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1. Add basic 'HAVING' clause (before the 'ORDER BY' clause). 2. Select source tables in 'DATE_RANGE' format. 3. Add 'BETWEEN' clause in conditions. 4. Modify 'ORDER BY' to accept multiple parameters.
Test cases modified as the ORDER_BY syntax has changed and HAVING clause also has been added.
Update Table and Patch Table support has been added.
Render the conditions for the having clause. Moved the 'GROUP BY' clause defination abouve 'HAVING'.
Check the length of the value is 2, when BETWEEN is used. If length is not equal to 2 throw warning.
Take into account limit argument when returning rows
Feat table update patch
…write_table Add UDF support to write table
Deleted the un-correct code for patch_table and update_table.
Render query modifications
Add service_url parameter to get_client and _get_bq_service
Using numpydoc allows aesthetically pleasing and easy to read documents to be created using Sphinx. You can see real examples of this with Numpy's own documentation (https://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.mean.html). This docs directory contains the basic file structure necessary for creating automated documentation based off NumPy styled Docstrings.
Added tools for automated documentation with Sphinx and Numpydoc
Upgrade to latest OAuth library(2.0.2) and Google Python library (1.5.0)
Support ignoreUnknownValues and skipInvalidRows option for insertAll
Use package logger instead of root logger
A JSON key file provided by Google contains project_id. Now project_id argument of get_client() is optional and read from the JSON key file if json_key or json_key_file is provided. I believe this improve usability of get_client().
Read project_id from JSON key file.
Add template_suffix option support
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