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Copy file name to clipboardExpand all lines: modules/ROOT/pages/feasibility-checklists.adoc
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@@ -128,7 +128,7 @@ This means that any keyspace that your client application uses must exist on bot
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However, the keyspaces can have different replication strategies and durable write settings.
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At the column level, the schema doesn't need to be a one-to-one match as long as the CQL statements can be executed successfully on both clusters.
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For example, if a table has 10 columns, and your client application uses only five of those columns, then you can recreate the table on the target cluster with only the five required columns.
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For example, if a table has 10 columns, and your client application uses only five of those columns, then you can re-create the table on the target cluster with only the five required columns.
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However, the data from the other columns won't be migrated to the target cluster if those columns don't exist on the target cluster.
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Before you decide to omit a column from the target cluster, make sure that it is acceptable to permanently lose that data after the migration.
The rolling restart playbook recreates each {product-proxy} container, one by one.
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The rolling restart playbook re-creates each {product-proxy} container, one by one.
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The {product-proxy} deployment remains available at all times, and you can safely use it throughout this operation.
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If you modified mutable configuration variables, the new containers use the updated configuration files.
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The playbook performs the following actions automatically:
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. {product-automation} stops one container gracefully, and then waits for it to shut down.
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. {product-automation} recreates the container, and then starts it.
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. {product-automation} re-creates the container, and then starts it.
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. {product-automation} calls the xref:ROOT:metrics.adoc#call-the-liveliness-and-readiness-endpoints[readiness endpoint] to check the container's status:
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* If the status check fails, {product-automation} repeats the check up to six times at 5-second intervals.
You can re-run the deployment playbook as many times as necessary.
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However, this playbook decommissions and recreates _all_ {product-proxy} instances simultaneously.
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However, this playbook decommissions and re-creates _all_ {product-proxy} instances simultaneously.
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This results in a brief period of time where the entire {product-proxy} deployment is offline because no instances are available.
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For more information, see xref:ROOT:troubleshooting-tips.adoc#configuration-changes-arent-applied-by-zdm-automation[Configuration changes aren't applied by {product-automation}].
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== Upgrade the proxy version
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The same playbook that you use for configuration changes can also be used to upgrade the {product-proxy} version in a rolling fashion.
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All containers are recreated with the given image version.
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All containers are re-created with the given image version.
Copy file name to clipboardExpand all lines: modules/ROOT/pages/setup-ansible-playbooks.adoc
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@@ -24,7 +24,7 @@ This infrastructure can be on-premise or in any cloud provider of your choice.
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If your {product-proxy} machines use private IPs, which are recommended for production deployments, configure these before running {product-utility}.
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If you enable private IPs later, you must reconfigure and redeploy your {product-proxy} instances.
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This is a disruptive operation that requires a small amount of downtime because the deployment playbook decommissions and recreates all {product-proxy} containers simultaneously.
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This is a disruptive operation that requires a small amount of downtime because the deployment playbook decommissions and re-creates all {product-proxy} containers simultaneously.
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* https://docs.docker.com/engine/install/#server[Install Docker] on the machine that will run the Ansible Control Host container, and ensure that the `docker` command https://docs.docker.com/engine/install/linux-postinstall/#manage-docker-as-a-non-root-user[doesn't require superuser privileges].
Copy file name to clipboardExpand all lines: modules/sideloader/pages/migrate-sideloader.adoc
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@@ -184,7 +184,7 @@ Snapshots have a specific directory structure, such as `*KEYSPACE_NAME*/*TABLE_N
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[#record-schema]
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== Configure the target database
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To prepare your target database for the migration, you must record the schema for each table in your origin cluster that you want to migrate, recreate these schemas in your target database, and then set environment variables required to connect to your database.
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To prepare your target database for the migration, you must record the schema for each table in your origin cluster that you want to migrate, re-create these schemas in your target database, and then set environment variables required to connect to your database.
Copy file name to clipboardExpand all lines: modules/sideloader/pages/troubleshoot-sideloader.adoc
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@@ -89,7 +89,7 @@ There are two reasons you might need to do this:
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** The origin and target schemas don't match.
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** The migration reached a point that some data was loaded to the target database.
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This is unlikely, but, if this happens, you must xref:astra-db-serverless:databases:manage-collections.adoc#delete-a-table-in-the-astra-portal[drop the table] from your target database, and then recreate the table in the target database.
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This is unlikely, but, if this happens, you must xref:astra-db-serverless:databases:manage-collections.adoc#delete-a-table-in-the-astra-portal[drop the table] from your target database, and then re-create the table in the target database.
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In this case, if the migration _didn't_ fail due to a problem with the snapshot data, you can potentially reuse the existing snapshots for the new migration.
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