Sqlite.net JSON extension syntax












0















I'm trying to understand how the Sqlite JSON extensions work. Lets say a company has several branches and each branch has a catalogue of stock, so I create a table like:-



SQL = "CREATE TABLE BranchStock (branch VARCHAR, stock JSON)"
....


I then insert a few items like:-



SQL = "INSERT INTO BranchStock (branch, stock) values('Melbourne', json_array(json_object('catnumber', 'ABC123', 'instock',2), json_object('catnumber', 'BCD321', 'instock',5)))"
....

SQL = "INSERT INTO BranchStock (branch, stock) values('Sydney', json_array(json_object('catnumber', 'ABC123', 'instock',5), json_object('catnumber', 'XYZ567', 'instock',3)))"
....


Now I'm looking for the search sql to list which branches have the catnumber='ABC123', and the instock amounts. Perhaps something like this:-



SQL = "SELECT branch, json_extract(stock, '$.instock') FROM BranchStock WHERE json_valid(stock) AND json_extract(stock, '$.catnumber') = 'ABC123'


Can someone help me with the correct SELECT syntax?



Thanks in advance










share|improve this question





























    0















    I'm trying to understand how the Sqlite JSON extensions work. Lets say a company has several branches and each branch has a catalogue of stock, so I create a table like:-



    SQL = "CREATE TABLE BranchStock (branch VARCHAR, stock JSON)"
    ....


    I then insert a few items like:-



    SQL = "INSERT INTO BranchStock (branch, stock) values('Melbourne', json_array(json_object('catnumber', 'ABC123', 'instock',2), json_object('catnumber', 'BCD321', 'instock',5)))"
    ....

    SQL = "INSERT INTO BranchStock (branch, stock) values('Sydney', json_array(json_object('catnumber', 'ABC123', 'instock',5), json_object('catnumber', 'XYZ567', 'instock',3)))"
    ....


    Now I'm looking for the search sql to list which branches have the catnumber='ABC123', and the instock amounts. Perhaps something like this:-



    SQL = "SELECT branch, json_extract(stock, '$.instock') FROM BranchStock WHERE json_valid(stock) AND json_extract(stock, '$.catnumber') = 'ABC123'


    Can someone help me with the correct SELECT syntax?



    Thanks in advance










    share|improve this question



























      0












      0








      0








      I'm trying to understand how the Sqlite JSON extensions work. Lets say a company has several branches and each branch has a catalogue of stock, so I create a table like:-



      SQL = "CREATE TABLE BranchStock (branch VARCHAR, stock JSON)"
      ....


      I then insert a few items like:-



      SQL = "INSERT INTO BranchStock (branch, stock) values('Melbourne', json_array(json_object('catnumber', 'ABC123', 'instock',2), json_object('catnumber', 'BCD321', 'instock',5)))"
      ....

      SQL = "INSERT INTO BranchStock (branch, stock) values('Sydney', json_array(json_object('catnumber', 'ABC123', 'instock',5), json_object('catnumber', 'XYZ567', 'instock',3)))"
      ....


      Now I'm looking for the search sql to list which branches have the catnumber='ABC123', and the instock amounts. Perhaps something like this:-



      SQL = "SELECT branch, json_extract(stock, '$.instock') FROM BranchStock WHERE json_valid(stock) AND json_extract(stock, '$.catnumber') = 'ABC123'


      Can someone help me with the correct SELECT syntax?



      Thanks in advance










      share|improve this question
















      I'm trying to understand how the Sqlite JSON extensions work. Lets say a company has several branches and each branch has a catalogue of stock, so I create a table like:-



      SQL = "CREATE TABLE BranchStock (branch VARCHAR, stock JSON)"
      ....


      I then insert a few items like:-



      SQL = "INSERT INTO BranchStock (branch, stock) values('Melbourne', json_array(json_object('catnumber', 'ABC123', 'instock',2), json_object('catnumber', 'BCD321', 'instock',5)))"
      ....

