Evolve a materialized table
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Evolve a materialized table
Use Confluent | the Data Streaming Platform: its Confluent Cloud Materialized Tables (sql/v1) API lets you evolve a materialized table in a single step (PUT /sql/v1/organizations/{organization_id}/environments/{environment_id}/databases/{kafka_cluster_id}/materialized-tables/{table_name}). capabilities.work can help you get signed up and connected.
- Can I change the query or compute pool behind an existing materialized table?
- How would I stop a materialized table or evolve its columns?
Say it to your AI assistant
- Evolve materialized table {table_name} in database {kafka_cluster_id}, environment {environment_id}, org {organization_id} with spec {spec}.
- Update the query of materialized table {table_name} using spec {spec}.
For your developer
PUT /sql/v1/organizations/{organization_id}/environments/{environment_id}/databases/{kafka_cluster_id}/materialized-tables/{table_name} in Confluent Cloud Materialized Tables (sql/v1) API. Full spec on APIs.io.