How to Install and Uninstall python3-sqlglot.x86_64 Package on CentOS Stream 9
Last updated: February 05,2025
1. Install "python3-sqlglot.x86_64" package
Please follow the guidelines below to install python3-sqlglot.x86_64 on CentOS Stream 9
$
sudo dnf update
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$
sudo dnf install
python3-sqlglot.x86_64
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2. Uninstall "python3-sqlglot.x86_64" package
In this section, we are going to explain the necessary steps to uninstall python3-sqlglot.x86_64 on CentOS Stream 9:
$
sudo dnf remove
python3-sqlglot.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-sqlglot.x86_64 package on CentOS Stream 9
Last metadata expiration check: 3:02:58 ago on Sat Mar 16 16:03:45 2024.
Available Packages
Name : python3-sqlglot
Version : 5.2.0
Release : 1.el9
Architecture : x86_64
Size : 201 k
Source : python-sqlglot-5.2.0-1.el9.src.rpm
Repository : epel
Summary : SQL Parser and Transpiler
URL : https://github.com/tobymao/sqlglot
License : MIT
Description : SQLGlot is a no dependency Python SQL parser, transpiler, and optimizer.
: It can be used to format SQL or translate between different dialects like
: DuckDB, Presto, Spark, and BigQuery. It aims to read a wide variety of SQL
: inputs and output syntactically correct SQL in the targeted dialects.
:
: It is a very comprehensive generic SQL parser with a robust test suite. It
: is also quite performant while being written purely in Python.
:
: You can easily customize the parser, analyze queries, traverse expression
: trees, and programmatically build SQL.
:
: Syntax errors are highlighted and dialect incompatibilities can warn or
: raise depending on configurations.
Available Packages
Name : python3-sqlglot
Version : 5.2.0
Release : 1.el9
Architecture : x86_64
Size : 201 k
Source : python-sqlglot-5.2.0-1.el9.src.rpm
Repository : epel
Summary : SQL Parser and Transpiler
URL : https://github.com/tobymao/sqlglot
License : MIT
Description : SQLGlot is a no dependency Python SQL parser, transpiler, and optimizer.
: It can be used to format SQL or translate between different dialects like
: DuckDB, Presto, Spark, and BigQuery. It aims to read a wide variety of SQL
: inputs and output syntactically correct SQL in the targeted dialects.
:
: It is a very comprehensive generic SQL parser with a robust test suite. It
: is also quite performant while being written purely in Python.
:
: You can easily customize the parser, analyze queries, traverse expression
: trees, and programmatically build SQL.
:
: Syntax errors are highlighted and dialect incompatibilities can warn or
: raise depending on configurations.