建立應用程式以執行管理命令
本文內容
適用於:✅Microsoft Fabric ✅Azure 數據總管
在本文中,您將瞭解如何:
先決條件
設定開發環境 以使用 Kusto 客戶端程式庫。
執行管理命令並處理結果
在慣用的 IDE 或文字編輯器中,使用適合您慣用語言的慣例,建立名為 的管理命令 項目或檔案。 然後新增下列程式代碼:
建立連線叢集的用戶端應用程式。 將 <your_cluster_uri>
佔位元取代為您的叢集名稱。
注意
針對管理命令,您將使用 CreateCslAdminProvider
用戶端 Factory 方法。
using Kusto.Data;
using Kusto.Data.Net.Client;
namespace ManagementCommands {
class ManagementCommands {
static void Main(string[] args) {
var clusterUri = "<your_cluster_uri>";
var kcsb = new KustoConnectionStringBuilder(clusterUri)
.WithAadUserPromptAuthentication();
using (var kustoClient = KustoClientFactory.CreateCslAdminProvider(kcsb)) {
}
}
}
}
from azure.kusto.data import KustoClient, KustoConnectionStringBuilder
def main():
cluster_uri = "<your_cluster_uri>"
kcsb = KustoConnectionStringBuilder.with_interactive_login(cluster_uri)
with KustoClient(kcsb) as kusto_client:
if __name__ == "__main__":
main()
import { Client as KustoClient, KustoConnectionStringBuilder } from "azure-kusto-data/";
import { InteractiveBrowserCredentialInBrowserOptions } from "@azure/identity";
async function main() {
const clusterUri = "<your_cluster_uri>";
const authOptions = {
clientId: "00001111-aaaa-2222-bbbb-3333cccc4444",
redirectUri: "http://localhost:5173",
} as InteractiveBrowserCredentialInBrowserOptions;
const kcsb = KustoConnectionStringBuilder.withUserPrompt(clusterUri, authOptions);
const kustoClient = new KustoClient(kcsb);
}
main();
注意
針對 Node.js 應用程式,請使用 InteractiveBrowserCredentialNodeOptions
,而不是使用 InteractiveBrowserCredentialInBrowserOptions
。
import com.microsoft.azure.kusto.data.Client;
import com.microsoft.azure.kusto.data.ClientFactory;
import com.microsoft.azure.kusto.data.KustoOperationResult;
import com.microsoft.azure.kusto.data.KustoResultSetTable;
import com.microsoft.azure.kusto.data.KustoResultColumn;
import com.microsoft.azure.kusto.data.auth.ConnectionStringBuilder;
public class ManagementCommands {
public static void main(String[] args) throws Exception {
try {
String clusterUri = "<your_cluster_uri>";
ConnectionStringBuilder kcsb = ConnectionStringBuilder.createWithUserPrompt(clusterUri);
try (Client kustoClient = ClientFactory.createClient(kcsb)) {
}
}
}
}
定義會列印所執行命令及其結果數據表的函式。 此函式會將結果數據表中的數據行名稱解壓縮,並在新行上列印每個名稱/值組。
static void PrintResultsAsValueList(string command, IDataReader response) {
while (response.Read()) {
Console.WriteLine("\n{0}\n", new String('-', 20));
Console.WriteLine("Command: {0}", command);
Console.WriteLine("Result:");
for (int i = 0; i < response.FieldCount; i++) {
Console.WriteLine("\t{0} - {1}", response.GetName(i), response.IsDBNull(i) ? "None" : response.GetString(i));
}
}
}
def print_result_as_value_list(command, response):
# create a list of columns
cols = (col.column_name for col in response.primary_results[0].columns)
print("\n" + "-" * 20 + "\n")
print("Command: " + command)
# print the values for each row
for row in response.primary_results[0]:
print("Result:")
for col in cols:
print("\t", col, "-", row[col])
function printResultsAsValueList(command: string, response: KustoResponseDataSet) {
// create a list of columns
const cols = response.primaryResults[0].columns;
console.log("\n" + "-".repeat(20) + "\n")
console.log("Command: " + command)
// print the values for each row
for (const row of response.primaryResults[0].rows()) {
console.log("Result:")
for (col of cols)
console.log("\t", col.name, "-", row.getValueAt(col.ordinal) ? row.getValueAt(col.ordinal).toString() : "None")
}
}
public static void printResultsAsValueList(String command, KustoResultSetTable results) {
while (results.next()) {
System.out.println("\n" + "-".repeat(20) + "\n");
System.out.println("Command: " + command);
System.out.println("Result:");
KustoResultColumn[] columns = results.getColumns();
for (int i = 0; i < columns.length; i++) {