      SQL = "INSERT INTO BranchStock (branch, stock) values('Sydney', json_array(json_object('catnumber', 'ABC123', 'instock',5), json_object('catnumber', 'XYZ567', 'instock',3)))"
      ....


      Now I'm looking for the search sql to list which branches have the catnumber='ABC123', and the instock amounts. Perhaps something like this:-



      SQL = "SELECT branch, json_extract(stock, '$.instock') FROM BranchStock WHERE json_valid(stock) AND json_extract(stock, '$.catnumber') = 'ABC123'


      Can someone help me with the correct SELECT syntax?



      Thanks in advance







      json sqlite sqlite3 sqlite-net






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 14 '18 at 0:52









      dbc

      53.8k869122




      53.8k869122










      asked Nov 13 '18 at 23:50









      42LeapsOfFaith42LeapsOfFaith

      515




      515
























          1 Answer
          1






          active

          oldest

          votes


















          0














          Note: I don't recommend actually using this for anything that's going to be run frequently or on huge tables, but if you absolutely have to...



          Given the following test table:



          CREATE TABLE BranchStock(branch TEXT, stock TEXT);
          INSERT INTO BranchStock VALUES('Melbourne','[{"catnumber":"ABC123","instock":2},{"catnumber":"BCD321","instock":5}]');
          INSERT INTO BranchStock VALUES('Sydney','[{"catnumber":"ABC123","instock":5},{"catnumber":"XYZ567","instock":3}]');


          Getting the branches and instock number for stores with 'ABC123':



          SELECT branch, json_extract(value, '$.instock') AS instock
          FROM BranchStock JOIN json_each(stock)
          WHERE json_extract(value, '$.catnumber') = 'ABC123';


          gives



          branch      instock   
          ---------- ----------
          Melbourne 2
          Sydney 5


          It'd be a lot easier and more efficient to do pretty much anything using a table definition like



          CREATE TABLE BranchStock(branch TEXT, catid TEXT, instock INTEGER);


          instead of trying to search through JSON data stored in a column. For example:



          SELECT branch, instock FROM BranchStock WHERE catid = 'ABC123';


          especially when you start adding indexes into the mix.






          share|improve this answer


























          • Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

            – 42LeapsOfFaith
            Nov 14 '18 at 8:18













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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          Note: I don't recommend actually using this for anything that's going to be run frequently or on huge tables, but if you absolutely have to...



          Given the following test table:



          CREATE TABLE BranchStock(branch TEXT, stock TEXT);
          INSERT INTO BranchStock VALUES('Melbourne','[{"catnumber":"ABC123","instock":2},{"catnumber":"BCD321","instock":5}]');
          INSERT INTO BranchStock VALUES('Sydney','[{"catnumber":"ABC123","instock":5},{"catnumber":"XYZ567","instock":3}]');


          Getting the branches and instock number for stores with 'ABC123':



          SELECT branch, json_extract(value, '$.instock') AS instock
          FROM BranchStock JOIN json_each(stock)
          WHERE json_extract(value, '$.catnumber') = 'ABC123';


          gives



          branch      instock   
          ---------- ----------
          Melbourne 2
          Sydney 5


          It'd be a lot easier and more efficient to do pretty much anything using a table definition like



          CREATE TABLE BranchStock(branch TEXT, catid TEXT, instock INTEGER);


          instead of trying to search through JSON data stored in a column. For example:



          SELECT branch, instock FROM BranchStock WHERE catid = 'ABC123';


          especially when you start adding indexes into the mix.






          share|improve this answer


























          • Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

            – 42LeapsOfFaith
            Nov 14 '18 at 8:18


















          0














          Note: I don't recommend actually using this for anything that's going to be run frequently or on huge tables, but if you absolutely have to...



