According to redis manual (http://redis.io/topics/mass-insert), I do the following from command line (debian):
dev#dev:~$ redis-cli --pipe
*3\r\n$3\r\nSET\r\n$3\r\nkey\r\n$5\r\nvalue\r\n
What is corresponds to
SET key value
command for redis-server...
Now, how to "commit" (send) that command to server?
Can't find any ways... It was an examples with text files, but I need to commit manually...
Redis should commit everything automatically unless you're inside a MULTI block.
Related
I am using redis-cli. I would like to add in a set the numbers 1 all the way to 4,500,000. How can I accomplish this? The docs for sadd do not mention how to do this. If this would involve having to type or paste in every single integer individually, this obviously won't work in the CLI, so is there another way programatically?
You can use a bash script for doing this.
Use 'seq' to create a list of numbers, loop over it and add the current iteration inside the set
#!/bin/bash
for i in `seq 10`
do
redis-cli sadd myset $i
done
In case you need to use redis-cli with host and port details, change the command accordingly: redis-cli -h -p
Once you have this ready in a .sh file, you can run it like:
bash redis_script.sh
I am working in a scenario with one Redis Master and several replicas, distributed in two cities, for geographic redundancy. My point is, for some reason, in a Lua script I need to know in which city the active instance is running. I thought, quite simple :
redis.call("config", "get", "bind"), and knowing the server IP I will determine the city. Not quite:
$ cat config.lua
redis.call("config", "get", "bind")
$ redis-cli --eval config.lua
(error) ERR Error running script (call to f_9bfbf1fd7e6331d0e3ec9e46ec28836b1d40ba35): #user_script:1: #user_script: 1: This Redis command is not allowed from scripts
Why is "config" not allowed from scripts? First, even though it's no deterministic, there are no write commands.
Second, I am using version 5.0.4, and from version 5 the replication is supposed to be done by effects and not by script propagation.
Any ideas?
I have seen this pass results to another command in redis
and using via command line this command works well :
src/redis-cli keys '*' | xargs src/redis-cli mget
However how can we achieve the same effect via Lettuce (i started trying out 4.0.2.Final)
Also a solution to this is particularly important in the following scenario :
Say we are using geolocation capabilities, and we add a set of locations of "my-location-category"
using GEOADD
GEOADD "category-1" 8.6638775 49.5282537 "location-id:1" 8.3796281 48.9978127 "location-id:2" 8.665351 49.553302 "location-id:3"
Next, say we do a GeoRadius to get locations within 10 km radius of 8.6582361 49.5285495 for "category-1"
Now when we get "location-id:1" & "location-id:3"
Given that I already set values for above keys "location-id:1" & "location-id:3"
I want to pipe commands to do the GEORADIUS as well as do mget on all the matching results.
Does Redis provide feature to do that?
and / or how can we achieve this via the Lettuce client library without first manually iterating through results of GEORADIUS and then do manual mget.
That would be more efficient performance for the program that uses it.
Does anyone know how we can do this ?
Update
This is the piped command for the scenario I discussed above :
src/redis-cli GEORADIUS "category-1" 8.6582361 49.5285495 10 km | xargs src/redis-cli mget
Now we need to know how to do this via Lettuce
IMPORTANT: never use KEYS, always use SCAN instead if you must.
This isn't really a question about Lettuce nor Java so I can actually answer it :)
What you're trying to do is use the results from a read operation (GEORADIUS) as input (key names) for another read operation (MGET). This type of flow can't be pipelined, well, just because of that - pipelining means that you don't need the answers for operations right away but in you case you do.
However.
Since you're reading String keys with MGET, you might as well just denormalize everything (remember, we're NoSQL) and store the contents of these keys in the Sorted Set's members, e.g.:
GEOADD "category-1" 8.6638775 49.5282537 "location-id:1:moredata:evenmoredata:{maybe a JSON document here}:orperhapsmsgpack"
This will allow you to get the locations and their "data" with one GEORADIUS call. Of course, any updates to location:1's data will need to be done across all categories.
A note about Lua scripts: while a Lua script could definitely save on the back and forth in this case, any such script will be against best practices/not cluster safe.
After digging around and studying Lua script, my conclusion is that removing round-trips in such a way can only be done via Lua scripts as suggested by Itamar Haber.
I ended up creating a lua script file (myscript.lua) as below
local locationKeys = redis.call('GEORADIUS', 'category-1', '8.6582361', '49.5285495', '10', 'km' )
if unpack(locationKeys) == nil then
return nil
else
return redis.call('MGET', unpack(locationKeys))
end
** of course we should be sending in parameters to this... this is just a poc :)
now you can execute it via command
src/redis-cli EVAL "$(cat myscript.lua)" 0
Then to reduce the network-overhead of sending across the entire script to Redis for execution, we have the option of registering the script with Redis.
