Convert file of JSON objects to Parquet file

Kite has support for importing JSON to both Avro and Parquet formats via its command-line utility, kite-dataset.

First, you would infer the schema of your JSON:

kite-dataset json-schema sample-file.json -o schema.avsc

Then you can use that file to create a Parquet Hive table:

kite-dataset create mytable --schema schema.avsc --format parquet

And finally, you can load your JSON into the dataset.

kite-dataset json-import sample-file.json mytable

You can also import an entire directly stored in HDFS. In that case, Kite will use a MR job to do the import.

You can actually use Drill itself to create a parquet file from the output of any query.

create table student_parquet as select * from `student.json`;

The above line should be good enough. Drill interprets the types based on the data in the fields. You can substitute your own query and create a parquet file.

To complete the answer of @rahul, you can use drill to do this - but I needed to add more to the query to get it working out of the box with drill.

create table dfs.tmp.`filename.parquet` as select * from dfs.`/tmp/filename.json` t

I needed to give it the storage plugin (dfs) and the "root" config can read from the whole disk and is not writable. But the tmp config (dfs.tmp) is writable and writes to /tmp. So I wrote to there.

But the problem is that if the json is nested or perhaps contains unusual characters, I would get a cryptic

org.apache.drill.common.exceptions.UserRemoteException: SYSTEM ERROR: java.lang.IndexOutOfBoundsException:

If I have a structure that looks like members: {id:123, name:"joe"} I would have to change the select to

select members.id as members_id, members.name as members_name

or

select members.id as `members.id`, members.name as `members.name`

to get it to work.

I assume the reason is that parquet is a "column" store so you need columns. JSON isn't by default so you need to convert it.

The problem is I have to know my json schema and I have to build the select to include all the possibilities. I'd be happy if some knows a better way to do this.