Using SQL command to insert data
The INSERT statement is used to construct a new row and add it to a specified table.
Optional column(s) may be specified after the table name. This list contains the column names for a subset of the table’s columns. The subset must include all the primary key columns. If no columns list is present, the default columns list is the one containing all the columns of the table, in the order, they are specified in the CREATE TABLE statement.
The columns in the columns list correspond one-to-one to the expressions (or DEFAULT keywords) listed after the VALUES clause (an error is raised if the number of expressions/DEFAULTs is not the same as the number of columns). These expressions/DEFAULTs compute the value for their associated column in the new row. An error is raised if an expression returns more than one item. If an expression returns no result, NULL is used as the result of that expression. If instead of an expression, the DEFAULT keyword appears in the VALUES list, the default value of the associated column is used as the value of that column in the new row. The default value is also used for any missing columns when the number of columns in the columns list is less than the total number of columns in the table.
BaggageInfo
table providing all column
values:INSERT INTO BaggageInfo VALUES(
1762392196147,
"Birgit Naquin",
"M",
"165-742-5715",
"QD1L0T",
[ {
"id" : "7903989918469",
"tagNum" : "17657806240229",
"routing" : "JFK/MAD",
"lastActionCode" : "OFFLOAD",
"lastActionDesc" : "OFFLOAD",
"lastSeenStation" : "MAD",
"flightLegs" : [ {
"flightNo" : "BM495",
"flightDate" : "2019-03-07T07:00:00Z",
"fltRouteSrc" : "JFK",
"fltRouteDest" : "MAD",
"estimatedArrival" : "2019-03-07T14:00:00Z",
"actions" : [ {
"actionAt" : "MAD",
"actionCode" : "Offload to Carousel at MAD",
"actionTime" : "2019-03-07T13:54:00Z"
}, {
"actionAt" : "JFK",
"actionCode" : "ONLOAD to MAD",
"actionTime" : "2019-03-07T07:00:00Z"
}, {
"actionAt" : "JFK",
"actionCode" : "BagTag Scan at JFK",
"actionTime" : "2019-03-07T06:53:00Z"
}, {
"actionAt" : "JFK",
"actionCode" : "Checkin at JFK",
"actionTime" : "2019-03-07T05:03:00Z"
} ]
} ],
"lastSeenTimeGmt" : "2019-03-07T13:51:00Z",
"bagArrivalDate" : "2019-03-07T13:51:00Z"
} ]
)
Example 2: Skipping some data while doing an INSERT statement by specifying the DEFAULT clause.
INSERT INTO BaggageInfo VALUES(
1762397286805,
"Bonnie Williams",
DEFAULT,
DEFAULT,
"CZ1O5I",
[ {
"id" : "79039899129693",
"tagNum" : "17657806216554",
"routing" : "SFO/ORD/FRA",
"lastActionCode" : "OFFLOAD",
"lastActionDesc" : "OFFLOAD",
"lastSeenStation" : "FRA",
"flightLegs" : [ {
"flightNo" : "BM572",
"flightDate" : "2019-03-02T05:00:00Z",
"fltRouteSrc" : "SFO",
"fltRouteDest" : "ORD",
"estimatedArrival" : "2019-03-02T09:00:00Z",
"actions" : [ {
"actionAt" : "SFO",
"actionCode" : "ONLOAD to ORD",
"actionTime" : "2019-03-02T05:24:00Z"
}, {
"actionAt" : "SFO",
"actionCode" : "BagTag Scan at SFO",
"actionTime" : "2019-03-02T04:52:00Z"
}, {
"actionAt" : "SFO",
"actionCode" : "Checkin at SFO",
"actionTime" : "2019-03-02T03:28:00Z"
} ]
}, {
"flightNo" : "BM582",
"flightDate" : "2019-03-02T05:24:00Z",
"fltRouteSrc" : "ORD",
"fltRouteDest" : "FRA",
"estimatedArrival" : "2019-03-02T13:24:00Z",
"actions" : [ {
"actionAt" : "FRA",
"actionCode" : "Offload to Carousel at FRA",
"actionTime" : "2019-03-02T13:20:00Z"
}, {
"actionAt" : "ORD",
"actionCode" : "ONLOAD to FRA",
"actionTime" : "2019-03-02T12:54:00Z"
}, {
"actionAt" : "ORD",
"actionCode" : "OFFLOAD from ORD",
"actionTime" : "2019-03-02T12:30:00Z"
} ]
} ],
"lastSeenTimeGmt" : "2019-03-02T13:18:00Z",
"bagArrivalDate" : "2019-03-02T13:18:00Z"
} ]
)
Example 3: Specifying column names and skipping columns in the insert statement.
