Manage Disk Space
Redpanda provides several ways to manage disk space to ensure the production stability of the cluster. You can:
Configure message retention and a log cleanup policy.
Configure storage threshold properties, and set up alerts to notify you when free disk space reaches a certain threshold.
Use Continuous Data Balancing to automatically distribute partitions across nodes for more balanced disk usage.
Create a ballast file to act as a buffer against an out-of-disk outage.
If free disk space reaches a critically low level, Redpanda blocks clients from producing.
When a Redpanda node runs out of disk space, it terminates. This causes leader reassignment and then replication and rebalancing, impacting performance. If more nodes in the cluster fill up and terminate, traffic concentrates in fewer nodes, also impacting performance.
By default, all topics on self-hosted Redpanda clusters keep the last 24 hours of data on local disk. Redpanda Cloud keeps the last 12 hours of data. However, if data is written fast enough to consume all disk space within the local retention time period, it’s possible to exhaust local disk space, even when using Tiered Storage. You can adjust the default local storage size or time period, if required.
Retention properties control how long messages are kept on disk before they’re deleted or compacted. Setting message retention properties is the best way to prevent old messages from accumulating on disk to the point that the disk becomes full. You can configure retention properties to delete messages based on the following conditions:
Message age is exceeded.
Aggregate message size in the topic is exceeded.
Either message age or aggregate message size in the topic is exceeded.
Set retention properties at the topic level or the cluster level. If a value isn’t specified for the topic, then the topic uses the value for the cluster. Note that cluster-level property names use snake-case, while topic-level properties use dots.
(overrides cluster configuration)
Time-based (with Tiered Storage enabled)
Size-based (with Tiered Storage enabled)
Data expires from object storage following
retention.bytes. For example, if
retention.bytes is set to 10 GiB, then every partition in the topic has a limit of 10 GiB storage in the cloud. When
retention.bytes is exceeded by data in object storage, the data in object storage is trimmed. With Tiered Storage enabled, data expires from local storage following
Based on these properties, Redpanda runs a log cleanup process in the background. If you start to run out of disk space, adjust your retention properties to reduce the amount of disk space used.
A message is deleted if its age exceeds the value specified in
delete_retention_ms (the cluster-level property) or
retention.ms (the topic-level property). If
retention.ms is not set at the topic level, the topic inherits the
Time-based retention is calculated from the batch timestamp in a segment. Each segment index stores the timestamp. The timestamp policy can be either
CreateTime (client timestamp set by producer) or
AppendTime (server timestamp set by Redpanda). Segments are closed when partition leadership changes or when the segment size limit is reached.
To set retention time for a single topic, use
retention.ms, which overrides
retention.ms- Topic-level property that specifies how long a message stays on disk before it’s deleted.
To minimize the likelihood of out-of-disk outages, set
86400000, which is one day. There is no default.
rpk topic alter-config <topic> --set retention.ms=<retention_time>
delete_retention_ms- Cluster-level property that specifies how long a message stays on disk before it’s deleted.
To minimize the likelihood of out-of-disk outages, set
86400000, which is one day. The default is
604800000, which is one week.
Do not set
-1 unless you’re using remote write with Tiered Storage to upload segments to object storage. Setting it to
-1 configures indefinite retention, which can fill disk space.
A message is deleted if the size of the partition in which it is contained reaches the value specified in
retention.bytes. When a partition reaches that value, the oldest messages in the partition are deleted.
To set retention size for a single topic, use
retention.bytes, which overrides the cluster property
retention.bytes is not set at the topic-level, the topic inherits the cluster-level setting.
retention.bytes- Topic-level property that specifies the maximum size of a partition. There is no default.
rpk topic alter-config <topic> --set retention.bytes=<retention_size>
retention_bytes- Cluster-level property that specifies the maximum size of a partition.
Set this to a value that is lower than the disk capacity, or a fraction of the disk capacity based on the number of partitions per topic. For example, if you have one partition,
retention_bytescan be 80% of the disk size. If you have 10 partitions, it can be 80% of the disk size divided by 10. The default is
null, which means that retention based on topic size is disabled.
rpk cluster config set retention_bytes <retention_size>
log_segment_size property specifies the size of each log segment.
rpk cluster config set log_segment_size <segment_size>
If you know which topics will receive more data, it’s best to specify the size for each topic.
