Hello dear community,
I face an issue that I need to load only first row (header) of the upcoming data in the table via snowpipe. Could you please support me with the correct parameter? I guess, it should be specified somehow in FILE_FORMAT, for example, now I have this file format
FILE_FORMAT = (TYPE = CSV
--COMPRESSION = GZIP
--SKIP_HEADER=1
--FIELD_OPTIONALLY_ENCLOSED_BY = '"'
VALIDATE_UTF8 = FALSE
FIELD_DELIMITER = '|'
ESCAPE_UNENCLOSED_FIELD = NONE
DATE_FORMAT = 'YYYYMMDD'
TIMESTAMP_FORMAT = 'DD.MM.YYYY HH24:MI:SS'
TRIM_SPACE = TRUE
);
I don't think there is a way to do this in one step.
However, you could load the full file, and add the metadata value METADATA$FILE_ROW_NUMBER
to your insert into the table. See this page
Then as a second step, you could query that table where the FILE_ROW_NUMBER = 1. And you could easily write that as a CREATE TABLE AS SELECT...
or INSERT INTO TABLE SELECT ...
depending on what you are trying to do.
If the objective is to avoid the processing of the full file, then I'm not sure there's an option within Snowflake, but you could add a step prior to loading the file to create a different file that only has the first record and load that instead? Probably not the most helpful advice, but maybe worth considering.
A snowpipe consists of 2 distinct steps:
You cannot alter the records loaded by the pipe
stage, as mentioned by previous answer. You can lightly alter the records which are written into a table in the copy
stage . Here's Snowflake's documentation on including metadata .
CREATE PIPE
my_pipe
AS
COPY INTO
my_table(filename, file_row_number, col1, col2)
FROM (
SELECT
metadata$filename,
metadata$file_row_number,
$1, $2
from @snowpipe_db.public.mystage
)
;
Thereafter, you can create an intermediate table which loads records with file_row_number=1
.
As an aside, if you are concerned with data security, you should consider truncating the rows in your stage, prior to being loaded by Snowflake altogether.
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