While the LdifParser can be employed by any application that requires parsing of LDIF files, Spring offers a batch processing framework that offers many file processing utilities for parsing delimited files such as CSV. The org.springframework.ldap.ldif.batch package offers the classes necessary for using the LdifParser as a valid configuration option in the Spring Batch framework.
There are 5 classes in this package which offer three basic use cases:
Use Case 1: Read LDIF records from a file and return an LdapAttributes object.
Use Case 2: Read LDIF records from a file and map records to Java objects (POJOs).
Use Case 3: Write LDIF records to a file.
The first use case is accomplished with the LdifReader. This class extends Spring Batch's AbstractItemCountingItemSteamItemReader and implements its ResourceAwareItemReaderItemStream. It fits naturally into the framework and can be used to read LdapAttributes objects from a file.
The MappingLdifReader can be used to map LDIF objects directly to any POJO. This class requires an implementation of the RecordMapper interface be provided. This implementation should implement the logic for mapping objects to POJOs.
The RecordCallbackHandler can be implemented and provided to either reader. This handler can be used to operate on skipped records. Consult the Spring Batch documentation for more information.
The last member of this package, the LdifAggregator, can be used to write LDIF records to a file. This class simply invokes the toString() method of the LdapAttributes object.