Registry / database / presto-types-parser

presto-types-parser

library0.0.2pypypi✓ verified 85d ago

`presto-types-parser` is a small Python library designed to parse and convert input rows returned by the Presto REST API according to their specified Presto data types. It ensures that data structures like arrays, maps, and rows, as well as primitive types, are correctly interpreted into Python equivalents. The current version is 0.0.2, and it appears to have a very slow release cadence with only one public release.

database serialization

pip install presto-types-parser

github ↗package ↗

INSTALL

IMPORT

SIG · PRESTO-TYPES-PARSE

presto-types-parser

databasepythonv0.0.2

Install

1.5s avg

Import

—

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.0.2 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

installs and imports cleanly · install 0.0s · import 0.000s · 18MB

glibc

py 3.10–3.910 runs

installs and imports cleanly · install 1.5s · import 0.000s · 19MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

build_row_parser

✓ from presto_types_parser import build_row_parser

✗ from presto_types_parser import parse_presto_rows

This example demonstrates how to parse a list of Presto-style rows using a corresponding list of Presto type strings. The function converts the raw input into native Python types based on the schema.

from presto_types_parser import parse_presto_rows rows = [[1, 'value_a', True], [2, 'value_b', False], [3, None, True]] types = ['INTEGER', 'VARCHAR', 'BOOLEAN'] parsed_data = parse_presto_rows(rows, types) print(parsed_data) # Expected output: # [[1, 'value_a', True], [2, 'value_b', False], [3, None, True]]

Debug

Known issues

gotchaThe parser expects input rows and types to strictly adhere to the Presto API's format. Any mismatch in the number of values per row versus the number of provided types, or malformed complex type strings (e.g., `ARRAY<VARCHAR>`), will lead to parsing errors or incorrect output.

fix

Thoroughly validate the structure of `rows` (list of lists) and `types` (list of Presto type strings) against your Presto query's output schema before passing them to the parser.

affects: 0.0.1 - 0.0.2

gotchaError messages for complex or deeply nested type mismatches might be generic. Debugging issues with `ARRAY`, `MAP`, or `ROW` types may require manual inspection of the input data and type definitions.

fix

For complex types, test with simpler inputs first. Break down nested structures to identify the exact point of failure. Ensure JSON strings within `JSON` types are valid.

affects: 0.0.1 - 0.0.2

Upgrade

Version history

0.0.2latest on PyPI · released Aug 18, 2020

Audit

Dependencies

typing_extensionsrequiredRequired for type hint compatibility, especially on older Python versions.

Agent activity

9 hits · last 30 days

node

Resources

githubhttps://github.com/ofekby/presto-types-parser ↗

packagehttps://pypi.org/project/presto-types-parser/ ↗