如何在不耗尽资源的情况下使用 Amazon Athena 执行查询？

Question

我正在尝试执行此查询以获取一些数据。我在 s3 中的 s3 上的文件大小：//my_datalake/my_table/year=2018/month=9/day=7/ 是 1.1 TB，我有 10014 snappy.parquet 个对象。

SELECT  array_join(array_agg(distinct endpoint),',') as endpoints_all, count(endpoint) as count_endpoints 
    FROM my_datalake.my_table  
    WHERE year=2018 and month=09 and day=07 
    and ts between timestamp '2018-09-07 00:00:00' and timestamp '2018-09-07 23:59:59'
    and status = '2'
    GROUP BY domain, size, device_id, ip

但是我得到了那个错误：

Query exhausted resources at this scale factor

(Run time: 6 minutes 41 seconds, Data scanned: 153.87GB)

我有分区 YEAR、MONTH、DAY 和 HOUR。我该如何做这个查询？我可以使用 Amazon Athena 执行此操作还是需要使用其他工具？

我的 table 的架构是：

   CREATE EXTERNAL TABLE `ssp_request_prueba`(
  `version` string, 
  `adunit` string, 
  `adunit_original` string, 
  `brand` string, 
  `country` string, 
  `device_connection_type` string, 
  `device_density` string, 
  `device_height` string, 
  `device_id` string, 
  `device_type` string, 
  `device_width` string, 
  `domain` string, 
  `endpoint` string, 
  `endpoint_version` string, 
  `external_dfp_id` string, 
  `id_req` string, 
  `ip` string, 
  `lang` string, 
  `lat` string, 
  `lon` string, 
  `model` string, 
  `ncc` string, 
  `noc` string, 
  `non` string, 
  `os` string, 
  `osv` string, 
  `scc` string, 
  `sim_operator_code` string, 
  `size` string, 
  `soc` string, 
  `son` string, 
  `source` string, 
  `ts` timestamp, 
  `user_agent` string, 
  `status` string, 
  `delivery_network` string, 
  `delivery_time` string, 
  `delivery_status` string, 
  `delivery_network_key` string, 
  `delivery_price` string, 
  `device_id_original` string, 
  `tracking_limited` string, 
  `from_cache` string, 
  `request_price` string)
PARTITIONED BY ( 
  `year` int, 
  `month` int, 
  `day` int, 
  `hour` int)
ROW FORMAT SERDE 
  'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe' 
STORED AS INPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat' 
OUTPUTFORMAT 
  'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'
LOCATION
  's3://my_datalake/my_table'
TBLPROPERTIES (
  'has_encrypted_data'='false', 
  'transient_lastDdlTime'='1538747353')

Answer 1

问题可能与 array_join 和 array_agg 函数有关。我想在这种情况下，Athena 服务中节点的内存限制已被超出。结合这些功能，Athena 可能无法管理如此大量的数据。

如何在不耗尽资源的情况下使用 Amazon Athena 执行查询？

How to execute a query with Amazon Athena without exhausted resources?

amazon-s3

amazon-athena