Question 1

How do I parse MySQL double quotes in mo-sql-parsing?

Accepted Answer

Use the parse_mysql function specifically, as it handles MySQL's non-ANSI behavior where double quotes denote strings. This is documented in the SQL Flavours section to avoid confusion with standard single quotes.

Question 2

What's the difference between mo-sql-parsing and sqlparse?

Accepted Answer

mo-sql-parsing focuses on converting SQL to JSON for translation across dialects and includes bidirectional conversion, while sqlparse is more about SQL formatting and analysis without built-in JSON output or engine-specific translation features. Choose mo-sql-parsing for datastore abstraction or programmatic manipulation.

Question 3

How do I generate SQL from JSON using mo-sql-parsing?

Accepted Answer

Use the format function from the library. However, note that the formatter may lag behind the parser, so ensure your JSON matches the parse output version and check for compatibility with newer SQL features.

Question 4

Does mo-sql-parsing support Snowflake's ALTER TABLE commands?

Accepted Answer

Yes, support was added in version 8.200+ for Snowflake's ALTER TABLE and COPY commands, as mentioned in the version changes. This enhances its utility for cloud data warehouse workflows.

Question 5

How to handle NULL values in the parse output?

Accepted Answer

By default, NULL is output as {"null":{}}, but you can customize it using the null parameter in parse, e.g., parse(sql, null=None) to replace with Python's None. This allows flexibility for downstream processing.

Question 6

Can I use mo-sql-parsing for building a custom query translator?

Accepted Answer

Yes, its JSON output simplifies programmatic SQL manipulation for translation to non-relational datastores. However, be mindful of dialect-specific quirks and test thoroughly due to potential parsing gaps or version inconsistencies.

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