Correct docs

Author: DoumanAsh

docs/source/user-guide/configs.md

@@ -131,7 +131,7 @@ The following configuration settings are available:
 | datafusion.execution.enforce_batch_size_in_joins                        | false                     | Should DataFusion enforce batch size in joins or not. By default, DataFusion will not enforce batch size in joins. Enforcing batch size in joins can reduce memory usage when joining large tables with a highly-selective join filter, but is also slightly slower.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
 | datafusion.execution.objectstore_writer_buffer_size                     | 10485760                  | Size (bytes) of data buffer DataFusion uses when writing output files. This affects the size of the data chunks that are uploaded to remote object stores (e.g. AWS S3). If very large (>= 100 GiB) output files are being written, it may be necessary to increase this size to avoid errors from the remote end point.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
 | datafusion.execution.enable_ansi_mode                                   | false                     | Whether to enable ANSI SQL mode. The flag is experimental and relevant only for DataFusion Spark built-in functions When `enable_ansi_mode` is set to `true`, the query engine follows ANSI SQL semantics for expressions, casting, and error handling. This means: - **Strict type coercion rules:** implicit casts between incompatible types are disallowed. - **Standard SQL arithmetic behavior:** operations such as division by zero, numeric overflow, or invalid casts raise runtime errors rather than returning `NULL` or adjusted values. - **Consistent ANSI behavior** for string concatenation, comparisons, and `NULL` handling. When `enable_ansi_mode` is `false` (the default), the engine uses a more permissive, non-ANSI mode designed for user convenience and backward compatibility. In this mode: - Implicit casts between types are allowed (e.g., string to integer when possible). - Arithmetic operations are more lenient — for example, `abs()` on the minimum representable integer value returns the input value instead of raising overflow. - Division by zero or invalid casts may return `NULL` instead of failing. # Default `false` — ANSI SQL mode is disabled by default. |
-| datafusion.execution.partitioned_file_prefix_name                       | false                     | Prefix to use when generating file name in multi file output. Defaults to empty string - no prefix |
+| datafusion.execution.partitioned_file_prefix_name                       |                           | Prefix to use when generating file name in multi file output. Defaults to empty string - no prefix |
 | datafusion.optimizer.enable_distinct_aggregation_soft_limit             | true                      | When set to true, the optimizer will push a limit operation into grouped aggregations which have no aggregate expressions, as a soft limit, emitting groups once the limit is reached, before all rows in the group are read.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
 | datafusion.optimizer.enable_round_robin_repartition                     | true                      | When set to true, the physical plan optimizer will try to add round robin repartitioning to increase parallelism to leverage more CPU cores                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
 | datafusion.optimizer.enable_topk_aggregation                            | true                      | When set to true, the optimizer will attempt to perform limit operations during aggregations, if possible                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |