对父表使用 NESTED TABLES
JOIN 用于基于两个或多个表中的相关列组合行。在分层表中，子表继承其父表的主键列。这是隐式执行的，不会在子项的 CREATE TABLE 语句中包含父列。层次结构中的所有表都具有相同的分片键列。
可以使用 NESTED TABLES 子句联接 Oracle NoSQL Database 中的表。
NESTED TABLES 概览
NESTED TABLES 子句指定参与表并将其分为 3 个组。首先，指定从中提取数据的目标表。然后，ANCESTORS 子句（如果存在）指定在表层次结构中必须是目标表的祖先的表数。最后，DESCENDANTS 子句（如果存在）指定在表层次中必须是目标表的后代的表数。
注意：
从语义上讲，NESTED TABLES 子句等效于目标表周围的一些左外部联接操作“居中”。NESTED 表的特征：
- 查询同一层次结构中的多个表
- 它不是 ANSI-SQL 标准
- 它支持同级表联接
表 - 嵌套表与 LOJ
| 嵌套表 | LOJ |
|---|---|
| 查询同一层次结构中的多个表 | 查询同一层次结构中的多个表 |
| 不是 ANSI-SQL 标准 | ANSI-SQL 标准 |
| 支持同级表联接 | 不支持同级表联接 |
如果要随示例一起执行操作，请下载脚本 parentchildtbls_loaddata.sql 并按如下所示运行该脚本。此脚本将创建示例中使用的表，并将数据加载到表中。
启动 KVSTORE 或 KVLite 并打开 SQL.shell。
java -jar lib/kvstore.jar kvlite -secure-config disable
java -jar lib/sql.jar -helper-hosts localhost:5000 -store kvstoreparentchildtbls_loaddata.sql 包含以下内容：### Begin Script ###
load -file parentchild.ddl
import -table ticket -file ticket.json
import -table ticket.bagInfo -file bagInfo.json
import -table ticket.passengerInfo -file passengerInfo.json
import -table ticket.bagInfo.flightLegs -file flightLegs.json
### End Script ###使用
load 命令运行该脚本。load -file parentchildtbls_loaddata.sql您可以使用 OCI 控制台创建示例中使用的表，并将数据加载到表中。在 OCI 控制台中，使用高级 DDL 输入模式使用下面给出的 DDL 语句创建以下表。
### CREATE table ticket if not present ###
CREATE TABLE IF NOT EXISTS ticket(ticketNo LONG,
confNo STRING,
PRIMARY KEY(ticketNo));
### CREATE table ticket.baginfo if not present ###
CREATE TABLE IF NOT EXISTS ticket.bagInfo(id LONG,tagNum LONG,routing STRING,
lastActionCode STRING,
lastActionDesc STRING,
lastSeenStation STRING,
lastSeenTimeGmt TIMESTAMP(4),
bagArrivalDate TIMESTAMP(4), PRIMARY KEY(id));
### CREATE table ticket.bagInfo.flightLegs if not present ###
CREATE TABLE IF NOT EXISTS ticket.bagInfo.flightLegs(flightNo STRING,
flightDate TIMESTAMP(4),
fltRouteSrc STRING,
fltRouteDest STRING,
estimatedArrival TIMESTAMP(4),
actions JSON, PRIMARY KEY(flightNo));
### CREATE table ticket.passengerInfo if not present ###
CREATE TABLE IF NOT EXISTS ticket.passengerInfo(contactPhone STRING,
fullName STRING,
gender STRING, PRIMARY KEY(contactPhone));有关使用 DDL 语句创建表的步骤，请参见 Creating Singleton Table：Advanced DDL Input Mode 。
要将数据加载到从 OCI 控制台创建的表中，请单击表名。显示表的详细信息。单击上载数据。单击选择要上载的文件并提供要上载的 JSON 文件。您可以在此处下载父子表的 DDL 和 JSON 文件。
使用嵌套表的示例
示例中使用的各种表：
-
ticketticketNo LONG confNo STRING PRIMARY KEY(ticketNo) -
ticket.bagInfoid LONG tagNum LONG routing STRING lastActionCode STRING lastActionDesc STRING lastSeenStation STRING, lastSeenTimeGmt TIMESTAMP(4) bagArrivalDate TIMESTAMP(4) PRIMARY KEY(id) -
ticket.bagInfo.flightLegsflightNo STRING flightDate TIMESTAMP(4) fltRouteSrc STRING fltRouteDest STRING estimatedArrival TIMESTAMP(4), actions JSON PRIMARY KEY(flightNo) -