Redis will give us a sha1 digested code for future references for that script, which can be used for next calls to that script.
This can be done as below :
src/redis-cli SCRIPT LOAD "$(cat myscript.lua)"
this should give back a sha1 code something like this : 49730aa2ed3034ee48f818e486tpbdf1b500b19e
next calls can be done using this code
eg
src/redis-cli evalsha 49730aa2ed3034ee48f818e486b2bdf1b500b19e 0
The sad part however here is that the sha1 digest is remembered only so long as the instance of redis is running. If it is restarted, that the sha1 digest is lost. Then you do the SCRIPT LOAD once again. And if nothing changes in the script, then the sha1-digest code will be the same.
Ideally while using through client api, we should first attempt evalsha, if that returns a "No matching script" error, then as a fallback do script load, and procure the sha1 code once again, and create an internal map of that and use that sha1 code for further calls.
This can well be done via Lettuce. I could find the methods for those. Hope this gives a good insight into solution for the problem.
In the repository home page , i can see comments posted in recent activity at the bottom, bit it only shows 10 commnets.
i want to all the comments posted since beginning.
Is there any way
Comments of pull requests, issues and commits can be retrieved using bitbucket’s REST API.
However it seems that there is no way to list all of them at one place, so the only way to get them would be to query the API for each PR, issue or commit of the repository.
Note that this takes a long time, since bitbucket has seemingly set a limit to the number of accesses via API to repository data: I got Rate limit for this resource has been exceeded errors after retrieving around a thousand results, then I could retrieve about only one entry per second elapsed from the time of the last rate limit error.
Finding the API URL to the repository
The first step is to find the URL to the repo. For private repositories, it is necessary to get authenticated by providing username and password (using curl’s -u switch). The URL is of the form:
https://api.bitbucket.org/2.0/repositories/{repoOwnerName}/{repoName}
Running git remote -v from the local git repository should provide the missing values. Check the forged URL (below referred to as $url) by verifying that repository information is correctly retrieved as JSON data from it: curl -u username $url.
Fetching comments of commits
Comments of a commit can be accessed at $url/commit/{commitHash}/comments.
The resulting JSON data can be processed by a script. Beware that the results are paginated.
Below I simply extract the number of comments per commit. It is indicated by the value of the member size of the retrieved JSON object; I also request a partial response by adding the GET parameter fields=size.
My script getNComments.sh:
#!/bin/sh
pw=$1
id=$2
json=$(curl -s -u username:"$pw" \
https://api.bitbucket.org/2.0/repositories/{repoOwnerName}/{repoName}/commit/$id/comments'?fields=size')
printf '%s' "$json" | grep -q '"type": "error"' \
&& printf "ERROR $id\n" && exit 0
nComments=$(printf '%s' "$json" | grep -o '"size": [0-9]*' | cut -d' ' -f2)
: ${nComments:=EMPTY}
checkNumeric=$(printf '%s' "$nComments" | tr -dc 0-9)
[ "$nComments" != "$checkNumeric" ] \
&& printf >&2 "!ERROR! $id:\n%s\n" "$json" && exit 1
printf "$nComments $id\n"
To use it, taking into account the possibility for the error mentioned above:
A) Prepare input data. From the local repository, generate the list of commits as wanted (run git fetch -a prior to update the local git repo if needed); check out git help rev-list for how it can be customised.
git rev-list --all | sort > sorted-all.id
cp sorted-all.id remaining.id
B) Run the script. Note that the password is passed here as a parameter – so first assign it to a variable safely using stty -echo; IFS= read -r passwd; stty echo, in one line; also see security considerations below. The processing is parallelised onto 15 processes here, using the option -P.
< remaining.id xargs -P 15 -L 1 ./getNComments.sh "$passwd" > commits.temp
C) When the rate limit is reached, that is when getNComments.sh prints !ERROR!, then kill the above command (Ctrl-C), and execute these below to update the input and output files. Wait a while for the request limit to increase, then re-execute the above one command and repeat until all the data is processed (that is when wc -l remaining.id returns 0).
cat commits.temp >> commits.result
cut -d' ' -f2 commits.result | sort | comm -13 - sorted-all.id > remaining.id
D) Finally, you can get the commits which received comments with:
grep '^[1-9]' commits.result
Fetching comments of pull requests and issues
The procedure is the same as for fetching commits’ comments, but for the following two adjustments:
Edit the script to replace in the URL commit by pullrequests or by issues, as appropriate;
Let $n be the number of issues/PRs to search. The git rev-list command above becomes: seq 1 $n > sorted-all.id
The total number of PRs in the repository can be obtained with:
curl -su username $url/pullrequests'?state=&fields=size'
and, if the issue tracker is set up, the number of issues with:
curl -su username $url/issues'?fields=size'
Hopefully, the repository has few enough PRs and issues so that all data can be fetched in one go.
