Sample data to run queries
Table 1: Airline baggage tracking application
If you want to follow along with the examples, download the script baggageschema_loaddata.sql and run it as shown below. This script creates the
table used in the example and loads data into the table. One sample row is shown
below.
"ticketNo" : 1762344493810,
"fullName" : "Adam Phillips",
"gender" : "M",
"contactPhone" : "893-324-1064",
"confNo" : "LE6J4Z",
[ {
"id" : "79039899165297",
"tagNum" : "17657806255240",
"routing" : "MIA/LAX/MEL",
"lastActionCode" : "OFFLOAD",
"lastActionDesc" : "OFFLOAD",
"lastSeenStation" : "MEL",
"flightLegs" : [ {
"flightNo" : "BM604",
"flightDate" : "2019-02-01T01:00:00",
"fltRouteSrc" : "MIA",
"fltRouteDest" : "LAX",
"estimatedArrival" : "2019-02-01T03:00:00",
"actions" : [ {
"actionAt" : "MIA",
"actionCode" : "ONLOAD to LAX",
"actionTime" : "2019-02-01T01:13:00"
}, {
"actionAt" : "MIA",
"actionCode" : "BagTag Scan at MIA",
"actionTime" : "2019-02-01T00:47:00"
}, {
"actionAt" : "MIA",
"actionCode" : "Checkin at MIA",
"actionTime" : "2019-02-01T23:38:00"
} ]
}, {
"flightNo" : "BM667",
"flightDate" : "2019-01-31T22:13:00",
"fltRouteSrc" : "LAX",
"fltRouteDest" : "MEL",
"estimatedArrival" : "2019-02-02T03:15:00",
"actions" : [ {
"actionAt" : "MEL",
"actionCode" : "Offload to Carousel at MEL",
"actionTime" : "2019-02-02T03:15:00"
}, {
"actionAt" : "LAX",
"actionCode" : "ONLOAD to MEL",
"actionTime" : "2019-02-01T07:35:00"
}, {
"actionAt" : "LAX",
"actionCode" : "OFFLOAD from LAX",
"actionTime" : "2019-02-01T07:18:00"
} ]
} ],
"lastSeenTimeGmt" : "2019-02-02T03:13:00",
"bagArrivalDate" : "2019.02.02T03:13:00"
} ]Start your KVSTORE or KVLite and open the SQL
shell.
java -jar lib/kvstore.jar kvlite -secure-config disable
java -jar lib/sql.jar -helper-hosts localhost:5000 -store kvstoreThe
baggageschema_loaddata.sql contains the
following:### Begin Script###
load -file baggageInfo.ddl
import -table baggageInfo -file baggageData.json
### End Script ###Using the
load command, run the
script.load -file baggageschema_loaddata.sqlTable 2: Streaming Media Service - Persistent user profile store
Download the script acctstream_loaddata.sql and run it as
shown below. This script creates the table used in the example and loads data into the
table. One sample row is shown
below.
1,
123456789,
"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"
}
]
}
]
}
]
}
Start your KVSTORE or KVLite and open the SQL
shell.
java -jar lib/kvstore.jar kvlite -secure-config disable
java -jar lib/sql.jar -helper-hosts localhost:5000 -store kvstoreThe
acctstream_loaddata.sql contains the
following:### Begin Script###
load -file acctstream.ddl
import -table stream_acct -file acctstreamData.json
### End Script ###Using the
load command, run the
script.load -file acctstream_loaddata.sqlTable 3: JSON collection table - Shopping application
The following code inserts data into the shopping application table. You can use this data to follow along with the examples explained in the topics.
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}]) RETURNING *;
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}]) RETURNING *;
insert into storeAcct(contactPhone, firstName, lastName, address, notify, cart, orders) values("1617114988", "Lorenzo", "Phil", {"Dropbox" : "Presidency College", "city" : "Kansas City", "state" : "Alabama", "zip" : 95065},"yes", [{"item" : "A4 sheets", "quantity" : 2, "priceperunit" : 500},{"item" : "Mobile Holder", "quantity" : 1, "priceperunit" : 700}], [{"orderID" : "101200", "item" : "AG Novels 1", "EstDelivery" : "2023-11-15", "priceperunit" : 950, "status" : "Preparing to dispatch"},{"orderID" : "101200", "item" : "Wallpaper", "EstDelivery" : "2023-11-01", "priceperunit" : 950, "status" : "Transit"}]) RETURNING *;
insert into storeAcct(contactPhone, firstName, lastName, address, cart, orders) values("1517113582", "Dierdre", "Amador", {"street" : "Tex Ave", "number" : 651, "city" : "Houston", "state" : "TX", "zip" : 95085}, NULL, [{"orderID" : "201200", "item" : "handbag", "EstDelivery" : "2023-11-01", "priceperunit" : 350},{"orderID" : "201201", "item" : "Lego", "EstDelivery" : "2023-11-01", "priceperunit" : 5500}]) RETURNING *;
insert into storeAcct(contactPhone, firstName, lastName, address, notify, cart, orders) values("1417114488", "Doris", "Martin", {"Dropbox" : "Presidency College", "city" : "Kansas City", "state" : "Alabama", "zip" : 95065},"yes", [{"item" : "Notebooks", "quantity" : 2, "priceperunit" : 50},{"item" : "Pens", "quantity" : 2, "priceperunit" : 50}], [{"orderID" : "301200", "item" : "Laptop Bag", "EstDelivery" : "2023-11-15", "priceperunit" : 1950, "status" : "Preparing to dispatch"},{"orderID" : "301200", "item" : "Mouse", "EstDelivery" : "2023-11-02", "priceperunit" : 950, "status" : "Transit"}]) RETURNING *;