ticket.passengerInfocontactPhone STRING fullName STRING gender STRING PRIMARY KEY(contactPhone)
SQL 示例
示例 1：获取已签发机票的所有乘客的详细信息。
SELECT fullname, contactPhone, gender
FROM NESTED TABLES
(ticket a descendants(ticket.passengerInfo b))解释：这是连接示例，其中目标表 ticket 与其子表 passengerInfo 联接。
输出：
{"fullname":"Elane Lemons","contactPhone":"600-918-8404","gender":"F"}
{"fullname":"Adelaide Willard","contactPhone":"421-272-8082","gender":"M"}
{"fullname":"Dierdre Amador","contactPhone":"165-742-5715","gender":"M"}
{"fullname":"Doris Martin","contactPhone":"289-564-3497","gender":"F"}
{"fullname":"Adam Phillips","contactPhone":"893-324-1064","gender":"M"}示例 1a：获取票证编号为 1762324912391 的乘客的详细信息。
SELECT fullname, contactPhone, gender
FROM NESTED TABLES
(ticket a descendants(ticket.passengerInfo b))
WHERE a.ticketNo=1762324912391解释：这是连接示例，其中目标表 ticket 与其子表 passengerInfo 联接。此外，还可以通过对联接结果应用过滤条件来限制结果集。您将结果限制为特定票证编号。
输出：
{"fullname":"Elane Lemons","contactPhone":"600-918-8404","gender":"F"}示例 2：提取已签发机票的所有乘客的所有包详细信息。
SELECT * FROM NESTED TABLES
(ticket a descendants(ticket.bagInfo b))解释：这是连接示例，其中目标表 ticket 与其子表 bagInfo 联接。
输出：
{"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},
"b":{"ticketNo":1762344493810,"id":79039899165297,"tagNum":17657806255240,"routing":"MIA/LAX/MEL",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"MEL",
"lastSeenTimeGmt":"2019-02-01T16:13:00.0000Z","bagArrivalDate":"2019-02-01T16:13:00.0000Z"}}
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"},
"b":{"ticketNo":1762324912391,"id":79039899168383,"tagNum":1765780623244,"routing":"MXP/CDG/SLC/BZN",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"BZN",
"lastSeenTimeGmt":"2019-03-15T10:13:00.0000Z","bagArrivalDate":"2019-03-15T10:13:00.0000Z"}}
{"a":{"ticketNo":1762392135540,"confNo":"DN3I4Q"},
"b":{"ticketNo":1762392135540,"id":79039899156435,"tagNum":17657806224224,"routing":"GRU/ORD/SEA",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"SEA",
"lastSeenTimeGmt":"2019-02-15T21:21:00.0000Z","bagArrivalDate":"2019-02-15T21:21:00.0000Z"}}
{"a":{"ticketNo":1762376407826,"confNo":"ZG8Z5N"},
"b":{"ticketNo":1762376407826,"id":7903989918469,"tagNum":17657806240229,"routing":"JFK/MAD",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"MAD",
"lastSeenTimeGmt":"2019-03-07T13:51:00.0000Z","bagArrivalDate":"2019-03-07T13:51:00.0000Z"}}
{"a":{"ticketNo":1762355527825,"confNo":"HJ4J4P"},
"b":{"ticketNo":1762355527825,"id":79039899197492,"tagNum":17657806232501,"routing":"BZN/SEA/CDG/MXP",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"MXP",
