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    35. Readers

    Common properties of Readers

    If you’re interested in learning more about this subject, we offer the Advanced Tips for Using Reader Components course in our CloverDX Academy.

    Readers can read data from input files (both local and remote), receive it from the connected optional input port, read it from a dictionary, from a database, or from a JMS.

    One component only generates data. Since it is also an initial node, we will describe it here.

    Readers overview

    We can distinguish Readers according to what they can read:

    Generating data

    A DataGenerator component generates data.

    Reading flat files

    • FlatFileReader reads data from flat files (delimited or fixed length).

    • ParallelReader reads data from delimited flat files using more threads.

    • ComplexDataReader reads data from flat files whose structure is heterogeneous or mutually dependent and it uses a GUI to achieve that.

    • MultiLevelReader reads data from flat files with a heterogeneous structure.

    Reading XML files

    • XMLExtract reads data from XML files using SAX technology.

    • XMLReader reads data from XML files using DOM technology.

    • XMLXPathReader reads data from XML files using XPath queries.

    Generally, use XMLExtract. If you require a more complex XPath queries, use XMLReader.

    Reading JSON files

    • JSONExtract reads data from JSON files. Based on SAX.

    • JSONReader reads data from JSON files using XPath queries. Based on DOM.

    Reading EDI files

    • EDIFACTReader reads data from EDIFACT files. Based on SAX.

    • X12Reader reads data from X12 files. Based on SAX.

    • HL7Reader reads data from HL7v2 files. Based on SAX.

    Reading other files

    Reading databases

    Reading other resources

    • JMS messages:

      • JMSReader converts JMS messages into data records.

    • Directory structure:

      • LDAPReader converts directory structure into data records.

    • Email messages:

    • Kafka events:

      • KafkaReader reads events (messages) from a Kafka cluster.

      • KafkaCommit commits processed offsets for Kafka topics.