snowflake-sqlalchemy | Snowflake SQLAlchemy | SQL Database library
kandi X-RAY | snowflake-sqlalchemy Summary
kandi X-RAY | snowflake-sqlalchemy Summary
Snowflake SQLAlchemy
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Top functions reviewed by kandi - BETA
- Get the columns of the given schema .
- Generate the URL for a connection .
- Processes a copy_into .
- Add CLUSTER BY clause .
- Split schema by dot .
- Return a string representation of the value .
- Check delimiter .
- Create a file from a parent stage .
- Create a bucket from a URI .
- Determine whether the statement should be executed .
snowflake-sqlalchemy Key Features
snowflake-sqlalchemy Examples and Code Snippets
Lines of Code : 39License : Strong Copyleft (CC BY-SA 4.0)
Copy self.engine = sa.create_engine(connection_string, **kwargs)
import sqlalchemy as sa
make_url = import_make_url()
except ImportError:
sa = None
/your/virtualenv/bin/pythboto3==1.13
botocore==1.16
snowflake-connector-python==2.2.7
snowflake-sqlalchemy==1.2.3
$ pip search sqlalchemy | wc -l
100
from sqlalchemy.dialects import registry
...
registry.register('snowflake', 'snowflake.sqlalchemy', 'dialect')
#! /bin/bash
# download jars
gsutil -m cp gs://dataproc-featurelib/spark-lib/*.jar .
# download credential files
gsutil -m cp gs://mlflow_feature_pipeline/secrets/*.json .
# authenticate
gcloud config set account
gcloud auth activate-s{
'name' : 'col1',
'primary_key' : False,
'default' : 'None',
'type' : VARCHAR(length=16777216),
'nullable' : True,
'autoincrement' : False,
'comment' : 'this is my comment'
}
'snowflake://:@//?warehouse=?role='
'snowflake://:@//?warehouse=&role='
seq = Sequence('id_seq')
nextid = connection.execute(seq)
connection.execute(t2.insert(), [ {'id': nextid, 'data': 'test_insert'}])
select start_time::date as usage_date,
warehouse_name,
sum(credits_used) as total_credits_used
from snowflake.account_usage.warehouse_metering_history -- Here fully qualify the table
where start_time >= date_trunc(month, connection = engine.connect()
results = connection.execute(query)
print (results.rowcount)
connection.close()
engine.dispose()
import logging
for logger_name in ['snowflake','botocore']:
logger = logging.getLoCommunity Discussions
Trending Discussions on snowflake-sqlalchemy
QUESTION
I'm trying to make a complete copy of a Snowflake DB into PostgreSQL DB (every table/view, every row). I don't know the best way to go about accomplishing this. I've tried using a package called pipelinewise , but I could not get the access needed to convert a snowflake view to a postgreSQL table (it needs a unique id). Long story short it just would not work for me.
I've now moved on to using the snowflake-sqlalchemy package. So, I'm wondering what is the best way to just make a complete copy of the entire DB. Is it necessary to make a model for each table, because this is a big DB? I'm new to SQL alchemy in general, so I don't know exactly where to start. My guess is with reflections , but when I try the example below I'm not getting any results.
...ANSWER
Answered 2021-Jun-14 at 19:29Try this: I got it working on mine, but I have a few functions that I use for my sqlalchemy engine, so might not work as is:
QUESTION
Recently my lambda code stopped working. I am no longer able to create connection to Snowflake with sqlalchemy. See error stack below.
...ANSWER
Answered 2021-Jan-13 at 19:26For completeness, moving the answer from @Clement in a comment to an answer:
This error can happen when loading the oscrypto (libcrypto) if the memory usage is too high. The OOM state cascades upward.
QUESTION
Versions of the libraries we're using:
...ANSWER
Answered 2021-Feb-25 at 18:16I believe the poster filed a Github issue here: https://github.com/great-expectations/great_expectations/issues/2460. The progress can be tracked there.
QUESTION
I have the following code in Google Collab that, when run manually, requires me to restart and run manually due to the snowflake libraries.
However, I want to wrap up code that includes this snippet and run it on GCP.
...ANSWER
Answered 2020-Dec-17 at 22:22What you are likely looking for is Google Cloud Functions for your Python. In setting up a cloud function to run, you upload the code and the libraries, so that they are already installed when you want to execute the function. Take a look at this guide, as its very complete and detailed:
QUESTION
I am trying to connect to Amazon S3 using boto3 and snowflake-connector-python for which I am running the following packages:
ANSWER
Answered 2020-Jun-23 at 15:30What is the way to resolve this conflict?
You can try to follow the path of using the lowest agreeable version. To break it down:
- The
snowflake-connector-pythonpackage dependencies appears to be restricting its use ofboto3library to1.13.xat most. - Your requirements specify an explicit version of
boto31.14.x. - Your use of the simple
boto3APIs (going by the snippet shared) does not appear to involve any 1.14.x specific changes or features. boto31.13.xreleases continue to work against the live AWS S3 service.
Therefore, try using an accepted version of boto3/botocore in place of the current version(s):
QUESTION
I wanted to install SQLAlchemy for Python 3 for working with databases.
I searched for the package using pip3 search SQLAlchemy, but I didn't find SQLAlchemy as part of the results.
Why don't SQLAlchemy show up in the output below, when the package is available on PyPI?
https://pypi.org/project/SQLAlchemy/
SQLAlchemy 1.3.15
...ANSWER
Answered 2020-Apr-01 at 18:38$ pip search sqlalchemy | wc -l
100
QUESTION
I would like the Dataproc cluster to download a custom library I created that's not pip installable, so it would require a user to clone it from cloud source repo and then do sudo python setup.py install. I tried creating a bash script; the cluster was created without any issue but I don't think it ran the bash script because I didn't notice any changes.
Here's my bash script that I want to initialize to the cluster:
...ANSWER
Answered 2020-Feb-28 at 15:47I resolved this issue by authorizing the service account. Example of Bash Script below:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install snowflake-sqlalchemy
You can use snowflake-sqlalchemy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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