"lastSeenTimeGmt":"2019-03-22T10:17:00.0000Z","bagArrivalDate":"2019-03-22T10:17:00.0000Z"}}示例 2a ：提取特定票证编号的所有包详细信息。
SELECT * FROM
NESTED TABLES (ticket a descendants(ticket.bagInfo b))
WHERE a.ticketNo=1762324912391解释：这是连接示例，其中目标表 ticket 与其子表 bagInfo 联接。此外，还可以通过对联接结果应用过滤条件来限制结果集。您将结果限制为特定票证编号。
输出：
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"},
"b":{"ticketNo":1762324912391,"id":79039899168383,"tagNum":1765780623244,"routing":"MXP/CDG/SLC/BZN",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"BZN",
"lastSeenTimeGmt":"2019-03-15T10:13:00.0000Z","bagArrivalDate":"2019-03-15T10:13:00.0000Z"}}注意：
如果将非联接谓词限制移动到 ON 子句，则结果集会包含满足 ON 子句条件的所有行。右外部表中不符合 ON 条件的行会填充 NULL 值，如下所示。SELECT * FROM
NESTED TABLES(ticket a descendants(ticket.bagInfo b
ON a.ticketNo=b.ticketNo
AND a.ticketNo=1762324912391))输出：
{"a":{"ticketNo":1762355527825,"confNo":"HJ4J4P"},"b":null}
{"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},"b":null}
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"}, "b":{"ticketNo":1762324912391,"id":79039899168383,"tagNum":1765780623244,"routing":"MXP/CDG/SLC/BZN",
"lastActionCode":"OFFLOAD","lastActionDesc":"OFFLOAD","lastSeenStation":"BZN",
"lastSeenTimeGmt":"2019-03-15T10:13:00.0000Z","bagArrivalDate":"2019-03-15T10:13:00.0000Z"}}
{"a":{"ticketNo":1762392135540,"confNo":"DN3I4Q"},"b":null}
{"a":{"ticketNo":1762376407826,"confNo":"ZG8Z5N"},"b":null}示例 3：提取所有乘客的所有飞行行程详细信息。
SELECT * FROM
NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))解释：这是连接示例，其中目标表 ticket 与其后代 bagInfo 联接。子孙表可以是分层在表下的任何级别（例如，fightLegs 是 bagInfo 的子项，它是 ticket 的子项，因此 flightLegs 是 ticket 的子项）。将提取 ticket 表中的所有行。如果 ticket 表中的任何行在 flightLegs 表中没有匹配行，则将为 flightLegs 表中的这些行显示 NULL 值。
输出：
{"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},
"b":{"ticketNo":1762344493810,"id":79039899165297,"flightNo":"BM604","flightDate":"2019-02-01T06:00:00.0000Z",
"fltRouteSrc":"MIA","fltRouteDest":"LAX","estimatedArrival":"2019-02-01T11:00:00.0000Z",
"actions":[{"actionAt":"MIA","actionCode":"ONLOAD to LAX","actionTime":"2019-02-01T06:13:00Z"},
{"actionAt":"MIA","actionCode":"BagTag Scan at MIA","actionTime":"2019-02-01T05:47:00Z"},
{"actionAt":"MIA","actionCode":"Checkin at MIA","actionTime":"2019-02-01T04:38:00Z"}]}}
{"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},
"b":{"ticketNo":1762344493810,"id":79039899165297,"flightNo":"BM667","flightDate":"2019-02-01T06:13:00.0000Z",
"fltRouteSrc":"LAX","fltRouteDest":"MEL","estimatedArrival":"2019-02-01T16:15:00.0000Z",
"actions":[{"actionAt":"MEL","actionCode":"Offload to Carousel at MEL","actionTime":"2019-02-01T16:15:00Z"},
{"actionAt":"LAX","actionCode":"ONLOAD to MEL","actionTime":"2019-02-01T15:35:00Z"},