INSERT INTO BaggageInfo(ticketNo, fullName,confNo,bagInfo) VALUES(
1762355349471,
"Bryant Weber",
"LI7N1W",
[ {
"id" : "79039899149056",
"tagNum" : "17657806234185",
"routing" : "MEL/LAX/MIA",
"lastActionCode" : "OFFLOAD",
"lastActionDesc" : "OFFLOAD",
"lastSeenStation" : "MIA",
"flightLegs" : [ {
"flightNo" : "BM114",
"flightDate" : "2019-03-01T12:00:00Z",
"fltRouteSrc" : "MEL",
"fltRouteDest" : "LAX",
"estimatedArrival" : "2019-03-02T02:00:00Z",
"actions" : [ {
"actionAt" : "MEL",
"actionCode" : "ONLOAD to LAX",
"actionTime" : "2019-03-01T12:20:00Z"
}, {
"actionAt" : "MEL",
"actionCode" : "BagTag Scan at MEL",
"actionTime" : "2019-03-01T11:52:00Z"
}, {
"actionAt" : "MEL",
"actionCode" : "Checkin at MEL",
"actionTime" : "2019-03-01T11:43:00Z"
} ]
}, {
"flightNo" : "BM866",
"flightDate" : "2019-03-01T12:20:00Z",
"fltRouteSrc" : "LAX",
"fltRouteDest" : "MIA",
"estimatedArrival" : "2019-03-02T16:21:00Z",
"actions" : [ {
"actionAt" : "MIA",
"actionCode" : "Offload to Carousel at MIA",
"actionTime" : "2019-03-02T16:18:00Z"
}, {
"actionAt" : "LAX",
"actionCode" : "ONLOAD to MIA",
"actionTime" : "2019-03-02T16:12:00Z"
}, {
"actionAt" : "LAX",
"actionCode" : "OFFLOAD from LAX",
"actionTime" : "2019-03-02T16:02:00Z"
} ]
} ],
"lastSeenTimeGmt" : "2019-03-02T16:09:00Z",
"bagArrivalDate" : "2019-03-02T16:09:00Z"
} ]
)
stream_acct
table providing all column
values:INSERT INTO stream_acct VALUES(
1,
"AP",
"2023-10-18",
{
"firstName": "Adam",
"lastName": "Phillips",
"country": "Germany",
"contentStreamed": [{
"showName": "At the Ranch",
"showId": 26,
"showtype": "tvseries",
"genres": ["action", "crime", "spanish"],
"numSeasons": 4,
"seriesInfo": [{
"seasonNum": 1,
"numEpisodes": 2,
"episodes": [{
"episodeID": 20,
"episodeName": "Season 1 episode 1",
"lengthMin": 85,
"minWatched": 85,
"date": "2022-04-18"
},
{
"episodeID": 30,
"lengthMin": 60,
"episodeName": "Season 1 episode 2",
"minWatched": 60,
"date": "2022 - 04 - 18 "
}]
},
{
"seasonNum": 2,
"numEpisodes": 2,
"episodes": [{
"episodeID": 40,
"episodeName": "Season 2 episode 1",
"lengthMin": 50,
"minWatched": 50,
"date": "2022-04-25"
},
{
"episodeID": 50,
"episodeName": "Season 2 episode 2",
"lengthMin": 45,
"minWatched": 30,
"date": "2022-04-27"
}]
},
{
"seasonNum": 3,
"numEpisodes": 2,
"episodes": [{
"episodeID": 60,
"episodeName": "Season 3 episode 1",
"lengthMin": 50,
"minWatched": 50,
"date": "2022-04-25"
},
{
"episodeID": 70,
"episodeName": "Season 3 episode 2",
"lengthMin": 45,
"minWatched": 30,
"date": "2022 - 04 - 27 "
}]
}]
},
{
"showName": "Bienvenu",
"showId": 15,
"showtype": "tvseries",
"genres": ["comedy", "french"],
"numSeasons": 2,
"seriesInfo": [{
"seasonNum": 1,
"numEpisodes": 2,
"episodes": [{
"episodeID": 20,
"episodeName": "Bonjour",
"lengthMin": 45,
"minWatched": 45,
"date": "2022-03-07"
},
{
"episodeID": 30,
"episodeName": "Merci",
"lengthMin": 42,
"minWatched": 42,
"date": "2022-03-08"
}]
}]
}]
});
INSERT into storeAcct(contactPhone, firstName, lastName, address, cart) values("1817113382", "Adam", "Smith", {"street" : "Tex Ave", "number" : 401, "city" : "Houston", "state" : "TX", "zip" : 95085}, [{"item" : "handbag", "quantity" : 1, "priceperunit" : 350},{"item" : "Lego", "quantity" : 1, "priceperunit" : 5500}])
In the above example, you
insert the shopper's data by supplying the contactPhone
as the primary key
followed by other details of the shoppers. The shopper's details are stored as a single
document. Notice that in JSON collection tables, you do not supply a column name for the
document itself and you only provide the JSON fields in the document.
INSERT into storeAcct(contactPhone, firstName, lastName, gender, address, notify, cart, wishlist) values("1917113999", "Sharon", "Willard", "F", {"street" : "Maine", "number" : 501, "city" : "San Jose", "state" : "San Francisco", "zip" : 95095},"yes", [{"item" : "wallet", "quantity" : 2, "priceperunit" : 950},{"item" : "wall art", "quantity" : 1, "priceperunit" : 9500}], [{"item" : "Tshirt", "priceperunit" : 500},{"item" : "Jenga", "priceperunit" : 850}])
In the above statement, you
insert the shopper data with additional fields such as gender
,
notify
, and wishlist
as compared with the first inserted
row. The wishlist
field is a JSON array that includes the details of the
items wishlisted by the shopper.