Solr optimize how long

An update is a single change request against a single Solr instance. It may be a request to delete a document, add a new document, change a document, delete all documents matching a query, etc. Updates are handled synchronously within an individual Solr instance.

A process that compacts the index and merges segments in order to improve query performance. Optimization should only be run on the master nodes. An optimized index may give query performance gains compared to an index that has become fragmented over a period of time with many updates.

Distributing an optimized index requires a much longer time than the distribution of new segments to an un-optimized index. A self contained subset of an index consisting of some documents and data structures related to the inverted index of terms in those documents. A parameter that controls the number of segments in an index. For example, when mergeFactor is set to 3, Solr will fill one segment with documents until the limit maxBufferedDocs is met, then it will start a new segment.

When the number of segments specified by mergeFactor is reached in this example, 3 then Solr will merge all the segments into a single index file, then begin writing new documents to a new segment. A directory containing hard links to the data files of an index. Snapshots are distributed from the master nodes when the slaves pull them, "smart copying" any segments the slave node does not have in snapshot directory that contains the hard links to the most recent index data files.

Before running a replication, you should set the following parameters on initialization of the handler:. String specifying action after which replication should occur. Valid values are commit, optimize, or startup. There can be multiple values for this parameter. String specifying action after which a backup should occur. It is not required for replication, it just makes a backup. Integer specifying how many backups to keep.

This can be used to delete all but the most recent N backups. If your commits are very frequent and your network is slow, you can tweak this parameter to increase the amount of time expected to be required to transfer data. The default is i. The example below shows a possible 'master' configuration for the ReplicationHandler , including a fixed number of backups and an invariant setting for the maxWriteMBPerSec request parameter to prevent slaves from saturating its network interface.

All other files will be saved with their original names. On the master server, the file name of the slave configuration file can be anything, as long as the name is correctly identified in the confFiles string; then it will be saved as whatever file name appears after the colon ':'. A master may be able to serve only so many slaves without affecting performance. Some organizations have deployed slave servers across multiple data centers.

If each slave downloads the index from a remote data center, the resulting download may consume too much network bandwidth. To avoid performance degradation in cases like this, you can configure one or more slaves as repeaters. A repeater is simply a node that acts as both a master and a slave.

To configure a server as a repeater, the definition of the Replication requestHandler in the solrconfig. Be sure to set the replicateAfter parameter to commit, even if replicateAfter is set to optimize on the main master. This is because on a repeater or any slave , a commit is called only after the index is downloaded.

The optimize command is never called on slaves. Optionally, one can configure the repeater to fetch compressed files from the master through the compression parameter to reduce the index download time.

When a commit or optimize operation is performed on the master, the RequestHandler reads the list of file names which are associated with each commit point. This relies on the replicateAfter parameter in the configuration to decide which types of events should trigger replication.

The slave continuously keeps polling the master depending on the pollInterval parameter to check the current index version of the master.

If the slave finds out that the master has a newer version of the index it initiates a replication process. The steps are as follows:. The slave issues a filelist command to get the list of the files. This command returns the names of the files as well as some metadata for example, size, a lastmodified timestamp, an alias if any. The slave checks with its own index if it has any of those files in the local index. It then runs the filecontent command to download the missing files.

This uses a custom format akin to the HTTP chunked encoding to download the full content or a part of each file. If the connection breaks in between, the download resumes from the point it failed.

At any point, the slave tries 5 times before giving up a replication altogether. Default is false. Valid for commit only. This parameter purges deleted data from segments. The default is false. Valid for optimize only. Optimize down to at most this number of segments. The default is 1. Update handlers can also get commit -related parameters as part of the update URL.

This example adds a small test document and causes an explicit commit to happen immediately afterwards:. This example adds a small test document with a commitWithin instruction that tells Solr to make sure the document is committed no later than 10 seconds later this method is generally preferred over explicit commits :. The commitWithin settings allow forcing document commits to happen in a defined time period.

This is used most frequently with Near Real Time Searching , and for that reason the default is to perform a soft commit. With this configuration, when you call commitWithin as part of your update message, it will automatically perform a hard commit every time. We welcome feedback on Solr documentation. However, we cannot provide application support via comments.

If you need help, please send a message to the Solr User mailing list. Toggle navigation Solr Ref Guide 7. Near Real Time Searching. Commits and Optimizing A commit operation makes index changes visible to new search requests. Soft commit takes uses two parameters: maxDocs and maxTime. Transaction Logs tlogs Transaction logs are a "rolling window" of at least the last N default documents indexed.

The various bits that need to be balanced include:. How does that work? While I can disagree with myself, I never lose the argument! Yes you do. TMP in Solr 7. This has some interesting consequences. Say you have optimized down to 1 segment and start indexing more docs that cause deletions to occur. This is no longer true. We strongly advise that you do not do these at all without seriously considering the consequences. A horrible anti-pattern is to do these operations from a client program on each commit.

In fact we discourage even issuing basic commits from a client program. Contact us today to learn how Lucidworks can help your team create powerful search and discovery applications for your customers and employees. Skip to Main Content.