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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-11-01 05:12:38 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-11-01 05:12:38 +0000 |
commit | 613c2506f59fefeb0c0b921ca361c65e99458139 (patch) | |
tree | e1207c41ee9b35d77f1608e87e568fe60d701cf6 /README.md | |
parent | Adding upstream version 18.17.0. (diff) | |
download | sqlglot-613c2506f59fefeb0c0b921ca361c65e99458139.tar.xz sqlglot-613c2506f59fefeb0c0b921ca361c65e99458139.zip |
Adding upstream version 19.0.1.upstream/19.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -1,6 +1,6 @@ ![SQLGlot logo](sqlglot.svg) -SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between [20 different dialects](https://github.com/tobymao/sqlglot/blob/main/sqlglot/dialects/__init__.py) like [DuckDB](https://duckdb.org/), [Presto](https://prestodb.io/), [Spark](https://spark.apache.org/), [Snowflake](https://www.snowflake.com/en/), and [BigQuery](https://cloud.google.com/bigquery/). It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects. +SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between [20 different dialects](https://github.com/tobymao/sqlglot/blob/main/sqlglot/dialects/__init__.py) like [DuckDB](https://duckdb.org/), [Presto](https://prestodb.io/) / [Trino](https://trino.io/), [Spark](https://spark.apache.org/) / [Databricks](https://www.databricks.com/), [Snowflake](https://www.snowflake.com/en/), and [BigQuery](https://cloud.google.com/bigquery/). It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL in the targeted dialects. It is a very comprehensive generic SQL parser with a robust [test suite](https://github.com/tobymao/sqlglot/blob/main/tests/). It is also quite [performant](#benchmarks), while being written purely in Python. |