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we would like to bring support for contains operator in cps-path. 

contains() is a method in XPath expression. It is used when the value of any attribute changes dynamically, below are the examples,

Reference

CPS-1272

Issues & decisions

Native query for Contains Operator  using Like Keyword :

#

Issue

Notes

Decisions
1

cpsdb=# SELECT * FROM FRAGMENT WHERE anchor_id = 4 and attributes->>'lang' ilike '%En%';

Query Response :

Json Response
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}                                                                                                
{
 "lang": "English", 
 "price": 895, 
 "title": "Feersum Endjinn", 
 "authors": [
            "Iain M. Banks"
 ], 
"pub_year":1994
}    

  As per discussion , with Toine Siebelink  Prefers Contains Xpath is case sensitive , So ilike keyword would be suitable to implement the contains query which support case sensitive attribute values.

Need to discuss with stakeholders.

#

Json Data

CPS-PATH Syntax

Output

1

Below is the sample data ,
 Here  are ways  to use contains keyword :
Json data
{
   "test:bookstore":{
      "bookstore-name": "Chapters",
      "categories": [
         {
            "code": "01",
            "name": "SciFi",
            "books": [
               {
                  "authors": [
                     "Iain M. Banks"
                  ],
                  "lang": "english",
                  "price": "895",
                  "pub_year": "1994",
                  "title": "Feersum Endjinn"
               }
            ]
         },
         {
            "name": "kids",
            "code": "02",
            "books": [
               {
                  "authors": [
                     "Philip Pullman"
                  ],
                  "lang": "Science",
                  "price": "699",
                  "pub_year": "1995",
                  "title": "The Golden Compass"
               }
            ]
         }
    ]
   }
}
<cps-path>(contains'[@leafname,'<string-value>']')

Examples
  • //books[contains(@lang,'en')
  • //books[contains(@pub_year,'99')
Json Response
{
 "lang": "en", 
 "price": 895, 
 "title": "Feersum Endjinn", 
 "authors": [
            "Iain M. Banks"
 ], 
"pub_year":1994
}  
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}            

                                                                                                    
                                                                                       





Native Query for contains keyword

1.Using LIKE Keyword :

Like operator is used to match specified matching pattern. It has two signs :

% : Matches any sequence of character, the character size may be 0 or more.

_ : Matches any single character.

#

Query

Output

1

cpsdb=# SELECT * FROM FRAGMENT WHERE anchor_id = 4 and attributes->>'lang' like '%en%';

Json Response
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}                                                                                                
{
 "lang": "english", 
 "price": 895, 
 "title": "Feersum Endjinn", 
 "authors": [
            "Iain M. Banks"
 ], 
"pub_year":1994
}    
            
2cpsdb=# SELECT * FROM FRAGMENT WHERE anchor_id = 4 and attributes->>'lang' ilike '%En%';
Json Response
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}                                                                                                
{
 "lang": "English", 
 "price": 895, 
 "title": "Feersum Endjinn", 
 "authors": [
            "Iain M. Banks"
 ], 
"pub_year":1994
}              
3cpsdb=# SELECT * FROM FRAGMENT WHERE anchor_id = 4 and attributes->>'lang' like 'en';
Json Response
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}           

2.Using SIMILAR TO Regular Expression Keyword :

The only difference between like and similar to is to pattern matches the given string. It is similar to LIKE, except that it interprets the pattern using the SQL standard's definition of a regular expression

SIMILAR TO supports these pattern-matching metacharacters borrowed from POSIX regular expressions:

  • | denotes alternation (either of two alternatives).

  • * denotes repetition of the previous item zero or more times.

  • + denotes repetition of the previous item one or more times.

  • ? denotes repetition of the previous item zero or one time.

  • {m} denotes repetition of the previous item exactly m times.

  • {m,} denotes repetition of the previous item m or more times.

  • {m,n} denotes repetition of the previous item at least m and not more than n times.

  • Parentheses () can be used to group items into a single logical item.

  • A bracket expression [...] specifies a character class, just as in POSIX regular expressions.

#

Query

Output

1cpsdb=# SELECT * FROM FRAGMENT WHERE anchor_id = 3 and attributes->>'pub_year'similar to '%(94|95)%';
Json Response
{
 "lang": "en", 
 "price": 699, 
 "title": "The Golden Compass", 
 "authors": [
           "Philip Pullman"
 ], 
"pub_year":1995
}                                                                                               
{
 "lang": "english", 
 "price": 895, 
 "title": "Feersum Endjinn", 
 "authors": [
            "Iain M. Banks"
 ], 
"pub_year":1994
}              

Performance wise : As we are not making much changes for query , the performance is similar to existing query will not effect much

Implementation of Contains Operator

1.Update antlr parser to recognize this pattern
2.Implement required (native) query
3.Add db-container tests for
     a.filter on string leaf-value
     b.filter on Integer leaf-value
     c.filter on leaf-list value
4.Update documentation
5.demo to team 


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