{
	"": [
		"--------------------------------------------------------------------------------------------",
		"Copyright (c) Microsoft Corporation. All rights reserved.",
		"Licensed under the Source EULA. See License.txt in the project root for license information.",
		"--------------------------------------------------------------------------------------------",
		"Do not edit this file. It is machine generated."
	],
	"msgMissingNodeContext": "调用了节点命令但未传递任何节点",
	"mssql.manageAccessTitle": "管理访问权限",
	"mssql.locationTitle": "位置:",
	"mssql.permissionsTitle": "权限",
	"mssql.ownerPostfix": " - 所有者",
	"mssql.owningGroupPostfix": " - 责任组",
	"mssql.everyone": "其他所有人",
	"mssql.userLabel": "用户",
	"mssql.groupLabel": "组",
	"mssql.accessHeader": "访问",
	"mssql.defaultHeader": "默认",
	"mssql.delete": "删除",
	"mssql.stickyHeader": "粘性",
	"mssql.inheritDefaultsLabel": "继承默认值",
	"mssql.readHeader": "读取",
	"mssql.writeHeader": "写入",
	"mssql.executeHeader": "执行",
	"mssql.addUserOrGroup": "添加用户或组",
	"mssql.enterNamePlaceholder": "输入名称",
	"mssql.addLabel": "添加",
	"mssql.namedUsersAndGroups": "命名用户和组",
	"mssql.apply": "应用",
	"mssql.applyRecursively": "递归应用",
	"mssql.errorApplyingAclChanges": "应用更改时发生意外错误: {0}",
	"sparkJobSubmission_LocalFileDestinationHint": "本地文件将上传到 HDFS。",
	"sparkJobSubmission_SubmissionEndMessage": "…………………….. 提交 Spark 作业结束 ……………………….",
	"sparkJobSubmission_PrepareUploadingFile": "正在将文件从本地 {0} 上传到 HDFS 文件夹: {1}",
	"sparkJobSubmission_UploadingFileSucceeded": "已将文件成功上传到群集!",
	"sparkJobSubmission_UploadingFileFailed": "将文件上传到群集失败。{0}",
	"sparkJobSubmission_PrepareSubmitJob": "正在提交作业 {0}…",
	"sparkJobSubmission_SubmitJobFinished": "已提交 Spark 作业。",
	"sparkJobSubmission_SubmitJobFailed": "Spark 作业提交失败。{0}",
	"sparkJobSubmission_YarnUIMessage": "YarnUI URL: {0}",
	"sparkJobSubmission_SparkHistoryLinkMessage": "Spark 历史记录 URL: {0}",
	"sparkJobSubmission_GetApplicationIdFailed": "获取应用程序 ID 失败。{0}",
	"sparkJobSubmission_LocalFileNotExisted": "本地文件 {0} 不存在。",
	"sparkJobSubmission_NoSqlBigDataClusterFound": "未找到 SQL Server 大数据群集。"
}