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authorDaniel Baumann <daniel.baumann@progress-linux.org>2023-08-06 07:48:08 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2023-08-06 07:48:08 +0000
commitb737ee75da2515a4a53956e41ae85e29dd67f21d (patch)
tree3896f4cac8aebc31f5cdb32a111fa801aba7ca22 /README.md
parentAdding upstream version 17.7.0. (diff)
downloadsqlglot-upstream/17.9.1.tar.xz
sqlglot-upstream/17.9.1.zip
Adding upstream version 17.9.1.upstream/17.9.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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@@ -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 [19 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 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 [19 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.
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.
@@ -122,7 +122,7 @@ LEFT JOIN `baz`
ON `f`.`a` = `baz`.`a`
```
-Comments are also preserved in a best-effort basis when transpiling SQL code:
+Comments are also preserved on a best-effort basis when transpiling SQL code:
```python
sql = """