Querying elastic search in Kibana using Json

Hi, I have set up my Elk stack and everything seems to be working perfectly in terms of indexing and filtering data that i require.

My log file contains the following :

123  	     20126254	   6718	 Chicken
1234	     20326254	   6718	 Bread
123	     20126254	   6718	 Chicken
123	     20126254	   6718	 Chicken
12345	     20426254	   6718	 Rice
123456       20526254      6718  apples
123          20126254	   6718	 Chicken

When i filter the results with grok i get the following output for each line in my log file:

OrderNumber : 123
ProductId: 20126254 
ProductType:  6718
ProductName: Chicken

I need some advice on how to go about querying this data in elastic search in order to get specific results.

This is what i would like to do:

Select all OrderNumbers that contain the same productId

Please advise me on how i should go about doing this?

Should i use json?

Thanks.

Select all OrderNumbers that contain the same productId

Do you mean "select all documents that have a particular product id (e.g. 20126254)"? Or do you want to select all documents but group them by the product id?

when i run this query it should return the follwoing :

Current Data in one index

123  	     20126254	   6718	 Chicken
1234	     20326254	   6718	 Bread
12363	     20126254	   6718	 Chicken
12323	     20126254	   6718	 Chicken
12345	     20426254	   6718	 Rice
123456    20526254      6718  apples
12379       20126254	   6718	 Chicken

After i run query i would like to see the follwoing result :

123  	     20126254	   6718	 Chicken
12363        20126254	   6718	 Chicken
12379        20126254	   6718	 Chicken
12323	     20126254	   6718	 Chicken

As you can see above this will return all OrderNumbers which are different but contain the same ProductId.

OrderNumber :  123  	     
ProductId : 20126254	   

OrderNumber :  12363        
ProductId :  20126254	   


OrderNumber :  12379        
ProductId :  20126254	   

OrderNumber :  12323	     
ProductId :   20126254	   

I hope i explained correctly.

Use the query ProductId:20126254 to get all documents with the product id 20126254.