{"actionAt":"LAX","actionCode":"OFFLOAD from LAX","actionTime":"2019-02-01T15:18:00Z"}]}}
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"},
"b":{"ticketNo":1762324912391,"id":79039899168383,"flightNo":"BM170","flightDate":"2019-03-15T08:13:00.0000Z",
"fltRouteSrc":"SLC","fltRouteDest":"BZN","estimatedArrival":"2019-03-15T10:14:00.0000Z",
"actions":[{"actionAt":"BZN","actionCode":"Offload to Carousel at BZN","actionTime":"2019-03-15T10:13:00Z"},
{"actionAt":"SLC","actionCode":"ONLOAD to BZN","actionTime":"2019-03-15T10:06:00Z"},
{"actionAt":"SLC","actionCode":"OFFLOAD from SLC","actionTime":"2019-03-15T09:59:00Z"}]}}
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"},
"b":{"ticketNo":1762324912391,"id":79039899168383,"flightNo":"BM490","flightDate":"2019-03-15T08:13:00.0000Z",
"fltRouteSrc":"CDG","fltRouteDest":"SLC","estimatedArrival":"2019-03-15T10:14:00.0000Z",
"actions":[{"actionAt":"CDG","actionCode":"ONLOAD to SLC","actionTime":"2019-03-15T09:42:00Z"},
{"actionAt":"CDG","actionCode":"BagTag Scan at CDG","actionTime":"2019-03-15T09:17:00Z"},
{"actionAt":"CDG","actionCode":"OFFLOAD from CDG","actionTime":"2019-03-15T09:19:00Z"}]}}
{"a":{"ticketNo":1762324912391,"confNo":"LN0C8R"},
"b":{"ticketNo":1762324912391,"id":79039899168383,"flightNo":"BM936","flightDate":"2019-03-15T08:00:00.0000Z",
"fltRouteSrc":"MXP","fltRouteDest":"CDG","estimatedArrival":"2019-03-15T09:00:00.0000Z",
"actions":[{"actionAt":"MXP","actionCode":"ONLOAD to CDG","actionTime":"2019-03-15T08:13:00Z"},
{"actionAt":"MXP","actionCode":"BagTag Scan at MXP","actionTime":"2019-03-15T07:48:00Z"},
{"actionAt":"MXP","actionCode":"Checkin at MXP","actionTime":"2019-03-15T07:38:00Z"}]}}
{"a":{"ticketNo":1762392135540,"confNo":"DN3I4Q"},
"b":{"ticketNo":1762392135540,"id":79039899156435,"flightNo":"BM79","flightDate":"2019-02-15T01:00:00.0000Z",
"fltRouteSrc":"GRU","fltRouteDest":"ORD","estimatedArrival":"2019-02-15T11:00:00.0000Z",
"actions":[{"actionAt":"GRU","actionCode":"ONLOAD to ORD","actionTime":"2019-02-15T01:21:00Z"},
{"actionAt":"GRU","actionCode":"BagTag Scan at GRU","actionTime":"2019-02-15T00:55:00Z"},
{"actionAt":"GRU","actionCode":"Checkin at GRU","actionTime":"2019-02-14T23:49:00Z"}]}}
{"a":{"ticketNo":1762392135540,"confNo":"DN3I4Q"}
,"b":{"ticketNo":1762392135540,"id":79039899156435,"flightNo":"BM907","flightDate":"2019-02-15T01:21:00.0000Z",
"fltRouteSrc":"ORD","fltRouteDest":"SEA","estimatedArrival":"2019-02-15T21:22:00.0000Z",
"actions":[{"actionAt":"SEA","actionCode":"Offload to Carousel at SEA","actionTime":"2019-02-15T21:16:00Z"},
{"actionAt":"ORD","actionCode":"ONLOAD to SEA","actionTime":"2019-02-15T20:52:00Z"},