Viewing comments
They can be viewed normally via the web interface on their commit/PR/issue page at:
https://bitbucket.org/{repoOwnerName}/{repoName}/commits/{commitHash}
https://bitbucket.org/{repoOwnerName}/{repoName}/pull-requests/{prId}
https://bitbucket.org/{repoOwnerName}/{repoName}/issues/{issueId}
For example, to open all PRs with comments in firefox:
awk '/^[1-9]/{print "https://bitbucket.org/{repoOwnerName}/{repoName}/pull-requests/"$2}' PRs.result | xargs firefox
Security considerations
Arguments passed on the command line are visible to all users of the system, via ps ax (or /proc/$PID/cmdline). Therefore the bitbucket password will be exposed, which could be a concern if the system is shared by multiple users.
There are three commands getting the password from the command line: xargs, the script, and curl.
It appears that curl tries to hide the password by overwriting its memory, but it is not guaranteed to work, and even if it does, it leaves it visible for a (very short) time after the process starts. On my system, the parameters to curl are not hidden.
A better option could be to pass the sensitive information through environment variables. They should be visible only to the current user and root via ps axe (or /proc/$PID/environ); although it seems that there are systems that let all users access this information (do a ls -l /proc/*/environ to check the environment files’ permissions).
In the script simply replace the lines pw=$1 id=$2 with id=$1, then pass pw="$passwd" before xargs in the command line invocation. It will make the environment variable pw visible to xargs and all of its descendent processes, that is the script and its children (curl, grep, cut, etc), which may or may not read the variable. curl does not read the password from the environment, but if its password hiding trick mentioned above works then it might be good enough.
There are ways to avoid passing the password to curl via the command line, notably via standard input using the option -K -. In the script, replace curl -s -u username:"$pw" with printf -- '-s\n-u "%s"\n' "$authinfo" | curl -K - and define the variable authinfo to contain the data in the format username:password. Note that this method needs printf to be a shell built-in to be safe (check with type printf), otherwise the password will show up in its process arguments. If it is not a built-in, try with print or echo instead.
A simple alternative to an environment variable that will not appear in ps output in any case is via a file. Create a file with read/write permissions restricted to the current user (chmod 600), and edit it so that it contains username:password as its first line. In the script, replace pw=$1 with IFS= read -r authinfo < "$1", and edit it to use curl’s -K option as in the paragraph above. In the command line invocation replace $passwd with the filename.
The file approach has the drawback that the password will be written to disk (note that files in /proc are not on the disk). If this too is undesirable, it is possible to pass a named pipe instead of a regular file:
mkfifo pipe
chmod 600 pipe
# make sure printf is a builtin, or use an equivalent instead
(while :; do printf -- '%s\n' "username:$passwd"; done) > pipe&
pid=$!
exec 3<pipe
Then invoke the script passing pipe instead of the file. Finally, to clean up do:
kill $pid
exec 3<&-
This will ensure the authentication info is passed directly from the shell to the script (through the kernel), is not written to disk and is not exposed to other users via ps.
You can go to Commits and see the top line for each commit, you will need to click on each one to see further information.
If I find a way to see all without drilling into each commit, I will update this answer.
I have a long text file of redis commands that I need to execute using the redis command line interface:
e.g.
DEL 9012012
DEL 1212
DEL 12214314
etc.
I can't seem to figure out a way to enter the commands faster than one at a time. There are several hundred thousands lines, so I don't want to just pile them all into one DEL command, they also don't need to all run at once.
the following code works for me with redis 2.4.7 on mac
./redis-cli < temp.redisCmds
Does that satisfy your requirements? Or are you looking to see if there's a way to programmatically do it faster?
If you don't want to make a file, use echo and \n
echo "DEL 9012012\nDEL 1212" | redis-cli
The redis-cli --pipe can be used for mass-insertion. It is available since 2.6-RC4 and in Redis 2.4.14.
For example:
cat data.txt | redis-cli --pipe
More info in: http://redis.io/topics/mass-insert
I know this is an old old thread, but adding this since it seems missed out among other answers, and one that works well for me.
Using heredoc works well here, if you don't want to use echo or explicitly add \n or create a new file -
redis-cli <<EOF
select 15
get a
EOF