SmartStore is an indexer capability that provides a way to use remote object stores, such as Amazon S3, Google GCS, or Microsoft Azure Blob storage, to store indexed data.
As a deployment's data volume increases, demand for storage typically outpaces demand for compute resources. SmartStore allows you to manage your indexer storage and compute resources in a cost-effective manner by scaling those resources separately.
SmartStore introduces a remote storage tier and a cache manager. These features allow data to reside either locally on indexers or on the remote storage tier. Data movement between the indexer and the remote storage tier is managed by the cache manager, which resides on the indexer.
With SmartStore, you can reduce the indexer storage footprint to a minimum and choose I/O optimized compute resources. Most data resides on remote storage, while the indexer maintains a local cache that contains a minimal amount of data: hot buckets, copies of warm buckets participating in active or recent searches, and bucket metadata.
You can enable SmartStore for all indexes or for a subset of indexes.
SmartStore offers several advantages to the deployment's indexing tier:
- Reduced storage cost. Your deployment can take advantage of the economy of remote object stores, instead of relying on costly local storage.
- Access to high availability and data resiliency features available through remote object stores.
- The ability to scale compute and storage resources separately, thus ensuring that you use resources efficiently.
- Simple and flexible configuration with per-index settings.
- A bootstrapping capability that allows a new cluster or standalone indexer to inherit data from an old cluster or standalone indexer.
SmartStore offers additional advantages specific to deployments of indexer clusters:
- Fast recovery from peer failure and fast data rebalancing, requiring only metadata fixups for warm data.
- Lower overall storage requirements, as the system maintains only a single permanent copy of each warm bucket.
- Full recovery of warm buckets even when the number of peer nodes that goes down is greater than or equal to the replication factor.
- Global size-based data retention.
- Simplified upgrades.
An intelligent cache manager ensures that, for most search use cases, SmartStore provides similar performance to local storage configurations.
While SmartStore-enabled indexes can significantly decrease storage and management costs under the right circumstances, there are also times when you might find it preferable to continue to rely on local storage.
When to consider moving to SmartStore
SmartStore can help you to achieve significant costs savings for medium to large scale deployments. In particular, consider enabling SmartStore under these circumstances:
- As the amount of data in local storage continues to grow. While local storage costs might not be a significant issue for a small deployment, you should reconsider your use of local storage as your deployment scales over time.
- If you are using indexer clusters to take advantage of features such as data recovery and disaster recovery. Through SmartStore, you can achieve these aims through the native capabilities of the remote store, without the need to store large amounts of redundant data on local storage.
- If you are using indexer clusters and you find that considerable amounts of your time and your compute resources are devoted to managing the cluster. Through SmartStore, you can eliminate much of the cluster management overhead. In particular, you can greatly reduce the scale of time-consuming activities such as offlining peer nodes, data rebalancing, and bucket fixup, because most of the data no longer resides on the peer nodes.
- When most searches are over recent data.
When not to move to SmartStore
There are a few situations where local storage might be a better choice:
- If you have a small deployment, with limited amounts of stored data, the advantages of SmartStore might not compensate for the costs of setting up and maintaining a remote store.
- If you have frequent need to run rare searches, SmartStore might not be appropriate for your purposes, as rare searches can require the indexer to copy large amounts of data from remote to local storage, causing a performance impact. This is particularly the case with searches that cover long timespans. If, however, the searches are across recent data and thus the necessary buckets are already in the cache, then there is no performance impact.
- If you run frequent long lookback searches, you might need to increase your cache size or continue to rely on local storage.
Features not supported by SmartStore
The following capabilities are not available for SmartStore-enabled indexes. Their corresponding settings must use their default values.
- Tsidx reduction. Do not set
enableTsidxReductionto "true". Tsidx reduction modifies bucket contents and is not supported by SmartStore. Note: You can still search any existing buckets that were tsidx-reduced before migration to SmartStore. As with non-SmartStore deployments such searches will likely run slowly. See Reduce tsidx disk usage.
- Data integrity control feature. SmartStore-enabled indexes are not compatible with the data integrity control feature, described in Manage data integrity in the Securing Splunk Enterprise manual.
- Disabling Bloom filters. Do not set
createBloomfilterto "false". Bloom filters play an important role in SmartStore by helping to reduce downloads of tsidx files from remote storage.
- Changing the location of Bloom filters. Do not change
bloomHomePath. Bloom filters must remain in their default locations inside their bucket directories.
- Summary replication. Summary replication is unnecessary with SmartStore, because summaries are uploaded to remote storage after creation and are accessible to all peers in the cluster.
- Hadoop data roll.
- Certain other
indexes.confsettings are incompatible with SmartStore. See Settings in indexes.conf that are incompatible with SmartStore or otherwise restricted
Current restrictions on SmartStore use
At this time, SmartStore support requires that your indexing tier conform to certain restrictions:
- With indexer clusters, replication factor and search factor must be equal (for example, 3/3 or 2/2).
- The home path and cold path of each index must point to the same partition.
- Certain other
indexes.confsettings are restricted with SmartStore. See Settings in indexes.conf that are incompatible with SmartStore or otherwise restricted
- A SmartStore-enabled index cannot be converted to non-SmartStore.
- For multisite clusters, if any SmartStore indexes use report acceleration or data model acceleration, you must disable search affinity by setting all search heads to site0. See Implement search affinity in a multisite indexer cluster.
SmartStore and Splunk Enterprise Security
SmartStore is compatible with Splunk Enterprise Security versions 5.3.0 and later.
For SmartStore use with Splunk Enterprise Security, confirm that you have enough local storage available to accommodate 90 days of indexed data, instead of the 30 days otherwise recommended. See Local storage requirements.
What happens when the manager node goes down
SmartStore architecture overview
This documentation applies to the following versions of Splunk® Enterprise: 9.0.0