{"actionAt":"ORD","actionCode":"OFFLOAD from ORD","actionTime":"2019-02-15T20:44:00Z"}]}}
{"a":{"ticketNo":1762376407826,"confNo":"ZG8Z5N"},
"b":{"ticketNo":1762376407826,"id":7903989918469,"flightNo":"BM495","flightDate":"2019-03-07T07:00:00.0000Z",
"fltRouteSrc":"JFK","fltRouteDest":"MAD","estimatedArrival":"2019-03-07T14:00:00.0000Z",
"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"}]}}
{"a":{"ticketNo":1762355527825,"confNo":"HJ4J4P"},
"b":{"ticketNo":1762355527825,"id":79039899197492,"flightNo":"BM386","flightDate":"2019-03-22T07:23:00.0000Z",
"fltRouteSrc":"CDG","fltRouteDest":"MXP","estimatedArrival":"2019-03-22T10:24:00.0000Z",
"actions":[{"actionAt":"MXP","actionCode":"Offload to Carousel at MXP","actionTime":"2019-03-22T10:15:00Z"},
{"actionAt":"CDG","actionCode":"ONLOAD to MXP","actionTime":"2019-03-22T10:09:00Z"},
{"actionAt":"CDG","actionCode":"OFFLOAD from CDG","actionTime":"2019-03-22T10:01:00Z"}]}}
{"a":{"ticketNo":1762355527825,"confNo":"HJ4J4P"},
"b":{"ticketNo":1762355527825,"id":79039899197492,"flightNo":"BM578","flightDate":"2019-03-22T07:23:00.0000Z",
"fltRouteSrc":"SEA","fltRouteDest":"CDG","estimatedArrival":"2019-03-21T23:24:00.0000Z",
"actions":[{"actionAt":"SEA","actionCode":"ONLOAD to CDG","actionTime":"2019-03-22T11:26:00Z"},
{"actionAt":"SEA","actionCode":"BagTag Scan at SEA","actionTime":"2019-03-22T10:57:00Z"},
{"actionAt":"SEA","actionCode":"OFFLOAD from SEA","actionTime":"2019-03-22T11:07:00Z"}]}}
{"a":{"ticketNo":1762355527825,"confNo":"HJ4J4P"},
"b":{"ticketNo":1762355527825,"id":79039899197492,"flightNo":"BM704","flightDate":"2019-03-22T07:00:00.0000Z",
"fltRouteSrc":"BZN","fltRouteDest":"SEA","estimatedArrival":"2019-03-22T09:00:00.0000Z",
"actions":[{"actionAt":"BZN","actionCode":"ONLOAD to SEA","actionTime":"2019-03-22T07:23:00Z"},
{"actionAt":"BZN","actionCode":"BagTag Scan at BZN","actionTime":"2019-03-22T06:58:00Z"},
{"actionAt":"BZN","actionCode":"Checkin at BZN","actionTime":"2019-03-22T05:20:00Z"}]}}示例 3a：获取特定票证编号的所有飞行行程详细信息。
SELECT * FROM
NESTED TABLES (ticket.bagInfo.flightLegs b ancestors(ticket a))
WHERE a.ticketNo=1762344493810解释：这是连接示例，其中目标表 ticket 与其后代 bagInfo 联接。此外，还可以通过对联接结果应用过滤条件来限制结果集。您将结果限制为特定票证编号。
结果包含两行，表示此票证编号有两个飞行行程。
输出：
"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},
"b":{"ticketNo":1762344493810,"id":79039899165297,"flightNo":"BM604",
"flightDate":"2019-02-01T06:00:00.0000Z","fltRouteSrc":"MIA","fltRouteDest":"LAX",
"estimatedArrival":"2019-02-01T11:00:00.0000Z",
"actions":[{"actionAt":"MIA","actionCode":"ONLOAD to LAX","actionTime":"2019-02-01T06:13:00Z"},
{"actionAt":"MIA","actionCode":"BagTag Scan at MIA","actionTime":"2019-02-01T05:47:00Z"},
