Visual schema design to serialize data in columnar format. Apache Parquet is a binary file format that stores data in a columnar fashion for compressed, efficient columnar data representation in the Hadoop ecosystem, and in cloud-based analytics.
The default Kafka message format can be overridden by parameter such as /Xml, /Csv, /Avro, /Json or /Parquet. A custom format can be used using /CaptureConverter or /IntegrateConverter . Many parameters only have effect if the channel contains table information; for a 'blob file channel' the jobs do not need to understand the file format.
Oct 11, 2016 · In addition to the attributes defined by the Parquet format you can also attach arbitrary String key/value pairs to a file. In the write path, your WriteSupport class can override the finalizeWrite () method to return a custom metadata Map. In the read path, you have access to the map in the same place you get access to the file schema.
Parquet. Apache Parquet defines itself as: "a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or ...