System.out.println("\t" + columns[i].getColumnName() + " - " + (results.getObject(i) == null ? "None" : results.getString(i)));
}
}
}
定義要執行的命令。 命令 會建立名為 MyStormEvents 的數據表 ,並將數據表架構定義為數據行名稱和類型清單。 請將 <your_database>
佔位符替換為您的資料庫名稱。
string database = "<your_database>";
string table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
string command = @$".create table {table}
(StartTime:datetime,
EndTime:datetime,
State:string,
DamageProperty:int,
DamageCrops:int,
Source:string,
StormSummary:dynamic)";
database = "<your_database>"
table = "MyStormEvents"
# Create a table named MyStormEvents
# The brackets contain a list of column Name:Type pairs that defines the table schema
command = ".create table " + table + " " \
"(StartTime:datetime," \
" EndTime:datetime," \
" State:string," \
" DamageProperty:int," \
" DamageCrops:int," \
" Source:string," \
" StormSummary:dynamic)"
const database = "<your_database>";
const table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
const command = `.create table ${table}
(StartTime:datetime,
EndTime:datetime,
State:string,
DamageProperty:int,
Source:string,
StormSummary:dynamic)`;
String database = "<your_database>";
String table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
String command = ".create table " + table + " " +
"(StartTime:datetime," +
" EndTime:datetime," +
" State:string," +
" DamageProperty:int," +
" DamageCrops:int," +
" Source:string," +
" StormSummary:dynamic)";
執行 命令,並使用先前定義的函式列印結果。
注意
您將使用 ExecuteControlCommand
方法來執行 命令。
using (var response = kustoClient.ExecuteControlCommand(database, command, null)) {
PrintResultsAsValueList(command, response);
}
注意
您將使用 execute_mgmt
方法來執行 命令。
response = kusto_client.execute_mgmt(database, command)
print_result_as_value_list(command, response)
注意
您將使用 executeMgmt
方法來執行 命令。
const response = await kustoClient.executeMgmt(database, command);
printResultsAsValueList(command, response)
KustoOperationResult response = kusto_client.execute(database, command);
printResultsAsValueList(command, response.getPrimaryResults());
完整的程式代碼看起來應該像這樣:
using Kusto.Data;
using Kusto.Data.Net.Client;
namespace ManagementCommands {
class ManagementCommands {
static void Main(string[] args) {
string clusterUri = "https://<your_cluster_uri>";
var kcsb = new KustoConnectionStringBuilder(clusterUri)
.WithAadUserPromptAuthentication();
using (var kustoClient = KustoClientFactory.CreateCslAdminProvider(kcsb)) {
string database = "<your_database>";
string table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
string command = @$".create table {table}
(StartTime:datetime,
EndTime:datetime,
State:string,
DamageProperty:int,
DamageCrops:int,
Source:string,
StormSummary:dynamic)";
using (var response = kustoClient.ExecuteControlCommand(database, command, null)) {
PrintResultsAsValueList(command, response);
}
}
}
static void PrintResultsAsValueList(string command, IDataReader response) {
while (response.Read()) {
Console.WriteLine("\n{0}\n", new String('-', 20));
Console.WriteLine("Command: {0}", command);
Console.WriteLine("Result:");
for (int i = 0; i < response.FieldCount; i++) {
Console.WriteLine("\t{0} - {1}", response.GetName(i), response.IsDBNull(i) ? "None" : response.GetString(i));
}
}
}
}
}
from azure.kusto.data import KustoClient, KustoConnectionStringBuilder
def main():
cluster_uri = "https://<your_cluster_uri>"
kcsb = KustoConnectionStringBuilder.with_interactive_login(cluster_uri)
with KustoClient(kcsb) as kusto_client:
database = "<your_database>"
table = "MyStormEvents"
# Create a table named MyStormEvents
# The brackets contain a list of column Name:Type pairs that defines the table schema
command = ".create table " + table + " " \
"(StartTime:datetime," \
" EndTime:datetime," \
" State:string," \
" DamageProperty:int," \
" DamageCrops:int," \
" Source:string," \
