AWS Glue自定义分类器Json路径

时间:2018-08-28 22:34:51

标签: jsonpath amazon-athena aws-glue

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,其中列已正确标识。

但是,当我在Athena上查询数据时,所有数据都在第一列中,其余列为空。

如何使数据按其列分布?

image of Athena query

谢谢!

1 个答案:

答案 0 :(得分:0)

这是与Hive相关的问题。我建议两种方法。首先,您可以在Athena中使用如下结构数据类型创建新表:

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')

然后您可以按以下方式运行查询:

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

第二,您可以按如下所示重新设计json文件,然后再次运行Crawler。在此示例中,我使用了“每行单个JSON记录”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}