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## 36.3. Index Batch Insertion

For general notes on batch insertion, see Chapter 36, Batch Insertion.

Indexing during batch insertion is done using BatchInserterIndex which are provided via BatchInserterIndexProvider. An example:

    BatchInserter inserter = BatchInserters.inserter( "target/neo4jdb-batchinsert" );
    BatchInserterIndexProvider indexProvider =
            new LuceneBatchInserterIndexProvider( inserter );
    BatchInserterIndex actors =
            indexProvider.nodeIndex( "actors", MapUtil.stringMap( "type", "exact" ) );
    actors.setCacheCapacity( "name", 100000 );

    Map<String, Object> properties = MapUtil.map( "name", "Keanu Reeves" );
    long node = inserter.createNode( properties );
    actors.add( node, properties );

    //make the changes visible for reading, use this sparsely, requires IO!
    actors.flush();

    // Make sure to shut down the index provider as well
    indexProvider.shutdown();
    inserter.shutdown();

The configuration parameters are the same as mentioned in Section 35.10, “Configuration and fulltext indexes”.

### 36.3.1. Best practices

Here are some pointers to get the most performance out of `BatchInserterIndex`:

- Try to avoid flushing too often because each flush will result in all additions (since last flush) to be visible to the querying methods, and publishing those changes can be a performance penalty.
- Have (as big as possible) phases where one phase is either only writes or only reads, and don’t forget to flush after a write phase so that those changes becomes visible to the querying methods.
- Enable caching for keys you know you’re going to do lookups for later on to increase performance significantly (though insertion performance may degrade slightly).

| Note
Changes to the index are available for reading first after they are flushed to disk. Thus, for optimal performance, read and lookup operations should be kept to a minimum during batchinsertion since they involve IO and impact speed negatively.

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