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问题:
I'm trying to do a Redshift COPY in SQLAlchemy.
The following SQL correctly copies objects from my S3 bucket into my Redshift table when I execute it in psql:
COPY posts FROM 's3://mybucket/the/key/prefix' WITH CREDENTIALS 'aws_access_key_id=myaccesskey;aws_secret_access_key=mysecretaccesskey' JSON AS 'auto';
I have several files named
s3://mybucket/the/key/prefix.001.json s3://mybucket/the/key/prefix.002.json etc.
I can verify that the new rows were added to the table with select count(*) from posts
.
However, when I execute the exact same SQL expression in SQLAlchemy, execute completes without error, but no rows get added to my table.
session = get_redshift_session() session.bind.execute("COPY posts FROM 's3://mybucket/the/key/prefix' WITH CREDENTIALS aws_access_key_id=myaccesskey;aws_secret_access_key=mysecretaccesskey' JSON AS 'auto';") session.commit()
It doesn't matter whether I do the above or
from sqlalchemy.sql import text session = get_redshift_session() session.execute(text("COPY posts FROM 's3://mybucket/the/key/prefix' WITH CREDENTIALS aws_access_key_id=myaccesskey;aws_secret_access_key=mysecretaccesskey' JSON AS 'auto';")) session.commit()
回答1:
I basically had the same problem, though in my case it was more:
engine = create_engine('...') engine.execute(text("COPY posts FROM 's3://mybucket/the/key/prefix' WITH CREDENTIALS aws_access_key_id=myaccesskey;aws_secret_access_key=mysecretaccesskey' JSON AS 'auto';"))
By stepping through pdb, the problem was obviously the lack of a .commit()
being invoked. I don't know why session.commit()
is not working in your case (maybe the session "lost track" of the sent commands?) so it might not actually fix your problem.
Anyhow, as explained in the sqlalchemy docs
Given this requirement, SQLAlchemy implements its own “autocommit” feature which works completely consistently across all backends. This is achieved by detecting statements which represent data-changing operations, i.e. INSERT, UPDATE, DELETE [...] If the statement is a text-only statement and the flag is not set, a regular expression is used to detect INSERT, UPDATE, DELETE, as well as a variety of other commands for a particular backend.
So, there are 2 solutions, either:
text("COPY posts FROM 's3://mybucket/the/key/prefix' WITH CREDENTIALS aws_access_key_id=myaccesskey;aws_secret_access_key=mysecretaccesskey' JSON AS 'auto';").execution_options(autocommit=True).
- Or, get a fixed version of the redshift dialect... I just opened a PR about it
回答2:
I have had success using the core expression language and Connection.execute()
(as opposed to the ORM and sessions) to copy delimited files to Redshift with the code below. Perhaps you could adapt it for JSON.
def copy_s3_to_redshift(conn, s3path, table, aws_access_key, aws_secret_key, delim='\t', uncompress='auto', ignoreheader=None): """Copy a TSV file from S3 into redshift. Note the CSV option is not used, so quotes and escapes are ignored. Empty fields are loaded as null. Does not commit a transaction. :param Connection conn: SQLAlchemy Connection :param str uncompress: None, 'gzip', 'lzop', or 'auto' to autodetect from `s3path` extension. :param int ignoreheader: Ignore this many initial rows. :return: Whatever a copy command returns. """ if uncompress == 'auto': uncompress = 'gzip' if s3path.endswith('.gz') else 'lzop' if s3path.endswith('.lzo') else None copy = text(""" copy "{table}" from :s3path credentials 'aws_access_key_id={aws_access_key};aws_secret_access_key={aws_secret_key}' delimiter :delim emptyasnull ignoreheader :ignoreheader compupdate on comprows 1000000 {uncompress}; """.format(uncompress=uncompress or '', table=text(table), aws_access_key=aws_access_key, aws_secret_key=aws_secret_key)) # copy command doesn't like table name or keys single-quoted return conn.execute(copy, s3path=s3path, delim=delim, ignoreheader=ignoreheader or 0)