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- SQL to/from JSON 10901
- DuckDB provides functions to serialize and deserialize SELECT statements between SQL and JSON, as well as executing JSON serialized statements. Function Type Description json_deserialize_sql(json) Scalar Deserialize one or many json seriali
...nly one statement at a time is supported for now. json_serialize_plan(varchar, skip_default := boolean, format := boolean, optimize := boolean) Scalar Serialize the bound logical query plan of a set of semicolon-separated ( ; ) statements to JSON. If opt...imize is true , the optimized plan is serialized. json_serialize_sql(varchar, skip_default := boolean, skip_empty := boolean, skip_null := boolean, for... - https://man.mtool.work/duckdb/2.0/data/json/sql_to_and_from_json.html
- Relational API on Pandas 10287
- DuckDB offers a relational API that can be used to chain together query operations. These are lazily evaluated so that DuckDB can optimize their execution. These operators can act on Pandas DataFrames, DuckDB tables or views (which can poin
... - https://man.mtool.work/duckdb/2.0/guides/python/relational_api_pandas.html
- Logging 6678
- DuckDB implements a logging mechanism that provides users with detailed information about events such as query execution, performance metrics and system events. Warning Logs may contain sensitive information, including secrets and credentia
...duckdb_logs; and will produce identical results. Buffer Size The log storage in DuckDB implements a buffering mechanism to optimize logging performance. This implementation introduces a potential delay between message logging and storage writing. This de... - https://man.mtool.work/duckdb/2.0/operations_manual/logging/overview.html
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