在 SQL 中使用主要表示式
如果您想要跟隨範例，請參閱執行查詢的範例資料以檢視範例資料，並瞭解如何使用 OCI 主控台建立範例表格，並使用 JSON 檔案載入資料。
括號化表示式
括號化表示式主要用來更改運算子之間的預設優先順序。它們也用來作為混合運算式的語法輔助，以其他方式會造成語法模糊。
範例：擷取乘客在 JFK 登機 / 經由 JFK 旅行的全名、標籤編號及遞送明細，而其目的地為 MAD 或 VIE。
SELECT fullName, bag.bagInfo.tagNum,
bag.bagInfo.routing,
bag.bagInfo[].flightLegs[].fltRouteDest
FROM BaggageInfo bag
WHERE bag.bagInfo.flightLegs[].fltRouteSrc=any "JFK" AND
(bag.bagInfo[].flightLegs[].fltRouteDest=any "MAD" OR
bag.bagInfo[].flightLegs[].fltRouteDest=any "VIE" )說明：您要擷取乘客的全名、標記編號及遞送明細。第一個篩選條件是登機點 / 運輸是 JFK。滿足此條件後，第二個篩選條件即為 MAD 或 VIE。您可以使用 OR 條件來篩選目標值。
輸出：
{"fullName":"Dierdre Amador","tagNum":"17657806240229","routing":"JFK/MAD","fltRouteDest":"MAD"}
{"fullName":"Rosalia Triplett","tagNum":"17657806215913","routing":"JFK/IST/VIE","fltRouteDest":["IST","VIE"]}
{"fullName":"Kendal Biddle","tagNum":"17657806296887","routing":"JFK/IST/VIE","fltRouteDest":["IST","VIE"]}Case 表示式
搜尋的 CASE 表示式與傳統程式設計語言的 if-then-else 敘述句類似。它包含許多 WHEN-THEN 組，後面接著結尾的選用 ELSE 子句。每個 WHEN 運算式都是條件，也就是說，它必須傳回 BOOLEAN。THEN 表示式以及 ELSE 表示式可能會傳回任何項目順序。CASE 表示式的評估方式是先從上到下評估 WHEN 表示式，直到第一個傳回 true 為止。如果它是傳回 true 的第 i-th WHEN 表示式，則會評估第 i-th THEN 表示式，其結果是整個 CASE 表示式的結果。如果沒有 WHEN 表示式傳回 true，則如果有 ELSE，則會評估其表示式，而其結果是整個 CASE 表示式的結果；否則，CASE 表示式的結果是空的序列。
範例：
SELECT
fullName,
CASE
WHEN NOT exists bag.bagInfo.flightLegs[0]
THEN "you have no bag info"
WHEN NOT exists bag.bagInfo.flightLegs[1]
THEN "you have one hop"
WHEN NOT exists bag.bagInfo.flightLegs[2]
THEN "you have two hops."
ELSE "you have three hops."
