Pyplatform-datawarehouse package provides functions for querying, writing and managing data in Google BiqQuery.
Installation
pip install pyplatform-datawarehouse
Authentication and environment variables
Refer to main page for documentation on authentication
Exploring the modules
from pyplatform.datawarehouse import *
show_me()
Usage
querying BigQuery table
import pyplatform.datawarehouse as dw
sql = """SELECT Order_ID, Order_Date, Ship_Date, Ship_Mode, Customer_ID, Customer_Name, Segment
FROM `project_id.dataset.sample_superstore` """
df = dw.bq_to_df(sql)
df.head()
# select statemet is enclosed in the stored procedure
sql = """CALL `project_id.dataset.spoc_sample_superstore`();"""
df = dw.bq_to_df(sql)
df.head()
writing dataframe to BigQuery table
import pyplatform.datawarehouse as dw
# df #TODO create dataframe as source
table_id = 'project_id.dataset.sample_superstore'
job = dw.df_to_bq(df,table_id)
print(dw.bq_get_job_info(job))
1 maintainer
Metadata
1 maintainer
Release files for pyplatform-datawarehouse 2020.12.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| pyplatform-datawarehouse-2020.12.1.tar.gz | 14.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyplatform_datawarehouse-2020.12.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.1 kB
Release files / pyplatform-datawarehouse-2020.12.1.tar.gz
| Download URL | pyplatform-datawarehouse-2020.12.1.tar.gz |
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| Size | 14.7 kB |
| Tags | Source |
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Release files / pyplatform_datawarehouse-2020.12.1-py3-none-any.whl
| Download URL | pyplatform_datawarehouse-2020.12.1-py3-none-any.whl |
|---|---|
| Size | 14.4 kB |
| Tags | Python 3 |
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