example if the queue was getting clogged, I could easily see that by running a command like this:
...ANSWER
Answered 2018-Jan-11 at 09:02the fix is to simply open an ssh tunnel on my local machine using this command
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install redis-rdb-tools
You can use redis-rdb-tools 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.
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