END AS NUMBER_HOPS
FROM BaggageInfo bag WHERE ticketNo=1762340683564說明：您要使用 CASE 陳述式判斷乘客 bagInfo 有多少傳輸。如果 flightLegs 陣列沒有元素，則乘客沒有行李箱資料。當 flightLegs 陣列只有一個元素時，則只有一個傳輸點。同樣地，如果 flightLegs 陣列有兩個元素，則會有兩個躍點。否則，有三個運輸點。在這裡，您假設一個行李最多可以有三個運輸點 / 躍點。
輸出：
{"fullName":"Mary Watson","NUMBER_HOPS":"you have two hops."}範例 2：撰寫查詢，以在現有值不是字串時，提醒系統更新乘客的
tagNum。SELECT bag.bagInfo[].tagNum,
CASE
WHEN bag.bagInfo[0].tagNum is of type (NUMBER)
THEN "Tagnumber is not a STRING. Update the data"
ELSE "Tagnumber has correct datatype"
END AS tag_NUM_TYPE
FROM BaggageInfo bag 說明：bagInfo 綱要中乘客的 tagNum 是 STRING 資料類型。但應用程式可能會誤以 NUMBER 值作為 tagNum 的值。查詢會使用 "is of type" 運算子來擷取此值，如果現有值不是字串，則提示系統更新 tagNum。
輸出 (僅顯示少數資料列以表示繁殖)。
{"tagNum":"17657806240001","tag_NUM_TYPE":"Tagnumber has correct datatype"}
{"tagNum":"17657806224224","tag_NUM_TYPE":"Tagnumber has correct datatype"}
{"tagNum":17657806243578,"tag_NUM_TYPE":"Tagnumber is not a STRING. Update the data"}
{"tagNum":"1765780623244","tag_NUM_TYPE":"Tagnumber has correct datatype"}Cast Expression
如果可能的話，轉換表示式會從其輸入序列的項目建立指定之目標類型的新項目。例如，您可以使用 CAST 表示式將 STRING 轉換成 TIMESTAMP (0)。
在 CAST 表示式中遵循的規則：
- 如果輸入項目的類型等於目標項目類型，則轉換為 no-op：傳回輸入項目本身。
- 如果目標類型是 JSON 以外的萬用字元類型，且輸入項目的類型是萬用字元類型的子類型，則轉換是 no-op。
- 如果目標類型是 JSON，當輸入項目是非 json 原子類型時，就會發生錯誤。
- 如果目標類型是陣列類型，如果輸入項目不是陣列，就會發生錯誤。
- 如果目標類型是字串，則輸入項目可以是任何類型。這表示每個項目都可以轉換成字串。對於時戳，其字串值為 UTC，格式為
uuuu-MM-dd['T'HH:mm:ss]。 - 如果目標類型不是字串的單元類型，則輸入項目也必須是單元類型。
-
- 整數與長整數都可以轉換成時戳。輸入值會解譯為自 1970 年 1 月 1 日 00:00:00 GMT 之後的毫秒數。
- 字串項目可以轉換成所有其他的單元類型。轉換是否成功取決於實際的字串值是否可以剖析為屬於目標類型網域的值。
- 時戳項目可轉換成所有時戳類型。如果目標類型之輸入項目的精確度較小，所產生的時間戳記即為最接近目標精確度之輸入時戳的時間戳記。
-
- 若要將 STRING 轉換成 TIMESTAMP，如果輸入的值為 ISO-8601 格式的 STRING 值，則由 SQL 程式實際執行自動轉換成 TIMESTAMP 資料類型。
附註：
ISO8601 描述代表日期、時間和持續時間的國際接受方式。Syntax: Date with time: YYYY-MM-DDThh:mm:ss[.s[s[s[s[s[s]]]]][Z|(+|-)hh:mm]
其中- YYYY 指定年份，以四位小數表示
- MM 將月份指定為兩位小數，00 到 12
- DD 指定日為小數，00 到 31
- hh 會將小時指定為兩位小數，從 00 到 23
- mm 以 00 到 59 的小數位數指定分鐘數
- ss[.s[s[s[s[s]]]] 指定秒數，作為 00 到 59 的兩個小數位數 (選擇性)，後面接著一個小數點和 1 到 6 個小數位數 (代表第二個的小數部分)。
- Z 指定 UTC 時間 (時區 0)。(它也可以由 +00:00 指定，但不能由 -00:00 指定。)
- (+|-) hh:mm 指定時區與 UTC 的差異。(需要 + 或 - 其中之一。)
範例 1：以 TIMESTAMP (3) 格式提取預訂代碼為 DN3I4Q 之乘客的行李抵達日期。
SELECT CAST (bag.bagInfo.bagArrivalDate AS Timestamp(3))
AS BAG_ARRIVING_DATE
FROM BaggageInfo bag WHERE bag.confNo=DN3I4Q說明：bagArrivalDate 為 STRING。使用 CAST 時，您要將此欄位轉換成 TIMESTAMP 格式。
輸出：
{"BAG_ARRIVING_DATE":"2019-02-15T21:21:00.000Z"}範例 2：擷取 2019 年之後出貨之所有客戶行李的完整名稱與標記編號。
SELECT fullName, bag.ticketNo,
bag.bagInfo[].bagArrivalDate
FROM BaggageInfo bag WHERE
exists bag.bagInfo[$element.bagArrivalDate >="2019-01-01T00:00:00"]說明：您要過濾並顯示 2019 年之後出貨的行李明細。flightLegs 陣列中每個元素的行李到達日期會與指定的時間戳記 (2019-01-01T00:00:00) 進行比較。此處的轉換是隱含的，因為 bagArrivalDate 是 STRING，而且會直接與靜態時戳值進行比較。當隱含轉換可以完成時，不需要明確的 CAST 函數。不過，您的資料格式應為 YYYY-MM-DDTHH:MI:SS。接著，您可以使用 EXISTS 條件來檢查此時戳條件是否有 bagInfo。
