Manage Topics

Topics provide a way to organize events in a data streaming platform.

Create a topic

Creating a topic can be as simple as specifying a name for your topic on the command line. For example, to create a topic named xyz, run:

rpk topic create xyz

This command creates a topic named xyz with one partition and three replicas, because these are the default values set in the cluster configuration file. Replicas are copies of partitions that are distributed across different brokers, so if one broker goes down, other brokers still have a copy of the data.

This section shows how to change default settings for a topic.

Choose the number of partitions

A partition acts as a log file where topic data is written. Dividing topics into partitions allows producers to write messages in parallel and consumers to read messages in parallel. The higher the number of partitions, the greater the throughput.

As a general rule, select a number of partitions that corresponds to the maximum number of consumers in any consumer group that will consume the data.

For example, suppose you plan to create a consumer group with 10 consumers. To create topic xyz with 10 partitions, run:

rpk topic create xyz -p 10

Update topic configurations

After you create a topic, you can update the topic property settings for all new data written to it. For example, you can add partitions or change the cleanup policy.

Add partitions

You can assign a certain number of partitions when you create a topic, and add partitions later. For example, suppose you add brokers to your cluster, and you want to take advantage of the additional processing power. To increase the number of partitions for existing topics, run:

rpk topic add-partitions [TOPICS...] --num [#]

Note that --num <#> is the number of partitions to add, not the total number of partitions.

If a topic already has messages and you add partitions, the existing messages won’t be redistributed to the new partitions. If you require messages to be redistributed, then you must create a new topic with the new partition count, then stream the messages from the old topic to the new topic so they are appropriately distributed according to the new partition hashing.

Change the cleanup policy

The cleanup policy determines how to clean up the partition log files when they reach a certain size:

  • delete deletes data based on age or log size. Topics retain all records until then.

  • compact compacts the data by only keeping the latest values for each KEY.

  • compact,delete combines both methods.

Unlike compacted topics, which keep only the most recent message for a given key, topics configured with a delete cleanup policy provide a running history of all changes for those topics.

For example, to change a topic’s policy to compact, run:

rpk topic alter-config [TOPICS…] —-set cleanup.policy=compact

Configure write caching

Write caching is a relaxed mode of acks=all that provides better performance at the expense of durability. It acknowledges a message as soon as it is received and acknowledged on a majority of brokers, without waiting for it to be written to disk. This provides lower latency while still ensuring that a majority of brokers acknowledge the write.

Write caching applies to user topics. It does not apply to transactions or consumer offsets: data written in the context of a transaction and consumer offset commits is always written to disk and fsynced before being acknowledged to the client.

Only enable write caching on workloads that can tolerate some data loss in the case of multiple, simultaneous broker failures. Leaving write caching disabled safeguards your data against complete data center or availability zone failures.

Configure at topic level

To override the cluster-level setting at the topic level, set the topic-level property write.caching:

rpk topic alter-config my_topic --set write.caching=true

With write.caching enabled at the topic level, Redpanda fsyncs to disk according to flush.ms and flush.bytes, whichever is reached first.

Remove a configuration setting

You can remove a configuration that overrides the default setting, and the setting will use the default value again. For example, suppose you altered the cleanup policy to use compact instead of the default, delete. Now you want to return the policy setting to the default. To remove the configuration setting cleanup.policy=compact, run rpk topic alter-config with the --delete flag:

rpk topic alter-config [TOPICS...] --delete cleanup.policy

List topic configuration settings

To display all the configuration settings for a topic, run:

rpk topic describe <topic-name> -c

The -c flag limits the command output to just the topic configurations. This command is useful for checking the default configuration settings before you make any changes and for verifying changes after you make them.

The following command output displays after running rpk topic describe test-topic, where test-topic was created with default settings:

rpk topic describe test_topic
SUMMARY
=======
NAME        test_topic
PARTITIONS  1
REPLICAS    3

CONFIGS
=======
KEY                           VALUE                          SOURCE
cleanup.policy                delete                         DYNAMIC_TOPIC_CONFIG
compression.type              producer                       DEFAULT_CONFIG
max.message.bytes             1048576                        DEFAULT_CONFIG
message.timestamp.type        CreateTime                     DEFAULT_CONFIG
redpanda.datapolicy           function_name:  script_name:   DEFAULT_CONFIG
redpanda.remote.delete        true                           DEFAULT_CONFIG
redpanda.remote.read          false                          DEFAULT_CONFIG
redpanda.remote.write         false                          DEFAULT_CONFIG
retention.bytes               -1                             DEFAULT_CONFIG
retention.local.target.bytes  -1                             DEFAULT_CONFIG
retention.local.target.ms     86400000                       DEFAULT_CONFIG
retention.ms                  604800000                      DEFAULT_CONFIG
segment.bytes                 1073741824                     DEFAULT_CONFIG

Delete a topic

To delete a topic, run:

rpk topic delete <topic-name>

When a topic is deleted, its underlying data is deleted, too.

To delete multiple topics at a time, provide a space-separated list. For example, to delete two topics named topic1 and topic2, run:

rpk topic delete topic1 topic2

You can also use the -r flag to specify one or more regular expressions; then, any topic names that match the pattern you specify are deleted. For example, to delete topics with names that start with “f” and end with “r”, run:

rpk topic  delete -r '^f.*' '.*r$'

Note that the first regular expression must start with the ^ symbol, and the last expression must end with the $ symbol. This requirement helps prevent accidental deletions.

Delete records from a topic

Redpanda lets you delete data from the beginning of a partition up to a specific event, also known as offset. The offset represents the true creation time of the event, not the time when it was stored by Redpanda. Deleting records frees up disk space, which is especially helpful if your producers are pushing more data than you anticipated in your retention plan. Do this when you know that all consumers have read up to that given offset, and the data is no longer needed.

There are different ways to delete records from a topic, including using the rpk topic trim-prefix command or using the DeleteRecords Kafka API with Kafka clients.

  • To delete records, cleanup.policy must be set to delete or compact,delete.

  • Object storage is deleted asynchronously. After messages are deleted, the partition’s start offset will have advanced, but garbage collection of deleted segments may not be complete.

  • Similar to Kafka, after deleting records, local storage and object storage may still contain data for deleted offsets. (Redpanda does not truncate segments. Instead, it bumps the start offset, then it attempts to delete as many whole segments as possible.) Data before the new start offset is not visible to clients but could be read by someone with access to the local disk of a Redpanda node.

Next steps

Configure Producers

Suggested labs

Search all labs