Update docs

datafusion/sqllogictest/test_files/information_schema.slt

@@ -207,7 +207,6 @@ datafusion.execution.parquet.dictionary_page_size_limit 1048576
 datafusion.execution.parquet.enable_page_index true
 datafusion.execution.parquet.encoding NULL
 datafusion.execution.parquet.max_row_group_size 1048576
-datafusion.execution.parquet.max_statistics_size 4096
 datafusion.execution.parquet.maximum_buffered_record_batches_per_stream 2
 datafusion.execution.parquet.maximum_parallel_row_group_writers 1
 datafusion.execution.parquet.metadata_size_hint NULL
@@ -300,7 +299,6 @@ datafusion.execution.parquet.dictionary_page_size_limit 1048576 (writing) Sets b
 datafusion.execution.parquet.enable_page_index true (reading) If true, reads the Parquet data page level metadata (the Page Index), if present, to reduce the I/O and number of rows decoded.
 datafusion.execution.parquet.encoding NULL (writing)  Sets default encoding for any column. Valid values are: plain, plain_dictionary, rle, bit_packed, delta_binary_packed, delta_length_byte_array, delta_byte_array, rle_dictionary, and byte_stream_split. These values are not case sensitive. If NULL, uses default parquet writer setting
 datafusion.execution.parquet.max_row_group_size 1048576 (writing) Target maximum number of rows in each row group (defaults to 1M rows). Writing larger row groups requires more memory to write, but can get better compression and be faster to read.
-datafusion.execution.parquet.max_statistics_size 4096 (writing) Sets max statistics size for any column. If NULL, uses default parquet writer setting
 datafusion.execution.parquet.maximum_buffered_record_batches_per_stream 2 (writing) By default parallel parquet writer is tuned for minimum memory usage in a streaming execution plan. You may see a performance benefit when writing large parquet files by increasing maximum_parallel_row_group_writers and maximum_buffered_record_batches_per_stream if your system has idle cores and can tolerate additional memory usage. Boosting these values is likely worthwhile when writing out already in-memory data, such as from a cached data frame.
 datafusion.execution.parquet.maximum_parallel_row_group_writers 1 (writing) By default parallel parquet writer is tuned for minimum memory usage in a streaming execution plan. You may see a performance benefit when writing large parquet files by increasing maximum_parallel_row_group_writers and maximum_buffered_record_batches_per_stream if your system has idle cores and can tolerate additional memory usage. Boosting these values is likely worthwhile when writing out already in-memory data, such as from a cached data frame.
 datafusion.execution.parquet.metadata_size_hint NULL (reading) If specified, the parquet reader will try and fetch the last `size_hint` bytes of the parquet file optimistically. If not specified, two reads are required: One read to fetch the 8-byte parquet footer and another to fetch the metadata length encoded in the footer