輸出：
{"fullName":"Kendal Biddle","ticketNo":1762377974281,"bagArrivalDate":"2019-03-05T12:00:00Z"}
{"fullName":"Lucinda Beckman","ticketNo":1762320569757,"bagArrivalDate":"2019-03-12T15:05:00Z"}
{"fullName":"Adelaide Willard","ticketNo":1762392135540,"bagArrivalDate":"2019-02-15T21:21:00Z"}
{"fullName":"Raymond Griffin","ticketNo":1762399766476,"bagArrivalDate":"2019-02-03T08:09:00Z"}
{"fullName":"Elane Lemons","ticketNo":1762324912391,"bagArrivalDate":"2019-03-15T10:13:00Z"}
{"fullName":"Zina Christenson","ticketNo":1762390789239,"bagArrivalDate":"2019-02-04T10:08:00Z"}
{"fullName":"Zulema Martindale","ticketNo":1762340579411,"bagArrivalDate":"2019-02-25T20:15:00Z"}
{"fullName":"Dierdre Amador","ticketNo":1762376407826,"bagArrivalDate":"2019-03-07T13:51:00Z"}
{"fullName":"Henry Jenkins","ticketNo":176234463813,"bagArrivalDate":"2019-03-02T13:18:00Z"}
{"fullName":"Rosalia Triplett","ticketNo":1762311547917,"bagArrivalDate":"2019-02-12T07:04:00Z"}
{"fullName":"Lorenzo Phil","ticketNo":1762320369957,"bagArrivalDate":["2019-03-12T15:05:00Z","2019-03-12T16:25:00Z"]}
{"fullName":"Gerard Greene","ticketNo":1762341772625,"bagArrivalDate":"2019-03-07T16:01:00Z"}
{"fullName":"Adam Phillips","ticketNo":1762344493810,"bagArrivalDate":"2019-02-01T16:13:00Z"}
{"fullName":"Doris Martin","ticketNo":1762355527825,"bagArrivalDate":"2019-03-22T10:17:00Z"}
{"fullName":"Joanne Diaz","ticketNo":1762383911861,"bagArrivalDate":"2019-02-16T16:13:00Z"}
{"fullName":"Teena Colley","ticketNo":1762357254392,"bagArrivalDate":"2019-02-13T11:15:00Z"}
{"fullName":"Michelle Payne","ticketNo":1762330498104,"bagArrivalDate":"2019-02-02T23:59:00Z"}
{"fullName":"Mary Watson","ticketNo":1762340683564,"bagArrivalDate":"2019-03-14T06:22:00Z"}
{"fullName":"Omar Harvey","ticketNo":1762348904343,"bagArrivalDate":"2019-03-02T16:09:00Z"}
{"fullName":"Fallon Clements","ticketNo":1762350390409,"bagArrivalDate":"2019-02-21T14:08:00Z"}
{"fullName":"Lisbeth Wampler","ticketNo":1762355854464,"bagArrivalDate":"2019-02-10T10:01:00Z"}順序轉換表示式
序列轉換表示式會將序列轉換成另一個序列。其語法上看起來像是名稱為 seq_transform 的函數。第一個引數是產生要轉換順序 (輸入順序) 的表示式，第二個引數是針對輸入順序的每個項目計算的 "mapper" 表示式。seq_transform 表示式的結果是對應程式表示式之每個評估所產生的序列串連。對應程式表示式可透過 $ 變數存取目前的輸入項目。
範例：針對每個
ticketNo，擷取平面陣列，其中包含對該 ticketNo 行李執行的所有動作。SELECT seq_transform(l.bagInfo[],
seq_transform(
$sq1.flightLegs[],
seq_transform(
$sq2.actions[],
{
"at" : $sq3.actionAt,
"action" : $sq3.actionCode,
"flightNo" : $sq2.flightNo,
"tagNum" : $sq1.tagNum
}
)
)
) AS actions
