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10-14-2021 04:24 AM
I wrote the real json inside /tmp/test.json and tried to read it now.
when i didn't defined the schema i got an error:
Since Spark 2.3, the queries from raw JSON/CSV files are disallowed when the
referenced columns only include the internal corrupt record column
(named _corrupt_record by default). For example:
spark.read.schema(schema).json(file).filter($"_corrupt_record".isNotNull).count()
and spark.read.schema(schema).json(file).select("_corrupt_record").show().
Instead, you can cache or save the parsed results and then send the same query.
For example, val df = spark.read.schema(schema).json(file).cache() and then
df.filter($"_corrupt_record".isNotNull).count().;
but when i defined the schema i got a df with all columns null.
i have access to s3 bucket, since i already read text files from there and the json files have data inside it ( 800 KB)
Thanks a lot for your help