Neo4j batch import __types__ index for Spring Data

Question

I have a problem with initial data import to use Spring Data in future. I use Neo4j (CSV) Batch Importer (https://github.com/jexp/batch-import). The main problem is in '__types__' index usage. It seems that Spring Data uses 'className' as a key for that index, but the field is called '__type__'. I tried to declare field __type__:string:__types__, but it creates field __type__ and index __types__ with the same key (__type__) as the field name. Is it possible to set 'className' as a key for the index or to change Spring Data behavior to use '__type__' as index key?

Thank you.

Answer 1

Good question, right now it is not possible to have a different key for the index-field and type value in the compound approach

But you can specify a different index-file, see: and provide the file for the the types index with a column className and a value of the FQN.

• https://github.com/jexp/batch-import#explicit-indexing
• https://github.com/jexp/batch-import#examples-1