https://github.com/mneedham/cypher-query-tuning

Mini test bench to time cypher queries
https://github.com/mneedham/cypher-query-tuning

Last synced: 12 days ago
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Mini test bench to time cypher queries

• Host: GitHub
• URL: https://github.com/mneedham/cypher-query-tuning
• Owner: mneedham
• Created: 2013-11-06T12:48:26.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2013-11-13T15:40:23.000Z (about 11 years ago)
• Last Synced: 2024-04-14T09:10:03.241Z (9 months ago)
• Language: Python
• Size: 203 KB
• Stars: 9
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
### Tuning them cypher queries

Install the following python libraries:

    pip install py2neo numpy

I'm using version 1.6 on py2neo so get that version if you can.

You'll also need to replace the following function in 'util.py' of py2neo in order that UTF-8 characters get handled correctly:

````python

def is_collection(obj):

    """ Returns true for any iterable which is not a string or byte sequence.

    """

    if isinstance(obj, bytes):

        return False

    try:

        iter(obj)

    except TypeError:

        return False

    try:

        if type(obj) is list:

            hasattr(None, obj)

        else:

            hasattr(None, obj.encode("utf-8"))

    except TypeError:

        return True

    return False

````    

The data set is on dropbox and you can download it with this command:

    curl -L https://www.dropbox.com/s/y4gp00gfryc9syx/football.zip -o football.zip

The zip contains the 'data' directory so you can unpack that into your neo4j folder:

	unzip football.zip -d /path/to/neo4j/

You can then run an example query which has been tuned:

    python top-away-scorers.py

    

    

    MATCH (game:Game)<-[:away_team]-(team)

    WITH game, team

    MATCH (player:Player)-[:played]->stats-[:in]->game, stats-[:for]->team

    RETURN player.name, SUM(stats.goals) AS goals

    ORDER BY goals DESC

    LIMIT 10

    Min 0.615420103073 Mean 0.618293762207 95% 0.622805333138 Max 0.623574018478

    MATCH (game)<-[:away_team]-(team:Team)

    WITH game, team

    MATCH (player:Player)-[:played]->stats-[:in]->game, stats-[:for]->team

    RETURN player.name, SUM(stats.goals) AS goals

    ORDER BY goals DESC

    LIMIT 10

    Min 0.57263302803 Mean 0.585222005844 95% 0.597485733032 Max 0.598978042603

#### Creating a new benchmark

This is the template to follow:

    import query_profiler as qp

    attempts = [

    {"query": '''MATCH (p:Player) RETURN COUNT(p)''', "params": {"define": "if you want"}},

    {"query": '''MATCH (player:Player) RETURN COUNT(player)'''},

    ]

    qp.profile(attempts, iterations=5, runs=3)

#### Stuck?

Ping me on twitter [@markhneedham](https://twitter.com/markhneedham) or [email protected]