To configure log segment size on a topic:
rpk topic alter-config <topic> --set segment.bytes=<segment_size>
Compaction, or key-based retention, saves space by retaining at least the most recent value for a message key within a topic partition’s log and discarding older values. Compaction runs periodically in the background in a best effort fashion, and it doesn’t guarantee that there are no duplicate values per key.
When compaction is configured, topics take their size from
log_segment_size property does not apply to compacted topics.
segment.bytes size on a topic applies whether the topic is compacted or not, and the
max_compacted_log_segment_size property applies to compacted topics regardless of any other properties. The
max_compacted_log_segment_size property controls how many segments are merged together. For example, if you set
segment.bytes to 128 MB, but leave
max_compacted_log_segment_size at 5 GB, then you get 128 MB segments when they’re written, but up to 5 GB segments after compaction.
Redpanda periodically performs compaction in the background. The compaction period is configured by the cluster property log_compaction_interval_ms.
Keep in mind that very large segments delay, or possibly prevent, compaction. A very large active segment cannot be cleaned up or compacted until it is closed, and very large closed segments require significant memory and CPU to process for compaction. Very small segments increase the frequency of processing for applying compaction and resource limits. To calculate an upper limit on segment size, divide the disk size by the number of partitions. For example, if you have a 128 GB disk and 1000 partitions, the upper limit of the segment size is
134217728. Default is
For details about how to modify cluster configuration properties, see Cluster configuration.
Writing data for a topic usually spans multiple log segments. An active segment of a topic is a log segment that is being written to. As data of a topic is written and an active segment becomes full (reaches
log_segment_size), it’s closed and changed to read-only mode, and a new segment is created, set to read-write mode, and becomes the active segment. Log rolling is the rotation between segments to create a new active segment.
Log rolling can also be triggered by configurable timeouts. This is useful when topic retention limits need to be applied within a known fixed duration. A log rolling timeout starts from the first write to an active segment. When a timeout elapses before the segment is full, the segment is rolled. The timeouts are configured with cluster-level and topic-level properties:
log.roll.ms) is a cluster property that configures the default segment rolling timeout for all topics of a cluster.
log_segment_msfor all topics of a cluster for a duration in milliseconds:
rpk cluster config set log_segment_ms <segment_ms_duration>
segment.msis a topic-level property that configures the default segment rolling timeout for one topic. It’s not set by default. If set, it overrides
segment.msfor a topic:
rpk topic alter-config <topic> --set segment.ms=<segment_ms_duration>
If you exceed your low disk space threshold, Redpanda blocks clients from producing. In that state, Redpanda returns errors to external writers, but it still allows internal write traffic, such as replication and rebalancing.
storage_min_free_bytes tunable configuration property sets the low disk space threshold—the hard limit—for this write rejection. The default value is 5 GiB, which means that when any broker’s free space falls below 5 GiB, Redpanda rejects writes to all brokers.
You can also set a soft limit for a minimum free disk space alert. This soft limit generates an error message and affects the value of the
redpanda_storage_disk_free_space_alert metric. The alert works with the following configuration properties, which you can set on any data disk (one drive per node):
Minimum free disk space allowed, in bytes.
Minimum free disk space allowed, in percentage of total available space for that drive.
|The alert threshold can be set in either bytes or percentage of total space. To disable one threshold in favor of the other, set it to zero.
When a disk exceeds the set threshold,
redpanda_storage_disk_free_space_alert updates, and an error message is written to the Redpanda service log.
You can check your total disk size and free space by viewing the metrics:
Redpanda monitors disk space and updates these metrics and the
storage_space_alert status based on your full disk alert threshold. You can check the alert status with the
redpanda_storage_disk_free_space_alert metric. The alert values are:
0 = No alert
1 = Low free space alert
2 = Out of space (degraded, external writes are rejected)
A ballast file is an empty file that takes up disk space. If Redpanda runs out of disk space and becomes unavailable, you can delete the ballast file as a last resort. This clears up some space and gives you time to delete topics or records and change your retention properties.
To create a ballast file, set the following properties in the rpk section of the
rpk to create the ballast file:
rpk redpanda tune ballast_file
You can change the location of the ballast file, but it must be on the same mount point as the Redpanda data directory. Default is
Increase the ballast file size if it is a very high-throughput cluster. Decrease the ballast file size if you have very little storage space. The ballast file should be large enough to give you time to delete data and reconfigure retention properties if Redpanda crashes, but small enough that you don’t waste disk space. In general, set this to approximately 10 times the size of the largest segment, to have enough space to compact that topic. Default is