{"actionAt":"MIA","actionCode":"Checkin at MIA","actionTime":"2019-02-01T04:38:00Z"}]}}
{"a":{"ticketNo":1762344493810,"confNo":"LE6J4Z"},
"b":{"ticketNo":1762344493810,"id":79039899165297,"flightNo":"BM667",
"flightDate":"2019-02-01T06:13:00.0000Z","fltRouteSrc":"LAX","fltRouteDest":"MEL",
"estimatedArrival":"2019-02-01T16:15:00.0000Z",
"actions":[{"actionAt":"MEL","actionCode":"Offload to Carousel at MEL","actionTime":"2019-02-01T16:15:00Z"},
{"actionAt":"LAX","actionCode":"ONLOAD to MEL","actionTime":"2019-02-01T15:35:00Z"},
{"actionAt":"LAX","actionCode":"OFFLOAD from LAX","actionTime":"2019-02-01T15:18:00Z"}]}}示例 4：为所有乘客的所有行李提取行李 ID 和跃点数。
SELECT b.id,count(*) AS NUMBER_HOPS
FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))
GROUP BY b.id解释：您可以根据包 ID（使用 GROUP BY）对数据进行分组，并获取每个包的飞行行程计数（使用 count()）。
输出：
{"id":79039899168383,"NUMBER_HOPS":3}
{"id":79039899156435,"NUMBER_HOPS":2}
{"id":7903989918469,"NUMBER_HOPS":1}
{"id":79039899165297,"NUMBER_HOPS":2}
{"id":79039899197492,"NUMBER_HOPS":3}示例 4a：查找特定乘客的所有行李的跃点数。
SELECT b.id,count(*) AS NUMBER_HOPS FROM
NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))
WHERE a.ticketNo=1762355527825
GROUP BY b.id解释：您可以根据包 ID（使用 GROUP BY）对数据进行分组，并获取每个包的飞行行程计数（使用 count()）。此外，您还可以筛选特定票证编号的结果。
输出：
{"id":79039899197492,"NUMBER_HOPS":3}示例 5：提取 2019 年之后到达的所有包的包 ID 和路由详细信息。
SELECT b.id, routing FROM
NESTED TABLES(ticket a descendants(ticket.bagInfo b))
WHERE CAST (b.bagArrivalDate AS Timestamp(0))>=
CAST ("2019-01-01T00:00:00" AS Timestamp(0))解释：这是连接示例，其中目标表 ticket 与其子表 bagInfo 联接。过滤条件应用于 bagArrivalDate。CAST 函数用于将字符串转换为时间戳，然后比较值。
输出：
{"id":79039899197492,"routing":"BZN/SEA/CDG/MXP"}
{"id":79039899165297,"routing":"MIA/LAX/MEL"}
{"id":79039899168383,"routing":"MXP/CDG/SLC/BZN"}
{"id":79039899156435,"routing":"GRU/ORD/SEA"}
{"id":7903989918469,"routing":"JFK/MAD"}查询 API 示例
要执行查询，请使用 NoSQLHandle.query() API。
Download the full code TableJoins.java from the examples here.
/* fetch rows based on joins*/
private static void fetchRows(NoSQLHandle handle,String sql_stmt) throws Exception {
try (
QueryRequest queryRequest = new QueryRequest().setStatement(sql_stmt);
QueryIterableResult results = handle.queryIterable(queryRequest)) {
System.out.println("Query results:");
for (MapValue res : results) {
System.out.println("\t" + res);
}
}
}
System.out.println("Fetching data using NESTED TABLES:");
String sql_stmt_nt ="SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))";
/* fetching rows using nested tables*/
fetchRows(handle,sql_stmt_nt);要执行查询，请使用 borneo.NoSQLHandle.query() 方法。
Download the full code TableJoins.py from the examples here.