FROM baggageInfo l WHERE ticketNo=1762340683564說明：您可以使用順序轉換表示式來轉換儲存在表格資料列中的 JSON 文件。在此情況下，您經常使用巢狀的多個序列轉換表示式。在這裡，內部序列轉換的對應程式表示式可能需要存取外部序列轉換的目前項目。若要允許此情況，每個序列轉換表示式 'S' 都會宣告名稱為 $sqN 的變數，其中 N 是外部序列轉換表示式內表示式 S 的巢狀層次。$sqN 基本上是 $ 的同義字，亦即，它連結至輸入表示式 S 傳回的項目。不過，$sqN 可由表示式 S 內嵌的其他順序轉換表示式存取。
輸出：
{
"actions":[
{"action":"ONLOAD to HKG","at":"YYZ","flightNo":"BM267","tagNum":"17657806299833"},
{"action":"BagTag Scan at YYZ","at":"YYZ","flightNo":"BM267","tagNum":"17657806299833"},
{"action":"Checkin at YYZ","at":"YYZ","flightNo":"BM267","tagNum":"17657806299833"},
{"action":"Offload to Carousel at BLR","at":"BLR","flightNo":"BM115","tagNum":"17657806299833"},
{"action":"ONLOAD to BLR","at":"HKG","flightNo":"BM115","tagNum":"17657806299833"},
{"action":"OFFLOAD from HKG","at":"HKG","flightNo":"BM115","tagNum":"17657806299833"}
]
}使用 QueryRequest API 的 SQL 表示式範例
您可以使用 QueryRequest API，並使用 SQL 表示式篩選來自 NoSQL 表格的資料。
若要執行查詢，請使用 NoSQLHandle.query() API。
Download the full code SQLExpressions.java from the examples here.
//Fetch rows from the table
private static void fetchRows(NoSQLHandle handle,String sqlstmt) throws Exception {
try (
QueryRequest queryRequest = new QueryRequest().setStatement(sqlstmt);
QueryIterableResult results = handle.queryIterable(queryRequest)){
for (MapValue res : results) {
System.out.println("\t" + res);
}
}
} String paran_expr="SELECT fullName, bag.bagInfo.tagNum, bag.bagInfo.routing, "+
"bag.bagInfo[].flightLegs[].fltRouteDest FROM BaggageInfo bag WHERE "+
"bag.bagInfo.flightLegs[].fltRouteSrc=any \"SFO\" AND "+
"(bag.bagInfo[].flightLegs[].fltRouteDest=any \"ATH\" OR "+
"bag.bagInfo[].flightLegs[].fltRouteDest=any \"JTR\" )";
System.out.println("Using Paranthesized expression ");
fetchRows(handle,paran_expr);
String case_expr="SELECT fullName,"+
"CASE WHEN NOT exists bag.bagInfo.flightLegs[0] "+
"THEN \"you have no bag info\" "+
"WHEN NOT exists bag.bagInfo.flightLegs[1] "+
"THEN \"you have one hop\" "+
"WHEN NOT exists bag.bagInfo.flightLegs[2] "+
"THEN \"you have two hops.\" "+
"ELSE \"you have three hops.\" "+
"END AS NUMBER_HOPS "+
"FROM BaggageInfo bag WHERE ticketNo=1762341772625";
System.out.println("Using Case Expression ");
fetchRows(handle,case_expr);
String seq_trn_expr="SELECT seq_transform(l.bagInfo[],"+
"seq_transform("+
"$sq1.flightLegs[],"+
"seq_transform("+
"$sq2.actions[],"+
"{"+
"\"at\" : $sq3.actionAt,"+
"\"action\" : $sq3.actionCode,"+
"\"flightNo\" : $sq2.flightNo,"+
"\"tagNum\" : $sq1.tagNum"+
"}"+
")"+
")"+
") AS actions FROM baggageInfo l WHERE ticketNo=1762376407826";
System.out.println("Using Sequence Transform Expressions ");
fetchRows(handle,seq_trn_expr); 若要執行查詢，請使用 borneo.NoSQLHandle.query() 方法。
Download the full code SQLExpressions.py from the examples here.