" StormSummary:dynamic)"
response = kusto_client.execute_mgmt(database, command)
print_result_as_value_list(command, response)
def print_result_as_value_list(command, response):
# create a list of columns
cols = (col.column_name for col in response.primary_results[0].columns)
print("\n" + "-" * 20 + "\n")
print("Command: " + command)
# print the values for each row
for row in response.primary_results[0]:
print("Result:")
for col in cols:
print("\t", col, "-", row[col])
if __name__ == "__main__":
main()
import { Client as KustoClient, KustoConnectionStringBuilder, KustoResponseDataSet } from "azure-kusto-data/";
import { InteractiveBrowserCredentialInBrowserOptions } from "@azure/identity";
async function main() {
const clusterUri = "<your_cluster_uri>";
const authOptions = {
clientId: "00001111-aaaa-2222-bbbb-3333cccc4444",
redirectUri: "http://localhost:5173",
} as InteractiveBrowserCredentialInBrowserOptions;
const kcsb = KustoConnectionStringBuilder.withUserPrompt(clusterUri, authOptions);
const kustoClient = new KustoClient(kcsb);
const database = "<your_database>";
const table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
const command = `.create table ${table}
(StartTime:datetime,
EndTime:datetime,
State:string,
DamageProperty:int,
Source:string,
StormSummary:dynamic)`;
const response = await kustoClient.executeMgmt(database, command);
printResultsAsValueList(command, response)
}
function printResultsAsValueList(command: string, response: KustoResponseDataSet) {
// create a list of columns
const cols = response.primaryResults[0].columns;
console.log("\n" + "-".repeat(20) + "\n")
console.log("Command: " + command)
// print the values for each row
for (const row of response.primaryResults[0].rows()) {
console.log("Result:")
for (const col of cols) {
console.log("\t", col.name, "-", row.getValueAt(col.ordinal) ? row.getValueAt(col.ordinal).toString() : "None")
}
}
}
main();
注意
針對 Node.js 應用程式,請使用 InteractiveBrowserCredentialNodeOptions
,而不是使用 InteractiveBrowserCredentialInBrowserOptions
。
import com.microsoft.azure.kusto.data.Client;
import com.microsoft.azure.kusto.data.ClientFactory;
import com.microsoft.azure.kusto.data.KustoOperationResult;
import com.microsoft.azure.kusto.data.KustoResultSetTable;
import com.microsoft.azure.kusto.data.KustoResultColumn;
import com.microsoft.azure.kusto.data.auth.ConnectionStringBuilder;
public class ManagementCommands {
public static void main(String[] args) throws Exception {
try {
String clusterUri = "https://<your_cluster_uri>";
ConnectionStringBuilder kcsb = ConnectionStringBuilder.createWithUserPrompt(clusterUri);
try (Client kustoClient = ClientFactory.createClient(kcsb)) {
String database = "<your_database>";
String table = "MyStormEvents";
// Create a table named MyStormEvents
// The brackets contain a list of column Name:Type pairs that defines the table schema
String command = ".create table " + table + " " +
"(StartTime:datetime," +
" EndTime:datetime," +
" State:string," +
" DamageProperty:int," +
" DamageCrops:int," +
" Source:string," +
" StormSummary:dynamic)";
KustoOperationResult response = kustoClient.execute(database, command);
printResultsAsValueList(command, response.getPrimaryResults());
}
}
}
public static void printResultsAsValueList(String command, KustoResultSetTable results) {
while (results.next()) {
System.out.println("\n" + "-".repeat(20) + "\n");
System.out.println("Command: " + command);
System.out.println("Result:");
KustoResultColumn[] columns = results.getColumns();
for (int i = 0; i < columns.length; i++) {
System.out.println("\t" + columns[i].getColumnName() + " - " + (results.getObject(i) == null ? "None" : results.getString(i)));
}
}
}
}
執行您的應用程式
在命令提示字元中,使用下列命令來執行應用程式:
# Change directory to the folder that contains the management commands project
dotnet run .
