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。 # 在 Amazon Quick Sight 中 Amazon Glue 与 Athena 一起使用时表格不兼容 Amazon Glue 桌子与 Athena 不兼容 如果你在 Athena 中使用 Amazon Quick Sight 中的 Amazon Glue 表格时遇到错误，那可能是因为你缺少了一些元数据。请按照以下步骤查看您的表格是否没有 Amazon Quick Sight 让 Athena 连接器正常工作所需的`TableType`属性。通常，这些表的元数据不会迁移到 Amazon Glue 数据目录中。有关更多信息，请参阅[《 Amazon Glue 开发人员指南》 Step-by-Step中的升级到 Amazon Glue 数据目录](https://docs.amazonaws.cn/athena/latest/ug/glue-upgrade.html)*。* 如果您此时不想迁移到 Amazon Glue 数据目录，则有两种选择。您可以通过 Amazon Glue 管理控制台重新创建每 Amazon Glue 张表。或者，您可以使用以下过程中列出的 Amazon CLI 脚本来识别和更新缺少`TableType`属性的表。 如果您更希望使用 CLI 执行此操作，请使用以下过程以帮助您设计脚本。 **使用 CLI 设计脚本** 1. 使用 CLI 来了解哪些 Amazon Glue 表没有`TableType`属性。 ``` aws glue get-tables --database-name ; ``` 例如，可以在 CLI 中运行以下命令。 ``` aws glue get-table --database-name "test_database" --name "table_missing_table_type" ``` 下面是输出内容的示例。可以看到，表 `"table_missing_table_type"` 未声明 `TableType` 属性。 ``` { "TableList": [ { "Retention": 0, "UpdateTime": 1522368588.0, "PartitionKeys": [ { "Name": "year", "Type": "string" }, { "Name": "month", "Type": "string" }, { "Name": "day", "Type": "string" } ], "LastAccessTime": 1513804142.0, "Owner": "owner", "Name": "table_missing_table_type", "Parameters": { "delimiter": ",", "compressionType": "none", "skip.header.line.count": "1", "sizeKey": "75", "averageRecordSize": "7", "classification": "csv", "objectCount": "1", "typeOfData": "file", "CrawlerSchemaDeserializerVersion": "1.0", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "recordCount": "9", "columnsOrdered": "true" }, "StorageDescriptor": { "OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat", "SortColumns": [], "StoredAsSubDirectories": false, "Columns": [ { "Name": "col1", "Type": "string" }, { "Name": "col2", "Type": "bigint" } ], "Location": "s3://myAthenatest/test_dataset/", "NumberOfBuckets": -1, "Parameters": { "delimiter": ",", "compressionType": "none", "skip.header.line.count": "1", "columnsOrdered": "true", "sizeKey": "75", "averageRecordSize": "7", "classification": "csv", "objectCount": "1", "typeOfData": "file", "CrawlerSchemaDeserializerVersion": "1.0", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "recordCount": "9" }, "Compressed": false, "BucketColumns": [], "InputFormat": "org.apache.hadoop.mapred.TextInputFormat", "SerdeInfo": { "Parameters": { "field.delim": "," }, "SerializationLibrary": "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe" } } } ] } ``` 1. 在编辑器中编辑表定义，将 `"TableType": "EXTERNAL_TABLE"` 添加到表定义，如下例所示。 ``` { "Table": { "Retention": 0, "TableType": "EXTERNAL_TABLE", "PartitionKeys": [ { "Name": "year", "Type": "string" }, { "Name": "month", "Type": "string" }, { "Name": "day", "Type": "string" } ], "UpdateTime": 1522368588.0, "Name": "table_missing_table_type", "StorageDescriptor": { "BucketColumns": [], "SortColumns": [], "StoredAsSubDirectories": false, "OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat", "SerdeInfo": { "SerializationLibrary": "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe", "Parameters": { "field.delim": "," } }, "Parameters": { "classification": "csv", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "columnsOrdered": "true", "averageRecordSize": "7", "objectCount": "1", "sizeKey": "75", "delimiter": ",", "compressionType": "none", "recordCount": "9", "CrawlerSchemaDeserializerVersion": "1.0", "typeOfData": "file", "skip.header.line.count": "1" }, "Columns": [ { "Name": "col1", "Type": "string" }, { "Name": "col2", "Type": "bigint" } ], "Compressed": false, "InputFormat": "org.apache.hadoop.mapred.TextInputFormat", "NumberOfBuckets": -1, "Location": "s3://myAthenatest/test_date_part/" }, "Owner": "owner", "Parameters": { "classification": "csv", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "columnsOrdered": "true", "averageRecordSize": "7", "objectCount": "1", "sizeKey": "75", "delimiter": ",", "compressionType": "none", "recordCount": "9", "CrawlerSchemaDeserializerVersion": "1.0", "typeOfData": "file", "skip.header.line.count": "1" }, "LastAccessTime": 1513804142.0 } } ``` 1. 您可以改写以下脚本以更新表输入，使其包含 `TableType` 属性。 ``` aws glue update-table --database-name --table-input ``` 下面是一个示例。 ``` aws glue update-table --database-name test_database --table-input ' { "Retention": 0, "TableType": "EXTERNAL_TABLE", "PartitionKeys": [ { "Name": "year", "Type": "string" }, { "Name": "month", "Type": "string" }, { "Name": "day", "Type": "string" } ], "Name": "table_missing_table_type", "StorageDescriptor": { "BucketColumns": [], "SortColumns": [], "StoredAsSubDirectories": false, "OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat", "SerdeInfo": { "SerializationLibrary": "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe", "Parameters": { "field.delim": "," } }, "Parameters": { "classification": "csv", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "columnsOrdered": "true", "averageRecordSize": "7", "objectCount": "1", "sizeKey": "75", "delimiter": ",", "compressionType": "none", "recordCount": "9", "CrawlerSchemaDeserializerVersion": "1.0", "typeOfData": "file", "skip.header.line.count": "1" }, "Columns": [ { "Name": "col1", "Type": "string" }, { "Name": "col2", "Type": "bigint" } ], "Compressed": false, "InputFormat": "org.apache.hadoop.mapred.TextInputFormat", "NumberOfBuckets": -1, "Location": "s3://myAthenatest/test_date_part/" }, "Owner": "owner", "Parameters": { "classification": "csv", "CrawlerSchemaSerializerVersion": "1.0", "UPDATED_BY_CRAWLER": "crawl_date_table", "columnsOrdered": "true", "averageRecordSize": "7", "objectCount": "1", "sizeKey": "75", "delimiter": ",", "compressionType": "none", "recordCount": "9", "CrawlerSchemaDeserializerVersion": "1.0", "typeOfData": "file", "skip.header.line.count": "1" }, "LastAccessTime": 1513804142.0 }' ```