Reputation: 2649
I'm looking to load from s3 gzipped files that looks like:
{"a": "a", "b": "a", "time": "20210210T10:10:00"}
{"a": "b", "b": "b", "time": "20210210T11:10:00"}
I created the table in redshift beforehand:
create table stTest(
a varchar(50),
b varchar(50),
time varchar(50));
This is what I run and get:
db=# COPY stTest FROM 's3://bucket/file.gz' credentials 'aws_access_key_id=x;aws_secret_access_key=y' json 'AUTO' gzip ACCEPTINVCHARS ' ' TRUNCATECOLUMNS TRIMBLANKS;
ERROR: S3 path "AUTO" has invalid format.
DETAIL:
-----------------------------------------------
error: S3 path "AUTO" has invalid format.
code: 8001
context: Parsing S3 Bucket
query: 72165606
location: s3_utility.cpp:132
process: padbmaster [pid=4690]
-----------------------------------------------
Would love for some help.
Upvotes: 1
Views: 527
Reputation: 11082
You need to specify the json field to Redshift column mapping. This is done the FORMAT option and a jsonpaths file. See https://docs.aws.amazon.com/redshift/latest/dg/copy-parameters-data-format.html#copy-format for format of the jsonpaths file.
Upvotes: 1