首页 文章

AWS胶水自定义分类器Json Path

提问于
浏览 次
1

我有一组看起来像这样的Json数据文件

[
  {"client":"toys",
   "filename":"toy1.csv",
   "file_row_number":1,
   "secondary_db_index":"4050",
   "processed_timestamp":1535004075,
   "processed_datetime":"2018-08-23T06:01:15+0000",
   "entity_id":"4050",
   "entity_name":"4050",
   "is_emailable":false,
   "is_txtable":false,
   "is_loadable":false}
]

我用以下自定义分类器Json Path创建了一个Glue Crawler

$[*]

Glue返回正确的模式，并正确识别列 .

但是，当我在Athena上查询数据时...所有数据都在第一列中着陆而其余列都是空的 .

如何根据列显示数据？

image of Athena query

谢谢！

jsonpath amazon-athena aws-glue

1 回答

  • 1

    这是一个与Hive相关的问题 . 我建议两种方法 . 首先，您可以使用结构数据类型在Athena中创建新表：

    CREATE EXTERNAL TABLE `example`(
`row` struct<client:string,filename:string,file_row_number:int,secondary_db_index:string,processed_timestamp:int,processed_datetime:string,entity_id:string,entity_name:string,is_emailable:boolean,is_txtable:boolean,is_loadable:boolean> COMMENT 'from deserializer')
ROW FORMAT SERDE 
'org.openx.data.jsonserde.JsonSerDe' 
STORED AS INPUTFORMAT 
'org.apache.hadoop.mapred.TextInputFormat' 
OUTPUTFORMAT 
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://example'
TBLPROPERTIES (
'CrawlerSchemaDeserializerVersion'='1.0', 
'CrawlerSchemaSerializerVersion'='1.0', 
'UPDATED_BY_CRAWLER'='example', 
'averageRecordSize'='271', 
'classification'='json', 
'compressionType'='none', 
'jsonPath'='$[*]', 
'objectCount'='1', 
'recordCount'='1', 
'sizeKey'='271', 
'transient_lastDdlTime'='1535533583', 
'typeOfData'='file')

    然后您可以按如下方式运行查询：

    SELECT row.client, row.filename, row.file_row_number FROM "example"

    其次，您可以重新设计您的json文件，然后再次运行Crawler . 在这个例子中，我使用了Single-JSON-Record-Per-Line格式 .

    {"client":"toys","filename":"toy1.csv","file_row_number":1,"secondary_db_index":"4050","processed_timestamp":1535004075,"processed_datetime":"2018-08-23T06:01:15+0000","entity_id":"4050","entity_name":"4050","is_emailable":false,"is_txtable":false,"is_loadable":false},
{"client":"toys2","filename":"toy2.csv","file_row_number":1,"secondary_db_index":"4050","processed_timestamp":1535004075,"processed_datetime":"2018-08-23T06:01:15+0000","entity_id":"4050","entity_name":"4050","is_emailable":false,"is_txtable":false,"is_loadable":false}
    回复于

相关问题