# Fetch data from the table
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)) paran_expr = '''SELECT fullName, bag.bagInfo.tagNum, bag.bagInfo.routing,
bag.bagInfo[].flightLegs[].fltRouteDest FROM BaggageInfo bag
WHERE bag.bagInfo.flightLegs[].fltRouteSrc=any "SFO" AND
(bag.bagInfo[].flightLegs[].fltRouteDest=any "ATH" OR
bag.bagInfo[].flightLegs[].fltRouteDest=any "JTR" )'''
print('Using Paranthesized expression:')
fetch_data(handle,paran_expr)
case_expr = '''SELECT fullName,
CASE
WHEN NOT exists bag.bagInfo.flightLegs[0]
THEN "you have no bag info"
WHEN NOT exists bag.bagInfo.flightLegs[1]
THEN "you have one hop"
WHEN NOT exists bag.bagInfo.flightLegs[2]
THEN "you have two hops."
ELSE "you have three hops."
END AS NUMBER_HOPS
FROM BaggageInfo bag WHERE ticketNo=1762341772625'''
print('Using Case Expression:')
fetch_data(handle,case_expr)
seq_trn_expr = '''SELECT seq_transform(l.bagInfo[],
seq_transform(
$sq1.flightLegs[],
seq_transform(
$sq2.actions[],
{
"at" : $sq3.actionAt,
"action" : $sq3.actionCode,
"flightNo" : $sq2.flightNo,
"tagNum" : $sq1.tagNum
}
)
)
) AS actions FROM baggageInfo l WHERE ticketNo=1762376407826'''
print('Using Sequence Transform Expressions:')
fetch_data(handle,seq_trn_expr) 若要執行查詢，請使用 Client.Query 函數。
Download the full code SQLExpressions.go from the examples here.
//fetch data from the table
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()))
}
} paran_expr := `SELECT fullName, bag.bagInfo.tagNum, bag.bagInfo.routing,
bag.bagInfo[].flightLegs[].fltRouteDest FROM BaggageInfo bag
WHERE bag.bagInfo.flightLegs[].fltRouteSrc=any "SFO" AND
(bag.bagInfo[].flightLegs[].fltRouteDest=any "ATH" OR
bag.bagInfo[].flightLegs[].fltRouteDest=any "JTR" )`
fmt.Printf("Using Paranthesized expression:\n")
fetchData(client, err,tableName,paran_expr)
case_expr := `SELECT fullName,
CASE
WHEN NOT exists bag.bagInfo.flightLegs[0]
THEN "you have no bag info"
WHEN NOT exists bag.bagInfo.flightLegs[1]
THEN "you have one hop"
WHEN NOT exists bag.bagInfo.flightLegs[2]
THEN "you have two hops."
ELSE "you have three hops."
