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An optimize is like a hard commit except that it forces all of the index segments to be merged into a single segment first.
Depending on the use cases, this operation should be performed infrequently (like nightly), if at all, since it is very expensive and involves reading and re-writing the entire index.
Segments are normally merged over time anyway (as determined by the merge policy), and optimize just forces these merges to occur immediately.
Example: Solr3.4 This example adds a small test document with a Commit Within instruction which tells Solr to make sure the document is committed no later than 10 seconds later (this method is generally preferred over explicit commits): Delete by id deletes the document with the specified ID.
If the JVM crashes or there is a loss of power, changes that occurred after the last hard commit will be lost.
Search collections that have near-real-time requirements (that want index changes to be quickly visible to searches) will want to soft commit often but hard commit less frequently.
Example: less efficient than delete by id, because Solr has to do much of the commit logic each time it receives a delete by query request.
In Solr 1.3, however, most of the overhead will have been removed.
First, we need to load the XML document into memory.
Next, we iterate over the children of the root element and we show how to edit, add and remove elements or attributes in the Document.
The default setting is to notify on a weekly basis.