Hi,
Here is small trick I think you will like :).
- With this minimal dataset as /tmp/test.json:
{"dimensions":{"adults":"A"}}
- Running this:
select lower(p.dimensions.budgetLevel) as `field1`,
lower(p.dimensions.adults) as `field2` from dfs.tmp.`/test.json` as p;
- To no surprise returns this:
+---------+---------+
| field1 | field2 |
+---------+---------+
| null | a |
+---------+---------+
Here comes the trick(y) part (hold your breath):
- With the same data as a Parquet file
CREATE TABLE dfs.tmp.`/test` AS SELECT * FROM dfs.tmp.`/test.json`;
- The same query:
select lower(p.dimensions.budgetLevel) as `field1`,
lower(p.dimensions.adults) as `field2` from dfs.tmp.`/test/0_0_0.parquet`
as p;
- Return this:
+---------+---------+
| field1 | field2 |
+---------+---------+
| a | null |
+---------+---------+
ta ta !
Best regards,
-Stefan