python management_commands.py
在 Node.js 環境中:
node management-commands.js
在瀏覽器環境中,使用適當的命令來執行您的應用程式。 例如,在 Vite-React 中:
npm run dev
mvn install exec:java -Dexec.mainClass="<groupId>.ManagementCommands"
您應該會看到類似下列的結果:
--------------------
Command: .create table MyStormEvents
(StartTime:datetime,
EndTime:datetime,
State:string,
DamageProperty:int,
Source:string,
StormSummary:dynamic)
Result:
TableName - MyStormEvents
Schema - {"Name":"MyStormEvents","OrderedColumns":[{"Name":"StartTime","Type":"System.DateTime","CslType":"datetime"},{"Name":"EndTime","Type":"System.DateTime","CslType":"datetime"},{"Name":"State","Type":"System.String","CslType":"string"},{"Name":"DamageProperty","Type":"System.Int32","CslType":"int"},{"Name":"Source","Type":"System.String","CslType":"string"},{"Name":"StormSummary","Type":"System.Object","CslType":"dynamic"}]}
DatabaseName - MyDatabaseName
Folder - None
DocString - None
變更數據表層級匯入批處理原則
您可以修改相關資料表的策略來自訂資料表的匯入批次處理行為。 如需詳細資訊,請參閱 匯入批次處理原則 。
注意
如果您未指定 PolicyObject 的所有參數,則未指定的參數將會設定為 預設值 。 例如,只指定 「MaximumBatchingTimeSpan」 會導致 「MaximumNumberOfItems」 和 「MaximumRawDataSizeMB」 設定為預設值。
例如,您可以使用下列命令,修改應用程式,將 擷取批處理原則 逾時值 MyStormEvents
ingestionBatching
變更為 30 秒:
// Reduce the default batching timeout to 30 seconds
command = @$".alter-merge table {table} policy ingestionbatching '{{ ""MaximumBatchingTimeSpan"":""00:00:30"" }}'";
using (var response = kustoClient.ExecuteControlCommand(database, command, null))
{
PrintResultsAsValueList(command, response);
}
# Reduce the default batching timeout to 30 seconds
command = ".alter-merge table " + table + " policy ingestionbatching '{ \"MaximumBatchingTimeSpan\":\"00:00:30\" }'"
response = kusto_client.execute_mgmt(database, command)
print_result_as_value_list(command, response)
// Reduce the default batching timeout to 30 seconds
command = ".alter-merge table " + table + " policy ingestionbatching '{ \"MaximumBatchingTimeSpan\":\"00:00:30\" }'"
response = await kustoClient.executeMgmt(database, command)
printResultsAsValueList(command, response)
// Reduce the default batching timeout to 30 seconds
command = ".alter-merge table " + table + " policy ingestionbatching '{ \"MaximumBatchingTimeSpan\":\"00:00:30\" }'";
response = kusto_client.execute(database, command);
printResultsAsValueList(command, response.getPrimaryResults());
當您將程式代碼新增至應用程式並加以執行時,應該會看到類似下列的結果:
--------------------
Command: .alter-merge table MyStormEvents policy ingestionbatching '{ "MaximumBatchingTimeSpan":"00:00:30" }'
Result:
PolicyName - IngestionBatchingPolicy
EntityName - [YourDatabase].[MyStormEvents]
Policy - {
"MaximumBatchingTimeSpan": "00:00:30",
"MaximumNumberOfItems": 500,
"MaximumRawDataSizeMB": 1024
}
ChildEntities - None
EntityType - Table
顯示資料庫層級保留原則
您可以使用管理命令來顯示資料庫的 保留原則 。
例如,您可以使用下列程式代碼,將應用程式修改為 顯示資料庫的保留原則 。 結果被調整為從結果中刪除兩個欄位:
// Show the database retention policy (drop some columns from the result)
command = @$".show database {database} policy retention | project-away ChildEntities, EntityType";
using (var response = kustoClient.ExecuteControlCommand(database, command, null)) {
PrintResultsAsValueList(command, response);
}
# Show the database retention policy (drop some columns from the result)
command = ".show database " + database + " policy retention | project-away ChildEntities, EntityType"
response = kusto_client.execute_mgmt(database, command)
print_result_as_value_list(command, response)
// Show the database retention policy (drop some columns from the result)
command = ".show database " + database + " policy retention | project-away ChildEntities, EntityType"
response = await kustoClient.executeMgmt(database, command)
printResultsAsValueList(command, response)
// Show the database retention policy (drop some columns from the result)
command = ".show database " + database + " policy retention | project-away ChildEntities, EntityType";
response = kusto_client.execute(database, command);
printResultsAsValueList(command, response.getPrimaryResults());
當您將程式代碼新增至應用程式並加以執行時,應該會看到類似下列的結果:
--------------------
Command: .show database YourDatabase policy retention | project-away ChildEntities, EntityType
Result:
PolicyName - RetentionPolicy
EntityName - [YourDatabase]
Policy - {
"SoftDeletePeriod": "365.00:00:00",
"Recoverability": "Enabled"
}
下一步