Reading LZO file of json lines in Spark DataFrames

I have a large indexed lzo file in HDFS that I would like to read in spark dataframes. The file contains lines of json documents.

posts_dir='/data/2016/01'

posts_dir has the following:

/data/2016/01/posts.lzo
/data/2016/01/posts.lzo.index

The following works but doesn't make use of the index and hence takes long time because it only uses one mapper.

posts = spark.read.json(posts_dir)

Is there a way to make it utilize the index?

I solved this by first creating an RDD that recognizes the index and then using from_json function to turn each line into StructType, effectively producing similar results to spark.read.json(...)

posts_rdd = sc.newAPIHadoopFile(posts_dir,
                                'com.hadoop.mapreduce.LzoTextInputFormat',
                                'org.apache.hadoop.io.LongWritable',
                                'org.apache.hadoop.io.Text')

posts_df = posts_rdd.map(lambda x:Row(x[1]))\
                    .toDF(['raw'])\
                    .select(F.from_json('raw', schema=posts_schema).alias('json')).select('json.*')

I am not aware of a better or more straightforward way.