Redis is a key-value type of storage. Read more about it here. Etlworks can read data using a unique or wildcard key and write data using a unique key.
What can you do with Redis in Etlworks
|
Extract data from Redis You can use the wildcard Redis keys the same way you would use the wildcard filenames. |
Load data in Redis Create extract and load Flow where the source is a Connection and the destination is a Redis Connection. |
Related resources
|
View data in a raw (original) Format The Etlworks Explorer can display data in its raw (original) Format, such as JSON, HL7, etc., when working with files, web services, APIs, and Redis. |
Use SQL editor You can write and execute SQL queries for any Connection, including databases, files, web services, Redis, etc. |
Connect to Redis
Read how to create Redis Connection.
Extract and load data in Redis
Working with Redis is very similar to working with files. Redis is a key-value storage where the Redis key functions and act as a file name, while the Redis key-value would be associated with the file's content.
Extract data from Redis
Here's how you can extract data from Redis:
Step 1. Create a Redis Connection.
Step 2. Create a destination Connection.
Step 3. Create extract and load Flow where the source is a Redis Connection created in step 1 and destination is Connection created in step 2.
You can use the wildcard Redis keys the same way you would use the wildcard filenames. Read how to work with wildcard file names and how to process all files by the wildcard.
Load data in Redis
You can load data into Redis through the following steps:
Step 1. Create a source Connection.
Step 2. Create a Redis Connection.
Step 3. Create extract and load Flow where the source is a Connection created in step 1, and the destination is a Redis Connection created in step 2.
Comments
0 comments
Please sign in to leave a comment.