Dashboard fatigue is one of key reasons for poor adoption of logging tools among developers. With pb, we intend to bring the familiar command line interface for querying and analyzing log data at scale.
pb is the command line interface for Parseable Server. pb allows you to manage Streams, Users, and Data on Parseable Server. You can use pb to manage multiple Parseable Server instances using Profiles.
pb is available as a single, self contained binary for Mac, Linux, and Windows. You can download the latest version from the releases page.
To install pb, download the binary for your platform, un-tar the binary and place it in your $PATH
.
pb is configured with demo
profile as the default. This means you can directly start using pb against the demo Parseable Server.
To start using pb against your Parseable server, create a profile (a profile is a set of credentials for a Parseable Server instance). You can create a profile using the pb profile add
command. For example:
pb profile add local http://localhost:8000 admin admin
This will create a profile named local
that points to the Parseable Server at http://localhost:8000
and uses the username admin
and password admin
.
You can create as many profiles as you like. To avoid having to specify the profile name every time you run a command, pb allows setting a default profile. To set the default profile, use the pb profile default
command. For example:
pb profile default local
By default pb
sends json data to stdout.
pb query run "select * from backend" --from=1m --to=now
or specifying time range in rfc3999
pb query run "select * from backend" --from=2024-01-00T01:40:00.000Z --to=2024-01-00T01:55:00.000Z
You can use tools like jq
and grep
to further process and filter the output. Some examples:
pb query run "select * from backend" --from=1m --to=now | jq .
pb query run "select host, id, method, status from backend where status = 500" --from=1m --to=now | jq . > 500.json
pb query run "select host, id, method, status from backend where status = 500" | jq '. | select(.method == "PATCH")'
pb query run "select host, id, method, status from backend where status = 500" --from=1m --to=now | grep "POST" | jq . | less
To save a query as a filter use the --save-as
flag followed by a name for the filter. For example:
pb query run "select * from backend" --from=1m --to=now --save-as=FilterName
To list all filter for the active user run:
pb query list
pb
can be used to tail live data from Parseable Server. To tail live data, use the pb tail
command. For example:
pb tail backend
You can also use the terminal tools like jq
and grep
to filter and process the tail output. Some examples:
pb tail backend | jq '. | select(.method == "PATCH")'
pb tail backend | grep "POST" | jq .
To stop tailing, press Ctrl+C
.
Once a profile is configured, you can use pb to query and manage that Parseable Server instance. For example, to list all the streams on the server, run:
pb stream list
To list all the users with their privileges, run:
pb user list
You can also use the pb users
command to manage users.
Version command prints the version of pb and the Parseable Server it is configured to use.
pb version
To enable autocomplete for pb, run the following command according to your shell:
For bash:
pb autocomplete bash > /etc/bash_completion.d/pb
source /etc/bash_completion.d/pb
For zsh:
pb autocomplete zsh > /usr/local/share/zsh/site-functions/_pb
autoload -U compinit && compinit
For powershell
pb autocomplete powershell > $env:USERPROFILE\Documents\PowerShell\pb_complete.ps1
. $PROFILE