parquet4s | Use Scala classes
kandi X-RAY | parquet4s Summary
kandi X-RAY | parquet4s Summary
Parquet4s is a simple I/O for Parquet. Allows you to easily read and write Parquet files in Scala. Use just a Scala case class to define the schema of your data. No need to use Avro, Protobuf, Thrift or other data serialisation systems. You can use generic records if you don't want to use the case class, too. Compatible with files generated with Apache Spark. However, unlike in Spark, you do not have to start a cluster to perform I/O operations. Based on official Parquet library, Hadoop Client and Shapeless (Shapeless is not in use in a version for Scala 3). As it is based on Hadoop Client then you can connect to any Hadoop-compatible storage like AWS S3 or Google Cloud Storage. Integrations for Akka Streams and FS2. Released for Scala 2.12.x, 2.13.x and 3.0.x. Akka module is available for Scala 2.12.x and 2.13.x.
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QUESTION
I have multiple function definitions to write a parquet file, but I'd rather have one general function. How can I make one general function work? The problem is that one general function returns error
could not find implicit value for parameter writerFactory: com.github.mjakubowski84.parquet4s.ParquetWriter.ParquetWriterFactory[Product]
Multiple functions:
...ANSWER
Answered 2020-Jun-23 at 22:54Just make the function generic:
QUESTION
I want to support Json and Parquet file formats. Client should not care about their implementation, but one must pass a type to identify format.
So far I have two classes with such signature:
...ANSWER
Answered 2019-Nov-15 at 14:28If you have both implicits it's enough just to add context bounds
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