Redis is an open-source, in-memory, non-relational data store known for its high performance and flexibility. It is widely used in a range of cases, such as real-time analysis, application cache, and session management. This makes it important to integrate data to Redis.
This tutorial delves into how to use BladePipe to move data from MySQL to Redis, including the following features:
BladePipe is a real-time end-to-end data replication tool, simplifying your data movement between diverse data sources, including databases, message queues, real-time data warehouses, etc.
By using the technique of Change Data Capture (CDC), BladePipe can track, capture and deliver data changes automatically and accurately with ultra-low latency, greatly improving the efficiency of data integration. It provides sound solutions for use cases requiring real-time data replication, fueling data-driven decision-making and business agility.
There are differences in the way of writing data to Redis sharded and non-sharded clusters.
BladePipe automatically identifies the cluster sharding of Redis by obtaining Redis parameters, and adjusts the data write method to run the Incremental DataJob.
It is allowed to set the cache expiration time when writing data to a Redis instance.
When creating a BladePipe DataJob, you can optionally set the expiration time (in seconds). The configuration takes effects automatically when a DataJob is running.
Follow the instructions in Install Worker (Docker) or Install Worker (Binary) to download and install a BladePipe Worker.
Select the tables to be replicated.
Note: Because the keys in Redis are composed of the primary keys of the source tables, it is not recommended to select the tables without a primary key.
Select the columns to be replicated. Filter the data if needed.
Confirm the creation.
Now the DataJob is created and started. BladePipe will automatically run the following DataTasks:
BladePipe writes data with JedisCluster, which automatically senses a master/standby switchover.
You can manually modify the node information of the DataJob configuration and restart the DataJob.
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