END AS NUMBER_HOPS
FROM BaggageInfo bag WHERE ticketNo=1762341772625`
fmt.Printf("Using Case Expression:\n")
fetchData(client, err,tableName,case_expr)
seq_trn_expr := `SELECT seq_transform(l.bagInfo[],
seq_transform(
$sq1.flightLegs[],
seq_transform(
$sq2.actions[],
{
"at" : $sq3.actionAt,
"action" : $sq3.actionCode,
"flightNo" : $sq2.flightNo,
"tagNum" : $sq1.tagNum
}
)
)
) AS actions FROM baggageInfo l WHERE ticketNo=1762376407826`
fmt.Printf("Using Sequence Transform Expressions:\n")
fetchData(client, err,tableName,seq_trn_expr)若要執行查詢，請使用 query 方法。
JavaScript: Download the full code SQLExpressions.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);
}
}TypeScript: Download the full code SQLExpressions.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: any) {
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 paran_expr = `SELECT fullName, bag.bagInfo.tagNum, bag.bagInfo.routing,
bag.bagInfo[].flightLegs[].fltRouteDest FROM BaggageInfo bag
WHERE bag.bagInfo.flightLegs[].fltRouteSrc=any "SFO" AND
(bag.bagInfo[].flightLegs[].fltRouteDest=any "ATH" OR
bag.bagInfo[].flightLegs[].fltRouteDest=any "JTR" )`
console.log("Using Paranthesized expression");
await fetchData(handle,paran_expr);
const case_expr = `SELECT fullName,
CASE
WHEN NOT exists bag.bagInfo.flightLegs[0]
THEN "you have no bag info"
WHEN NOT exists bag.bagInfo.flightLegs[1]
THEN "you have one hop"
WHEN NOT exists bag.bagInfo.flightLegs[2]
THEN "you have two hops."
ELSE "you have three hops."
END AS NUMBER_HOPS
FROM BaggageInfo bag WHERE ticketNo=1762341772625`
console.log("Using Case Expression");
await fetchData(handle,case_expr);
const seq_trn_expr = `SELECT seq_transform(l.bagInfo[],
seq_transform(
$sq1.flightLegs[],
seq_transform(
$sq2.actions[],
{
"at" : $sq3.actionAt,
"action" : $sq3.actionCode,
"flightNo" : $sq2.flightNo,
"tagNum" : $sq1.tagNum
}
)
)
) AS actions FROM baggageInfo l WHERE ticketNo=1762376407826`
console.log("Using Sequence Transform Expressions");
await fetchData(handle,seq_trn_expr); 若要執行查詢，您可以呼叫 QueryAsync 方法或呼叫 GetQueryAsyncEnumerable 方法，然後重複產生的非同步可列舉。
Download the full code SQLExpressions.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.Rows)
{
Console.WriteLine();
Console.WriteLine(row.ToJsonString());
}
}
} private const string paran_expr =@"SELECT fullName, bag.bagInfo.tagNum, bag.bagInfo.routing,
bag.bagInfo[].flightLegs[].fltRouteDest FROM BaggageInfo bag
WHERE bag.bagInfo.flightLegs[].fltRouteSrc=any ""SFO"" AND
(bag.bagInfo[].flightLegs[].fltRouteDest=any ""ATH"" OR
bag.bagInfo[].flightLegs[].fltRouteDest=any ""JTR"" )";
Console.WriteLine("\nUsing Paranthesized expression:!");
await fetchData(client,paran_expr);
private const string case_expr =@"SELECT fullName,
CASE
WHEN NOT exists bag.bagInfo.flightLegs[0]
THEN ""you have no bag info""
WHEN NOT exists bag.bagInfo.flightLegs[1]
THEN ""you have one hop""
WHEN NOT exists bag.bagInfo.flightLegs[2]
THEN ""you have two hops.""
ELSE ""you have three hops.""
END AS NUMBER_HOPS
FROM BaggageInfo bag WHERE ticketNo=1762341772625";
Console.WriteLine("\nUsing Case Expression!");
await fetchData(client,case_expr);
private const string seq_trn_expr =@"SELECT seq_transform(l.bagInfo[],
seq_transform(
$sq1.flightLegs[],
seq_transform(
$sq2.actions[],
{
""at"" : $sq3.actionAt,
""action"" : $sq3.actionCode,
""flightNo"" : $sq2.flightNo,
""tagNum"" : $sq1.tagNum
}
)
)
) AS actions FROM baggageInfo l WHERE ticketNo=1762376407826" ;
Console.WriteLine("\nUsing Sequence Transform Expressions!");
await fetchData(client,seq_trn_expr);