A collection of command line tools for crate devs
Project description
A collection of command line tools for Crate. Most of these tools output JSON. In order to pretty-print the output or filter it using jq is recommended.
Target audience are mostly developers of Crate and not users.
Install 💾
Python >= 3.5.1 is required to use the command line tools.
Install them using pip:
pip install cr8
(Users of Python 3.5.0 might run into this AssertionError.)
Usage
The main binary is called cr8 which contains a couple of sub-commands.
Use cr8 -h or cr8 <subcommand> -h to get a more detailed usage description.
The included sub-commands are described in more detail below:
Sub-commands
timeit 🕐
A tool that can be used to measure the runtime of a given SQL statement on a cluster:
>>> echo "select name from sys.cluster" | cr8 timeit --hosts localhost:4200
{
"bulk_size": null,
"concurrency": 1,
"ended": ...
"runtime_stats": {
...
},
"started": ...
"statement": "select name from sys.cluster\n",
"version_info": {
"hash": "...",
"number": "..."
}
}
insert-fake-data
A tool that can be used to fill a table with random data. The script will generate the records using faker.
For example given the table as follows:
create table x.demo (
name string,
country string
);
The following command can be used to insert 1000 records:
>>> cr8 insert-fake-data --hosts localhost:4200 --table x.demo --num-records 1000
Found schema:
{
"country": "string",
"name": "string"
}
Using insert statement:
insert into x.demo ("country", "name") values (?, ?)
Will make 1 requests with a bulk size of 1000
Generating fake data and executing inserts
<BLANKLINE>
It will automatically read the schema from the table and map the columns to faker providers and insert the give number of records.
(Currently only top-level columns are supported)
insert-json
insert-json can be used to insert records from a JSON file:
>>> cat tests/demo.json | cr8 insert-json --table x.demo --hosts localhost:4200
Executing inserts: bulk_size=1000 concurrency=25
{
"max": ...,
"mean": ...,
"min": ...,
"n": 1
}
Or simply print the insert statement generated from a JSON string:
>>> echo '{"name": "Arthur"}' | cr8 insert-json --table mytable
('insert into mytable ("name") values (?)', ['Arthur'])
...
insert-blob
A tool to upload a file into a blob table:
>>> cr8 insert-blob --hosts localhost:4200 --table blobtable specs/sample.toml http://localhost:44200/_blobs/blobtable/433114a08ae9258c8a41ca74b57d0c8670bdece6
run-spec
A tool to run benchmarks against a cluster and store the result in another cluster. The benchmark itself is defined in a spec file which defines setup, benchmark and teardown instructions.
The instructions itself are just SQL statements (or files containing SQL statements).
In the specs folder is an example spec file.
Usage:
>>> cr8 run-spec specs/sample.toml localhost:44200 -r localhost:44200
Running setUp
Running benchmark
{
"concurrency": 2,
"iterations": 1000,
"statement": "select count(*) from countries"
}
{
"bulk_size": null,
"concurrency": 2,
"ended": ...,
"runtime_stats": {...
"started": ...
"statement": "select count(*) from countries",
"version_info": {
"hash": ...
"number": ...
}
}
<BLANKLINE>
Running tearDown
<BLANKLINE>
-r is optional and can be used to save the benchmark result into a cluster. The cluster must contain the table specified in sql/benchmarks_table.sql.
Writing spec files in python is also supported:
>>> cr8 run-spec specs/sample.py localhost:44200 Running setUp Running benchmark ...
run-crate
Launch a Crate instance:
> cr8 run-crate 0.55.0
This requires Java 8.
run-track
A tool to run .toml track files. A track is a matrix definition of node version, configurations and spec files.
For each version and configuration a Crate node will be launched and all specs will be executed.
>>> cr8 run-track tracks/sample.toml # Version: latest-testing ## Starting Crate latest-testing, configuration: default.toml ### Running spec file: sample.toml Running setUp Running benchmark ...
Development ☢
To get a sandboxed environment with all dependencies installed use venv:
python -m venv .venv source .venv/bin/activate
Install the cr8 package using pip:
python -m pip install -e .
Run cr8:
cr8 -h
Tests are run with python -m unittest
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