alamb commented on code in PR #16971: URL: https://github.com/apache/datafusion/pull/16971#discussion_r2246479502
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docs/source/user-guide/configs.md:
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@@ -60,6 +60,7 @@ Environment variables are read during `SessionConfig`
initialisation so they mus
| datafusion.execution.parquet.binary_as_string |
false | (reading) If true, parquet reader will read columns
of `Binary/LargeBinary` with `Utf8`, and `BinaryView` with `Utf8View`. Parquet
files generated by some legacy writers do not correctly set the UTF8 flag for
strings, causing string columns to be loaded as BLOB instead.
|
| datafusion.execution.parquet.coerce_int96 |
NULL | (reading) If true, parquet reader will read columns
of physical type int96 as originating from a different resolution than
nanosecond. This is useful for reading data from systems like Spark which
stores microsecond resolution timestamps in an int96 allowing it to write
values with a larger date range than 64-bit timestamps with nanosecond
resolution.
|
| datafusion.execution.parquet.bloom_filter_on_read |
true | (reading) Use any available bloom filters when
reading parquet files
|
+| datafusion.execution.parquet.cache_metadata |
false | (reading) Whether or not to enable the caching of
embedded metadata of Parquet files (footer and page metadata). Enabling it can
offer substantial performance improvements for repeated queries over large
files. By default, the cache is automatically invalidated when the underlying
file is modified.
|
Review Comment:
Filed an issue to add a limit to the cache here:
- https://github.com/apache/datafusion/issues/17001
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