Zingg-0.3.4
  • Welcome to Zingg
  • Step-By-Step Guide
    • Installation
      • Docker
        • Sharing custom data and config files
        • Shared locations
        • File read/write permissions
        • Copying Files To and From the Container
      • Installing From Release
        • Single Machine Setup
        • Spark Cluster Checklist
        • Installing Zingg
        • Verifying The Installation
      • Compiling From Source
    • Hardware Sizing
    • Zingg Runtime Properties
    • Zingg Command Line
    • Configuration
      • Configuring Through Environment Variables
      • Data Input and Output
        • Input Data
        • Output
      • Field Definitions
      • Model Location
      • Tuning Label, Match And Link Jobs
      • Telemetry
    • Working With Training Data
      • Finding Records For Training Set Creation
      • Labeling Records
      • Find And Label
      • Using pre-existing training data
      • Updating Labeled Pairs
      • Exporting Labeled Data
    • Building and saving the model
    • Finding the matches
    • Linking across datasets
  • Data Sources and Sinks
    • Zingg Pipes
    • Snowflake
    • JDBC
      • Postgres
      • MySQL
    • Cassandra
    • MongoDB
    • Neo4j
    • Parquet
    • BigQuery
  • Working With Python
  • Running Zingg on Cloud
    • Running on AWS
    • Running on Azure
    • Running on Databricks
  • Zingg Models
    • Pre-trained models
  • Improving Accuracy
    • Ignoring Commonly Occuring Words While Matching
    • Defining Domain Specific Blocking And Similarity Functions
  • Documenting The Model
  • Interpreting Output Scores
  • Reporting bugs and contributing
    • Setting Zingg Development Environment
  • Community
  • Frequently Asked Questions
  • Reading Material
  • Security And Privacy
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Last updated 2 years ago

Check a step-by-step tutorial at .

The config value for the data and output attributes of the JSON is:

One must include Snowflake JDBC driver and Spark dependency on the classpath. The jars can be downloaded from the maven repository (, ).

For Zingg to discover the Snowflake jars, please add the property spark.jars in

PreviousZingg PipesNextJDBC
  1. Data Sources and Sinks

Snowflake

Instructions to work with Snowflake

Towards Data Science
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spark.jars=snowflake-jdbc-3.13.18.jar,spark-snowflake_2.12-2.10.0-spark_3.1.jar
Zingg's runtime properties.
 "data" : [ {
			"name":"test", 
			"format":"net.snowflake.spark.snowflake", 
			"props": {
				"sfUrl": "rfa59271.snowflakecomputing.com",
				"sfUser": "sonalgoyal",
				"sfPassword":"ZZ",					
				"sfDatabase":"TEST",				
				"sfSchema":"PUBLIC",					
				"sfWarehouse":"COMPUTE_WH",
				"dbtable": "FEBRL",
				"application":"zingg_zingg"			
			}
		} ]