Account does not exist. 帳戶不存在。

Azure Data Studio needs to contact Azure Key Vault to access a column master key for Always Encrypted, but no linked Azure account is available. Please add a linked Azure account and retry the query. Azure Data Studio 必須連絡 Azure Key Vault 以存取 Always Encrypted 的資料行主要金鑰，但沒有任何已連結的 Azure 帳戶可供使用。請新增已連結的 Azure 帳戶，然後重試一次此查詢。

The configured Azure account for {0} does not have sufficient permissions for Azure Key Vault to access a column master key for Always Encrypted. 為 {0} 所設定的 Azure 帳戶，沒有足夠的權限讓 Azure Key Vault 存取 Always Encrypted 的資料行主要金鑰。

({0} KB) ({0} KB)

Downloaded {0} 已下載 {0}

Downloading {0} 正在下載 {0}

Failed to start {0} 無法啟動 {0}

Installed {0} 已安裝 {0}

Installing {0} 正在安裝 {0}

Installing {0} to {1} 正在將 {0} 安裝到 {1}

Starting {0} 正在啟動 {0}

{0} Started 已啟動 {0}

Notebooks Notebooks

Only .ipynb Notebooks are supported 僅支援 .ipynb Notebooks

Unsupported platform 不支援的平台

$(sync~spin) {0}... $(sync~spin) {0}...

Cancel 取消

Cancel operation? 要取消作業嗎?

Search Server Names 搜尋伺服器名稱

Error notifying of node change: {0} 通知節點變更時發生錯誤: {0}

Root 根

Session for node {0} does not exist 節點 {0} 的工作階段不存在

View Known Issues 檢視已知問題

{0} component exited unexpectedly. Please restart Azure Data Studio. {0} 個元件意外結束。請重新啟動 Azure Data Studio。

% of Cluster data capacity used 使用的叢集資料容量百分比

Application name 應用程式名稱

Authentication type 驗證類型

Azure Active Directory - Universal with MFA support Azure Active Directory - MFA 通用支援

Azure Data Explorer (Kusto) Azure 資料總管 (Kusto)

Cluster 叢集

Connect retry count 連線重試計數

Connect retry interval 連線重試間隔

Connect timeout 連線逾時

Connection Resiliency 恢復連接

Context 內容

Custom name of the connection 連線的自訂名稱

Database 資料庫

Database Name 資料庫名稱

Delay between attempts to restore connection 嘗試還原連線之間的延遲

Failover partner 容錯移轉夥伴

Indicates the password to be used when connecting to the data source 代表要在連線至資料來源時使用的密碼

Indicates the user ID to be used when connecting to the data source 代表要在連線至資料來源時使用的使用者識別碼

Initialization 初始化

KUSTO configuration KUSTO 設定

Kusto cluster name Kusto 叢集名稱

Name 名稱

Name (optional) 名稱 (選用)

New Notebook 新增 Notebook

No Authentication 無驗證

Number of attempts to restore connection 嘗試還原連線的次數

Open Notebook 開啟 Notebook

Password 密碼

Security 安全性

Should BIT columns be displayed as numbers (1 or 0)? If false, BIT columns will be displayed as 'true' or 'false' BIT 資料行是否顯示為數字 (1 或 0)? 若為 False，BIT 資料行將會顯示為 'True' 或 'False'

Should column definitions be aligned? 行定義是否一致?

Should data types be formatted as UPPERCASE, lowercase, or none (not formatted) 是否將資料類型轉換為大寫，小寫或無 (不轉換)

Should keywords be formatted as UPPERCASE, lowercase, or none (not formatted) 是否將關鍵字轉換為大寫，小寫或無 (不轉換)

Size (MB) 大小 (MB)

Source 來源

Specifies the method of authenticating with Kusto Server 指定使用 Kusto Server 驗證的方法

Status 狀態

The length of time (in seconds) to wait for a connection to the server before terminating the attempt and generating an error 終止嘗試並產生錯誤前，要等待伺服器連線的時間長度 (秒)

The name of the application 應用程式的名稱

The name of the initial catalog or database in the data source 資料來源中初始目錄或資料庫的名稱。

The name of the workstation connecting to Kusto Server 連線至 Kusto Server 的工作站名稱

The name or network address of the instance of Kusto Server that acts as a failover partner 充當容錯移轉夥伴之 Kusto Server 執行個體的名稱或網路位址

Total Machines in the cluster 叢集中的電腦總計

Type 類型

User Authentication 使用者驗證

User name 使用者名稱

Workstation Id 工作站識別碼

[Optional] Log debug output to the console (View -> Output) and then select appropriate output channel from the dropdown [選用] 將偵錯記錄輸出至主控台 ([檢視] -> [輸出])，並從下拉式清單選取適當的輸出通道

[Optional] Log level for backend services. Azure Data Studio generates a file name every time it starts and if the file already exists the logs entries are appended to that file. For cleanup of old log files see logRetentionMinutes and logFilesRemovalLimit settings. The default tracingLevel does not log much. Changing verbosity could lead to extensive logging and disk space requirements for the logs. Error includes Critical, Warning includes Error, Information includes Warning and Verbose includes Information [選用] 後端服務的記錄層級。每當 Azure Data Studio 啟動，或是檔案已經有附加至該檔案的記錄項目時，Azure Data Studio 都會產生檔案名稱。如需清除舊記錄檔，請查看 logRetentionMinutes 和 logFilesRemovalLimit 設定。預設 tracingLevel 不會記錄太多項目。變更詳細資訊可能會導致大量記錄和記錄的磁碟空間需求。錯誤包含嚴重，警告包含錯誤，資訊包含警告而詳細資訊包含資訊