# Fetch data from the table based on joins
def fetch_data(handle,sqlstmt):
request = QueryRequest().set_statement(sqlstmt)
print('Query results for: ' + sqlstmt)
result = handle.query(request)
for r in result.get_results():
print('\t' + str(r))
sql_stmt_nt='SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))'
print('Fetching data using NESTED TABLES ')
fetch_data(handle,sql_stmt_nt)要执行查询，请使用 Client.Query 函数。
Download the full code TableJoins.go from the examples here.
func fetchData(client *nosqldb.Client, err error,
tableName string, querystmt string)(){
prepReq := &nosqldb.PrepareRequest{ Statement: querystmt,}
prepRes, err := client.Prepare(prepReq)
if err != nil {
fmt.Printf("Prepare failed: %v\n", err)
return
}
queryReq := &nosqldb.QueryRequest{
PreparedStatement: &prepRes.PreparedStatement,}
var results []*types.MapValue
for {
queryRes, err := client.Query(queryReq)
if err != nil {
fmt.Printf("Query failed: %v\n", err)
return
}
res, err := queryRes.GetResults()
if err != nil {
fmt.Printf("GetResults() failed: %v\n", err)
return
}
results = append(results, res...)
if queryReq.IsDone() {
break
}
}
for i, r := range results {
fmt.Printf("\t%d: %s\n", i+1,
jsonutil.AsJSON(r.Map()))
}
}
querystmt_nt:= "SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b)"
fmt.Println("Fetching data using NESTED TABLES")
fetchData(client, err,querystmt_nt)要执行查询，请使用 query 方法。
JavaScript: Download the full code TableJoins.js from the examples here.
//fetches data from the table
async function fetchData(handle,querystmt) {
const opt = {};
try {
do {
const result = await handle.query(querystmt, opt);
for(let row of result.rows) {
console.log(' %O', row);
}
opt.continuationKey = result.continuationKey;
} while(opt.continuationKey);
} catch(error) {
console.error(' Error: ' + error.message);
}
}
const stmt_nt = 'SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))';
console.log("Fetching data using NESTED TABLES");
await fetchData(handle,stmt_nt);TypeScript: Download the full code TableJoins.ts from the examples here.
interface StreamInt {
acct_Id: Integer;
profile_name: String;
account_expiry: TIMESTAMP;
acct_data: JSON;
}/* fetches data from the table */
async function fetchData(handle: NoSQLClient,querystmt: string) {
const opt = {};
try {
do {
const result = await handle.query<StreamInt>(querystmt, opt);
for(let row of result.rows) {
console.log(' %O', row);
}
opt.continuationKey = result.continuationKey;
} while(opt.continuationKey);
} catch(error) {
console.error(' Error: ' + error.message);
}
}
const stmt_nt = 'SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))';
console.log("Fetching data using NESTED TABLES");
await fetchData(handle,stmt_nt);要执行查询，可以调用 QueryAsync 方法或调用 GetQueryAsyncEnumerable 方法并迭代生成的异步可枚举。
Download the full code TableJoins.cs from the examples here.
private static async Task fetchData(NoSQLClient client,String querystmt){
var queryEnumerable = client.GetQueryAsyncEnumerable(querystmt);
await DoQuery(queryEnumerable);
}
private static async Task DoQuery(IAsyncEnumerable<QueryResult<RecordValue>> queryEnumerable){
Console.WriteLine(" Query results:");
await foreach (var result in queryEnumerable) {
foreach (var row in result.Row
{
Console.WriteLine();
Console.WriteLine(row.ToJsonString());
}
}
}
private const string stmt_nt ="SELECT * FROM NESTED TABLES (ticket a descendants(ticket.bagInfo.flightLegs b))";
Console.WriteLine("Fetching data using NESTED TABLES: ");
await fetchData(client,stmt_nt);