crepererum commented on code in PR #13706:
URL: https://github.com/apache/datafusion/pull/13706#discussion_r1878372370


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docs/source/user-guide/sql/dialect.md:
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+
+# SQL Dialect
+
+The included SQL supported in Apache DataFusion mostly follows the [PostgreSQL
+SQL dialect], including:
+
+- The sql parser and [SQL planner]
+- Type checking, analyzer, and type coercions
+- Semantics of functions bundled with DataFusion
+
+Notable exceptions:
+
+- Array/List functions and semantics follow the [DuckDB SQL dialect].
+- DataFusion's type system is based on the [Apache Arrow type system], and the 
mapping to PostgrSQL types is not always 1:1.
+- DataFusion has its own syntax (dialect) for certain operations (like 
[`CREATE EXTERNAL TABLE`])
+
+As Apache DataFusion is designed to be fully customizable, systems built on
+DataFusion can and do implement different SQL semantics. Using DataFusion's 
APs,
+you can provide alternate function definitions, type rules, and/or SQL syntax
+that matches other systems such as Apache Spark or MySQL or your own custom
+semantics.
+
+[postgresql sql dialect]: https://www.postgresql.org/docs/current/sql.html
+[sql planner]: 
https://docs.rs/datafusion/latest/datafusion/sql/planner/struct.SqlToRel.html
+[duckdb sql dialect]: https://duckdb.org/docs/sql/functions/array
+[apache arrow type system]: 
https://arrow.apache.org/docs/format/Columnar.html#data-types
+[`create external table`]: ddl.md#create-external-table
+
+## Rationale
+
+SQL Engines have a choice to either use an existing SQL dialect or define their
+own. Using an existing dialect may not fit perfectly as it is hard to match
+semantics exactly (need bug-for-bug compatibility), and is likely not what all

Review Comment:
   More reasons for using pogstgres specifically: it is
   
   - rather extensive, in contrast to e.g. sqlite
   - rather well aligned w/ the SQL standard (at least that's my personal 
impression, after having faced MySQL)



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