pyingest

A script for loading CSV and JSON files into a Neo4j database written in Python3. It performs well due to several factors:

• Records are grouped into configurable-sized chunks before ingest
• For CSV files, we leverage the optimized CSV parsing capabilities of the Pandas library
• For JSON files, we use a streaming JSON parser (ijson) to avoid reading the entire document into memory

Installation

• You will need to have Python 3 and compatible version of Pip installed.
• Then run pip3 install -r requirements.txt to obtain dependencies
• If you do not have a yaml module installed, you may need to run pip3 install pyyaml

Usage

python3 ingest.py <config>

The config is a YAML file described below

How it works

• The configuration file is read into memory
• Any pre_ingest cypher statements are run
• File-based ingests (in the files stanza of config) are run
• Any post_ingest cypher statements are run
• NB - All values are read from the source file as strings. If you need a different type in the database, you should do the appropriate type conversion in the cypher ingest statement.

Configuration

The following parameters may be configured:

• server_uri: Address of Neo4j driver (required)
• admin_user: Username of Neo4j user (required)
• admin_pass: Password for Neo4j user (required)
• pre_ingest: List of cypher statements to be run before the file ingests
• post_ingest: List of cypher statements to be run after the file ingests
• files: Describes ingestion of a file - one stanza for each file. If a file needs to be processed more than once, just use it again in a separate stanza. Parameters for files are discussed below.

File ingest parameters

• url: Path to the file (required)
• cql: Cypher statement to be run (required)
• chunk_size: Number of records to batch together for ingest (Default: 1000)
• type: Type of file being ingested. (One of csv|json). This parameter is not required. If missing, the script will guess based on the file extension, defaulting to CSV.
• field_separator: (CSV only) Character separating values in a line of CSV. (Default: ,)
• compression: Type of compression used on file (One of gzip|zip|none) (Default: none)
• skip_file: If true, do not process this file. (One of true|false) (Default: false)
• skip_records: Skip specified number of records while ingesting the file. (Default: 0)

Additional info

The pyingest script is backed by an Integration Test suite written in Java that leverages the Neo4j test harness. Please see the javadoc on the IngestPyIT.java file for details about how this script is tested.