          Given the following test table:



          CREATE TABLE BranchStock(branch TEXT, stock TEXT);
          INSERT INTO BranchStock VALUES('Melbourne','[{"catnumber":"ABC123","instock":2},{"catnumber":"BCD321","instock":5}]');
          INSERT INTO BranchStock VALUES('Sydney','[{"catnumber":"ABC123","instock":5},{"catnumber":"XYZ567","instock":3}]');


          Getting the branches and instock number for stores with 'ABC123':



          SELECT branch, json_extract(value, '$.instock') AS instock
          FROM BranchStock JOIN json_each(stock)
          WHERE json_extract(value, '$.catnumber') = 'ABC123';


          gives



          branch      instock   
          ---------- ----------
          Melbourne 2
          Sydney 5


          It'd be a lot easier and more efficient to do pretty much anything using a table definition like



          CREATE TABLE BranchStock(branch TEXT, catid TEXT, instock INTEGER);


          instead of trying to search through JSON data stored in a column. For example:



          SELECT branch, instock FROM BranchStock WHERE catid = 'ABC123';


          especially when you start adding indexes into the mix.






          share|improve this answer


























          • Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

            – 42LeapsOfFaith
            Nov 14 '18 at 8:18
















          0












          0








          0







          Note: I don't recommend actually using this for anything that's going to be run frequently or on huge tables, but if you absolutely have to...



          Given the following test table:



          CREATE TABLE BranchStock(branch TEXT, stock TEXT);
          INSERT INTO BranchStock VALUES('Melbourne','[{"catnumber":"ABC123","instock":2},{"catnumber":"BCD321","instock":5}]');
          INSERT INTO BranchStock VALUES('Sydney','[{"catnumber":"ABC123","instock":5},{"catnumber":"XYZ567","instock":3}]');


          Getting the branches and instock number for stores with 'ABC123':



          SELECT branch, json_extract(value, '$.instock') AS instock
          FROM BranchStock JOIN json_each(stock)
          WHERE json_extract(value, '$.catnumber') = 'ABC123';


          gives



          branch      instock   
          ---------- ----------
          Melbourne 2
          Sydney 5


          It'd be a lot easier and more efficient to do pretty much anything using a table definition like



          CREATE TABLE BranchStock(branch TEXT, catid TEXT, instock INTEGER);


          instead of trying to search through JSON data stored in a column. For example:



          SELECT branch, instock FROM BranchStock WHERE catid = 'ABC123';


          especially when you start adding indexes into the mix.






          share|improve this answer















          Note: I don't recommend actually using this for anything that's going to be run frequently or on huge tables, but if you absolutely have to...



          Given the following test table:



          CREATE TABLE BranchStock(branch TEXT, stock TEXT);
          INSERT INTO BranchStock VALUES('Melbourne','[{"catnumber":"ABC123","instock":2},{"catnumber":"BCD321","instock":5}]');
          INSERT INTO BranchStock VALUES('Sydney','[{"catnumber":"ABC123","instock":5},{"catnumber":"XYZ567","instock":3}]');


          Getting the branches and instock number for stores with 'ABC123':



          SELECT branch, json_extract(value, '$.instock') AS instock
          FROM BranchStock JOIN json_each(stock)
          WHERE json_extract(value, '$.catnumber') = 'ABC123';


          gives



          branch      instock   
          ---------- ----------
          Melbourne 2
          Sydney 5


          It'd be a lot easier and more efficient to do pretty much anything using a table definition like



          CREATE TABLE BranchStock(branch TEXT, catid TEXT, instock INTEGER);


          instead of trying to search through JSON data stored in a column. For example:



          SELECT branch, instock FROM BranchStock WHERE catid = 'ABC123';


          especially when you start adding indexes into the mix.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 14 '18 at 4:32

























          answered Nov 14 '18 at 4:20









          ShawnShawn

          3,6781613




          3,6781613













          • Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

            – 42LeapsOfFaith
            Nov 14 '18 at 8:18





















          • Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

            – 42LeapsOfFaith
            Nov 14 '18 at 8:18



















          Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

          – 42LeapsOfFaith
          Nov 14 '18 at 8:18







          Thank you very much, it's exactly what I was looking for. I take your point that it is not the solution for performance - but it does offer a simple db design... Thanks again.

          – 42LeapsOfFaith
          Nov 14 '18 at 8:18




















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