Step 1. Copy Data Into the Target Table¶
Execute COPY INTO <table> to load your staged data into
the target RAW_SOURCE table.
COPY INTO raw_source
FROM @my_stage/server/2.6/2016/07/15/15
FILE_FORMAT = (TYPE = JSON);
The command copies all new data from the specified path on the external stage
to the target RAW_SOURCE table. In this example, the specified path targets data
written on the 15th hour (3 PM) of July 15th, 2016.
Note that Snowflake checks each file’s S3 ETag value to ensure it is
copied only once.
Execute a SELECT query to verify the data is copied successfully.
SELECT * FROM raw_source;
The query returns the following result:
+-----------------------------------------------------------------------------------+
| SRC |
|-----------------------------------------------------------------------------------|
| { |
| "device_type": "server", |
| "events": [ |
| { |
| "f": 83, |
| "rv": "15219.64,783.63,48674.48,84679.52,27499.78,2178.83,0.42,74900.19", |
| "t": 1437560931139, |
| "v": { |
| "ACHZ": 42869, |
| "ACV": 709489, |
| "DCA": 232, |
| "DCV": 62287, |
| "ENJR": 2599, |
| "ERRS": 205, |
| "MXEC": 487, |
| "TMPI": 9 |
| }, |
| "vd": 54, |
| "z": 1437644222811 |
| }, |
| { |
| "f": 1000083, |
| "rv": "8070.52,54470.71,85331.27,9.10,70825.85,65191.82,46564.53,29422.22", |
| "t": 1437036965027, |
| "v": { |
| "ACHZ": 6953, |
| "ACV": 346795, |
| "DCA": 250, |
| "DCV": 46066, |
| "ENJR": 9033, |
| "ERRS": 615, |
| "MXEC": 0, |
| "TMPI": 112 |
| }, |
| "vd": 626, |
| "z": 1437660796958 |
| } |
| ], |
| "version": 2.6 |
| } |
+-----------------------------------------------------------------------------------+
In this sample JSON data, there are two events. The device_type,
and version key values identify a data source and version for
events from a specific device.
Next: Step 2. Query Data