I have 2 array of hashes:
actual = [{"column_name"=>"NONINTERESTINCOME", "column_data_type"=>"NUMBER"},
{"column_name"=>"NONINTERESTEXPENSE", "column_data_type"=>"VARCHAR"},
{"column_name"=>"TRANSACTIONDATE", "column_data_type"=>"TIMESTAMP"},
{"column_name"=>"UPDATEDATE", "column_data_type"=>"TIMESTAMP"}]
expected = [{"column_name"=>"NONINTERESTINCOME", "column_data_type"=>"NUMBER"},
{"column_name"=>"NONINTERESTEXPENSE", "column_data_type"=>"NUMBER"},
{"column_name"=>"TRANSACTIONDATE", "column_data_type"=>"NUMBER"},
{"column_name"=>"UPDATEDATE", "column_data_type"=>"TIMESTAMP"}]
I need to compare these 2 hashes and find out the ones for which the column_data_type
differs.
to compare we can directly use:
diff = actual - expected
This will print the output as:
{"column_name"=>"NONINTERESTEXPENSE", "column_data_type"=>"VARCHAR"}
{"column_name"=>"TRANSACTIONDATE", "column_data_type"=>"TIMESTAMP"}
My expected output is that in the result i want to print the actual and expected datatype, means the datatypes for the missing `column_name' from both the actual and expected array of hashes, something like:
{"column_name"=>"NONINTERESTEXPENSE", "expected_column_data_type"=>"NUMBER", "actual_column_data_type" => "VARCHAR"}
{"column_name"=>"TRANSACTIONDATE", "expected_column_data_type"=>"NUMBER","actual_column_data_type" => "TIMESTAMP" }
This will work irrespective of order of hashes in your array.
The method above easily expandable to merge N arrays (use
reduce.with_index
andmerge
with key"value_from_#{idx}"
.)Code
Example
Explanation
For the example above the steps are as follows.
First
hashify
actual
andexpected
.Next merge
g
andi
using the form of Hash#merge that employs a block to determine the values of keys that are present in both hashes being merged. See the doc for the definitions of the three block variables (the first of which, the common key, I've represented by an underscore to signify that it is not used in the block calculation).Lastly, drop the keys.
What about this?
PS: surely this code can be improved to look more elegant