Update or evolve a materialized table
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Update or evolve a materialized table
with Confluent
Use Confluent: its Confluent Cloud Materialized Tables (sql/v1) API lets you update or 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 a materialized table's query, compute pool or columns?
- Is it possible to stop a materialized table without deleting it?
Say it to your AI assistant
- Evolve materialized table {table_name} in database {kafka_cluster_id}, env {environment_id}, org {organization_id} to spec {spec}.
- Stop materialized table {table_name} on cluster {kafka_cluster_id} in env {environment_id}, org {organization_id} by updating it.
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.