Now I will load the content of this file using OPENROWSET(BULK) and pass content to OPENJSON function that will parse it, take the values from l_discount key, and find the average value:įrom openrowset(bulk 'D:\Temp\lineitems.json', SINGLE_NCLOB) fĬross apply openjson(f.BulkColumn) with( ) As a result, bcp.exe will generate 4.35 GB (4,677,494,824 bytes) file containing one big JSON array. Table, format them as JSON text and return them as a single cell. \SQLEXPRESS -T -wĬlock Time (ms.) Total : 103438 Average : (0.01 rows per sec.) JSON can be exported using the bcp.exe program:ĭ:\Temp>bcp "select (select * from lineitem for json path)" queryout lineitems.json -d tpch -S. I'm using TPCH database so I will export the content of In this post, you might see that JSON functions can handle very large JSON text - up to 4GB.įirst, I would need very large JSON document. SQL Server 2016 and Azure SQL Database enable you to parse JSON text and transform it into tabular format.
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