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This article will explain in detail the case analysis of sql to sqlalchemy conversion for you. The content of the article is of high quality, so the editor shares it for you as a reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

The code is as follows:

Select to_char (date_published, 'yyyymm') yo from blog group by yo

You can use extract () to convert to a sqlalchemy statement

The code is as follows:

In [3]: year_field = db.func.extract ('year', ArticleModel.date_published) In [4]: month_field = db.func.extract (' month', ArticleModel.date_published) In [5]: yonth_field = year_field * 100 + month_field In [6]: print db.session.query (yonth_field.label ('yonth')) Db.func.count (1)) .group_by ('yonth') SELECT EXTRACT (year FROM article_meta.date_published) *: param_1 + EXTRACT (month FROM article_meta.date_published) AS yonth, count (: param_2) AS count_1 FROM article_meta JOIN article ON article_meta.id = article.id GROUPBY yonth

You can also call functions or stored procedures supported by the database directly through func

The code is as follows:

Yonth = db.func.to_char (ArticleModel.date_published,'yyyymm'). Label ('yonth') archive_list = (db.session.query (yonth, db.func.count (1)). Group_by (' yonth'). All ()

This is the end of the case analysis of sql to sqlalchemy conversion. I hope the above content can be of some help to you and learn more knowledge. If you think the article is good, you can share it for more people to see.

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