Metadata-Version: 1.2
Name: cr8
Version: 0.9.3
Summary: A collection of command line tools for crate devs
Home-page: https://github.com/mfussenegger/cr8
Author: Mathias Fußenegger
Author-email: pip@zignar.net
License: UNKNOWN
Description: ===
        cr8
        ===
        
        .. image:: https://travis-ci.org/mfussenegger/cr8.svg?branch=master
            :target: https://travis-ci.org/mfussenegger/cr8
            :alt: travis-ci
        
        .. image:: https://img.shields.io/pypi/wheel/cr8.svg
            :target: https://pypi.python.org/pypi/cr8/
            :alt: Wheel
        
        .. image:: https://img.shields.io/pypi/v/cr8.svg
           :target: https://pypi.python.org/pypi/cr8/
           :alt: PyPI Version
        
        .. image:: https://img.shields.io/pypi/pyversions/cr8.svg
           :target: https://pypi.python.org/pypi/cr8/
           :alt: Python Version
        
        A collection of command line tools for `Crate
        <https://github.com/crate/crate>`_ developers (and maybe users as well).
        
        TOC
        ====
        
        - `Why cr8? 🤔`_
        - `Install 💾`_
        - `Usage`_
        - `Sub-commands`_
            - `timeit 🕐`_
            - `insert-fake-data`_
            - `insert-json`_
            - `insert-blob`_
            - `run-spec`_
            - `run-crate`_
            - `run-track`_
        - `Development ☢`_
        
        
        Why cr8? 🤔
        ===========
        
        1. To quickly produce sample data. Often if someone reports an issue sample
           data is required to be able to reproduce it.
           `insert-fake-data`_ and `insert-json`_ address this problem.
        
        2. To benchmark queries & compare runtime across Crate versions.  `timeit 🕐`_,
           `run-spec`_ and `run-track`_ can be used to get runtime statistics of
           queries.
           These tools focus on response latencies. Being able to benchmark throughput
           is NOT a goal of cr8.  Similarly, being able to simulate real-world use
           cases is also NOT a goal of cr8.
        
        
        
        .. note::
        
            Although most commands output text by default. Most take a ``--output-fmt
            json`` argument to output JSON.
            This is very useful if used together with `jq`_ to post-process the output
        
        
        Install 💾
        ==========
        
        Python >= 3.5.1 is required to use the command line tools.
        
        Install them using `pip <https://pip.pypa.io/en/stable/>`_::
        
            python3.5 -m pip install --user cr8
        
        (Users of Python 3.5.0 might run into `this AssertionError
        <http://bugs.python.org/issue25233>`_.)
        
        
        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
            Runtime (in ms):
                mean:    ... ± ...
                min/max: ... → ...
            Percentile:
                50:   ... ± ... (stdev)
                95:   ...
                99.9: ...
        
        
        insert-fake-data
        ----------------
        
        A tool that can be used to fill a table with random data. The script will
        generate the records using `faker <https://github.com/joke2k/faker>`_.
        
        For example given the table as follows::
        
            create table x.demo (
                id int,
                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 200
            Found schema: 
            {
                "country": "string",
                "id": "integer",
                "name": "string"
            }
            Using insert statement: 
            insert into "x"."demo" ("country", "id", "name") values (?, ?, ?)
            Will make 1 requests with a bulk size of 200
            Generating fake data and executing inserts
            <BLANKLINE>
        
        
        It will automatically read the schema from the table and map the columns to
        faker `providers
        <http://fake-factory.readthedocs.org/en/latest/providers.html>`_ 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
            Runtime (in ms):
                mean:    ... ± 0.000
        
        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/2917773e74ff46d08f399435ed9b99afb9ed34bd
        
        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
            <BLANKLINE>
            ## Running Query:
               Statement: select count(*) from countries
               Concurrency: 2
               Iterations: 100
            Runtime (in ms):
                mean:    ... ± ...
                min/max: ... → ...
            Percentile:
                50:   ... ± ... (stdev)
                95:   ...
                99.9: ...
            ...
            ## Skipping (Version ...
               Statement: ...
            # Running tearDown
            <BLANKLINE>
        
        `-r` is optional and can be used to save the benchmark result into a cluster.
        A table named `benchmarks` will be created if it doesn't exist.
        
        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``
        
        .. _jq: https://stedolan.github.io/jq/
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.5
