https://github.com/nicolewhite/neo4j-complaints

All information related to the LOAD CSV meetup / webinar.
https://github.com/nicolewhite/neo4j-complaints

Last synced: about 1 month ago
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All information related to the LOAD CSV meetup / webinar.

• Host: GitHub
• URL: https://github.com/nicolewhite/neo4j-complaints
• Owner: nicolewhite
• License: mit
• Created: 2014-11-11T02:49:37.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2020-03-07T11:58:44.000Z (almost 5 years ago)
• Last Synced: 2024-10-23T08:55:31.352Z (3 months ago)
• Homepage:
• Size: 199 KB
• Stars: 86
• Watchers: 14
• Forks: 40
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# consumer_complaints

This code accompanies the webinar [Using LOAD CSV in the Real World](http://watch.neo4j.org/video/112447027).

## Setup

* Download `Consumer_Complaints.csv` [here](http://catalog.data.gov/dataset/consumer-complaint-database). Note that your .csv file might have more rows than mine did; they appear to update the data regularly.

* Find the arrows tool [here](http://www.apcjones.com/arrows/#).

* [Sublime Text 2](http://www.sublimetext.com/2) (the editor used in the webinar) along with the [Cypher plugin](https://github.com/kollhof/sublime-cypher).

## Import

- Change line 1 of `load.cql` to point to the location of your `Consumer_Complaints.csv` file.

    - OSX and Unix: `file:///path/to/Consumer_Complaints.csv`

    - Windows: `file:C:/path/to/Consumer_Complaints.csv`

- Send `load.cql` to the `neo4j-shell`: `./bin/neo4j-shell -file load.cql`

**Important**

Note that this import was done on a 16GB machine. If you have less RAM and particularly if you are on Windows, please see these blog posts:

* http://jexp.de/blog/2014/06/load-csv-into-neo4j-quickly-and-successfully/

* http://www.markhneedham.com/blog/2014/10/23/neo4j-cypher-avoiding-the-eager/

* http://jexp.de/blog/2014/10/load-cvs-with-success/

Also note that in the original webinar, I split `Consumer_Complaints.csv` into separate files to deal with rows with empty strings. Since then, I've modified the script to only use `Consumer_Complaints.csv` but with empty strings filtered out for the subissues and subproducts:

```

FROM {FILEPATH} AS line

WITH line WHERE line.`Sub-issue` <> ''

```

```

FROM {FILEPATH} AS line

WITH line WHERE line.`Sub-product` <> ''

```

## Query

Run all the example queries:

```

./bin/neo4j-shell -file query.cql

```