Spark Thrift Loader

A library for loadling Thrift data into Spark SQL.

Features

It supports conversions from Thrift records to Spark SQL, making Thrift a first-class citizen in Spark. It automatically derives Spark SQL schema from Thrift struct and convert Thrift object to Spark Row in runtime. Any nested-structs are all support except Map key field needs to be primitive.

It is especially useful when running spark streaming job to consume thrift events from different streaming sources.

Supported types for Thrift -> Spark SQL conversion

This library supports reading following types. It uses the following mapping from convert Thrift types to Spark SQL types:

Thrift Type	Spark SQL type
bool	BooleanType
i16	ShortType
i32	IntegerType
i64	LongType
double	DoubleType
binary	StringType
string	StringType
enum	String
list	ArrayType
set	ArrayType
map	MapType
struct	StructType

Examples

Convert Thrift Schema to StructType in Spark

import com.airbnb.spark.thrift.ThriftSchemaConverter

// this will return a StructType for the thrift class
val thriftStructType = ThriftSchemaConverter.convert(ThriftExampleClass.getClass)

Convert Thrift Object to Row in Spark

import com.airbnb.spark.thrift.ThriftSchemaConverter
import com.airbnb.spark.thrift.ThriftParser

// this will return a StructType for the thrift class
val thriftStructType = ThriftSchemaConverter.convert(ThriftExampleClass.getClass)
val row =  ThriftParser.convertObject(
                thriftObject,
                thriftStructType)

Use cases: consume Kafka Streaming, where each event is a thrift object

import com.airbnb.spark.thrift.ThriftSchemaConverter
import com.airbnb.spark.thrift.ThriftParser


 directKafkaStream.foreachRDD(rdd => {
    val schema = ThriftSchemaConverter.convert(ThriftExampleClass.getClass)

     val deserializedEvents = rdd
       .map(_.message)
       .filter(_ != null)
       .flatMap(eventBytes => {
           try Some(MessageSerializer.getInstance().fromBytes(eventBytes))
             .asInstanceOf[Option[Message[_]]]
           catch {
               case e: Exception => {
                   LOG.warn(s"Failed to deserialize  thrift event ${e.toString}")
                   None
               }
           }
       }).map(_.getEvent.asInstanceOf[TBaseType])

       val rows: RDD[Row] = ThriftParser(
           ThriftExampleClass.getClass,
           deserializedEvents,
           schema)

       val df = sqlContext.createDataFrame(rows, schema)

       // Process the dataframe on this micrao batch
    })
 }

How to get started

Clone the project and mvn package to get the artifact.

How to contribute

Please send the PR here and cc @liyintang or @jingweilu1974 for reviewing