AWS Data Pipeline 不再向新客户提供。的现有客户 AWS Data Pipeline 可以继续照常使用该服务。了解详情

本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

RedshiftCopyActivity

将数据从 DynamoDB 或 Amazon S3 复制到 Amazon Redshift。您可以将数据加载到新表中，或轻松地将数据并入现有表中。

下面概括了使用 RedshiftCopyActivity 的使用案例：

此外，借助 RedshiftCopyActivity，您可以使用 S3DataNode，因为它支持清单文件。有关更多信息，请参阅 S3 DataNode。

示例

以下是该对象类型的示例。

为了确保格式转换，本示例在 commandOptions 中使用 EMPTYASNULL 和 IGNOREBLANKLINES 特殊转换参数。有关信息，请参阅 Amazon Redshift 数据库开发人员指南中的数据转换参数。

{
  "id" : "S3ToRedshiftCopyActivity",
  "type" : "RedshiftCopyActivity",
  "input" : { "ref": "MyS3DataNode" },
  "output" : { "ref": "MyRedshiftDataNode" },
  "insertMode" : "KEEP_EXISTING",
  "schedule" : { "ref": "Hour" },
  "runsOn" : { "ref": "MyEc2Resource" },
  "commandOptions": ["EMPTYASNULL", "IGNOREBLANKLINES"]
}

以下示例管道定义说明了一个使用 APPEND 插入模式的活动：

{
  "objects": [
    {
      "id": "CSVId1",
      "name": "DefaultCSV1",
      "type": "CSV"
    },
    {
      "id": "RedshiftDatabaseId1",
      "databaseName": "dbname",
      "username": "user",
      "name": "DefaultRedshiftDatabase1",
      "*password": "password",
      "type": "RedshiftDatabase",
      "clusterId": "redshiftclusterId"
    },
    {
      "id": "Default",
      "scheduleType": "timeseries",
      "failureAndRerunMode": "CASCADE",
      "name": "Default",
      "role": "DataPipelineDefaultRole",
      "resourceRole": "DataPipelineDefaultResourceRole"
    },
    {
      "id": "RedshiftDataNodeId1",
      "schedule": {
        "ref": "ScheduleId1"
      },
      "tableName": "orders",
      "name": "DefaultRedshiftDataNode1",
      "createTableSql": "create table StructuredLogs (requestBeginTime CHAR(30) PRIMARY KEY DISTKEY SORTKEY, requestEndTime CHAR(30), hostname CHAR(100), requestDate varchar(20));",
      "type": "RedshiftDataNode",
      "database": {
        "ref": "RedshiftDatabaseId1"
      }
    },
    {
      "id": "Ec2ResourceId1",
      "schedule": {
        "ref": "ScheduleId1"
      },
      "securityGroups": "MySecurityGroup",
      "name": "DefaultEc2Resource1",
      "role": "DataPipelineDefaultRole",
      "logUri": "s3://myLogs",
      "resourceRole": "DataPipelineDefaultResourceRole",
      "type": "Ec2Resource"
    },
    {
      "id": "ScheduleId1",
      "startDateTime": "yyyy-mm-ddT00:00:00",
      "name": "DefaultSchedule1",
      "type": "Schedule",
      "period": "period",
      "endDateTime": "yyyy-mm-ddT00:00:00"
    },
    {
      "id": "S3DataNodeId1",
      "schedule": {
        "ref": "ScheduleId1"
      },
      "filePath": "s3://datapipeline-us-east-1/samples/hive-ads-samples.csv",
      "name": "DefaultS3DataNode1",
      "dataFormat": {
        "ref": "CSVId1"
      },
      "type": "S3DataNode"
    },
    {
      "id": "RedshiftCopyActivityId1",
      "input": {
        "ref": "S3DataNodeId1"
      },
      "schedule": {
        "ref": "ScheduleId1"
      },
      "insertMode": "APPEND",
      "name": "DefaultRedshiftCopyActivity1",
      "runsOn": {
        "ref": "Ec2ResourceId1"
      },
      "type": "RedshiftCopyActivity",
      "output": {
        "ref": "RedshiftDataNodeId1"
      }
    }
  ]
}

APPEND 操作向表中添加项，无论主键或排序键如何。例如，如果您有以下表，则可追加具有相同的 ID 和用户值的记录。

ID(PK)     USER
1          aaa
2          bbb

您可以追加具有相同的 ID 和用户值的记录：

ID(PK)     USER
1          aaa
2          bbb
1          aaa

有关教程，请参阅 使用将数据复制到亚马逊 Redshift AWS Data Pipeline。

语法