We can use copy command to load the data from JSON file to redshift table.

So it will issues the error like integer does not exist, which was not found any matching function or arguments.

In above example, we have used column name as stud_id with JSON function, stud_id datatype as integer.Select json_extract_path_text (stud_id) from redshift_json where stud_id = 101 We cannot use the integer datatype column with JSON function in redshift, we need to use only JSON type of data.īelow example shows that we cannot use the integer datatype of column with JSON function in redshift.Also, it will showing the parsing error of query.In above example, we have applied JSON function on stud_name column and trying to retrieve key-value pair as “A”, But it will showing error as invalid JSON object which was we have used in our query.Select json_extract_path_text (stud_name, 'A') as key2 from redshift_json where stud_id = 101 We can apply JSON function only on JSON type of document.īelow example shows that we can apply JSON function only on JSON type of columns. To use the JSON function on integer datatype values or the data which was not in JSON format.We can store multiple key value pair in a single column by using JSON format, we cannot stored multiple key-value pair in other format.Using JSON format we can save the storage space of storing the data.

If we want to store the small number of key-value pairs then JSON document is best suited for the same.After loading the data we can retrieve the JSON data by using following JSON functions.ġ) Is valid JSON array (IS_VALID_JSON_ARRAY) function.Ģ) Is valid JSON (IS_VALID_JSON) function.ģ) Json serialize (JSON_SERIALIZE) function.ĥ) Json extract path text (JSON_EXTRACT_PATH_TEXT) function.Ħ) Json extract array element text (JSON_EXTRACT_ARRAY_ELEMENT_TEXT) function. There are multiple options available to load the JSON documents in redshift. We can segregate the data from table column as per value which was we have used in our query.ĥ) Where condition – We can retrieve JSON document from column by using where condition in redshift.Ħ) Order by condition – We can retrieve JSON document from column by using order by condition in redshift.ħ) Group by condition – We can retrieve JSON document from column by using group by condition in redshift. We can retrieve the JSON column data using JSON function in redshift.Ģ) Select – Select command is used with JSON function to retrieve data from table by using the clauses and conditional operator.ģ) Name of column – This is the name of JSON data column which was we have using with JSON function to retrieve data from table.Ĥ) Value of json column – This is nothing but the column value which was we have using to segregate the JSON document data in redshift. There are multiple JSON function available in redshift to query the JSON data. Parameter description syntax of redshift JSON.ġ) JSON function – This is the function which was we have using with JSON data to retrieve from JSON column. 2) Select json_function (name_of_json_column,) group by, order by

Aws redshift json