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All code, at first, is written in pure Python so that py-postgresql will work anywhere that you can install Python 3. Optimizations in C are made where needed, but are always optional. Prepared Statements Using the PG-API interface, protocol-level prepared statements may be created and used multiple times. db.prepare(sql)(*args) COPY Support Use the convenient COPY interface to directly copy data from one connection to another. No intermediate files or tricks are necessary. Arrays and Composite Typescw Arrays and composites are fully supported. Queries requesting them will returns objects that provide access to the elements within. "pg_python" Quick Console Get a Python console with a connection to PostgreSQL for quick tests and simple scripts. WWW: http://python.projects.postgresql.org/ PR: ports/137782 Submitted by: Volodymyr Kostyrko <c.kworr@gmail.com>
23 lines
816 B
Plaintext
23 lines
816 B
Plaintext
Pure Python
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All code, at first, is written in pure Python so that py-postgresql will work
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anywhere that you can install Python 3. Optimizations in C are made where
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needed, but are always optional.
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Prepared Statements
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Using the PG-API interface, protocol-level prepared statements may be created
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and used multiple times. db.prepare(sql)(*args)
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COPY Support
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Use the convenient COPY interface to directly copy data from one connection to
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another. No intermediate files or tricks are necessary.
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Arrays and Composite Typescw
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Arrays and composites are fully supported. Queries requesting them will returns
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objects that provide access to the elements within.
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"pg_python" Quick Console
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Get a Python console with a connection to PostgreSQL for quick tests and simple
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scripts.
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WWW: http://python.projects.postgresql.org/
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