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rfc/rfc-51/rfc-51.md

@@ -71,7 +71,7 @@ in some unnecessary overhead, IO, CPU and so on.
 
 Since Spark 3.2.0, with the power of parquet column index, page level statics info can be used
 to filter data, and the process of reading data can be split as following steps:
-- Step 1-2 is same with the [flow one](#flow_one); 
+- Step 1-2 is same with the <a id = 'flow_one'>flow one</a>; 
 - Step 3: Filtering page by page level statistics for each column predicates, then get hit row ids for 
 every column independently; 
 - Step 4: Getting final hit row ids by combining all column hit rows, then get final hit pages for