# Create a table for CloudFront logs in Athena using manual partitioning with JSON
<a name="create-cloudfront-table-manual-json"></a>

**To create a table for CloudFront standard log file fields using a JSON format**

1. Copy and paste the following example DDL statement into the Query Editor in the Athena console. The example statement uses the log file fields documented in the [Standard log file fields](https://docs.amazonaws.cn/AmazonCloudFront/latest/DeveloperGuide/AccessLogs.html#BasicDistributionFileFormat) section of the *Amazon CloudFront Developer Guide*. Modify the `LOCATION` for the Amazon S3 bucket that stores your logs. 

   This query uses OpenX JSON SerDe with the following SerDe properties to read JSON fields correctly in Athena.

   ```
   CREATE EXTERNAL TABLE `cf_logs_manual_partition_json`(
     `date` string , 
     `time` string , 
     `x-edge-location` string , 
     `sc-bytes` string , 
     `c-ip` string , 
     `cs-method` string , 
     `cs(host)` string , 
     `cs-uri-stem` string , 
     `sc-status` string , 
     `cs(referer)` string , 
     `cs(user-agent)` string , 
     `cs-uri-query` string , 
     `cs(cookie)` string , 
     `x-edge-result-type` string , 
     `x-edge-request-id` string , 
     `x-host-header` string , 
     `cs-protocol` string , 
     `cs-bytes` string , 
     `time-taken` string , 
     `x-forwarded-for` string , 
     `ssl-protocol` string , 
     `ssl-cipher` string , 
     `x-edge-response-result-type` string , 
     `cs-protocol-version` string , 
     `fle-status` string , 
     `fle-encrypted-fields` string , 
     `c-port` string , 
     `time-to-first-byte` string , 
     `x-edge-detailed-result-type` string , 
     `sc-content-type` string , 
     `sc-content-len` string , 
     `sc-range-start` string , 
     `sc-range-end` string )
   ROW FORMAT SERDE 
     'org.openx.data.jsonserde.JsonSerDe' 
   WITH SERDEPROPERTIES ( 
     'paths'='c-ip,c-port,cs(Cookie),cs(Host),cs(Referer),cs(User-Agent),cs-bytes,cs-method,cs-protocol,cs-protocol-version,cs-uri-query,cs-uri-stem,date,fle-encrypted-fields,fle-status,sc-bytes,sc-content-len,sc-content-type,sc-range-end,sc-range-start,sc-status,ssl-cipher,ssl-protocol,time,time-taken,time-to-first-byte,x-edge-detailed-result-type,x-edge-location,x-edge-request-id,x-edge-response-result-type,x-edge-result-type,x-forwarded-for,x-host-header') 
   STORED AS INPUTFORMAT 
     'org.apache.hadoop.mapred.TextInputFormat' 
   OUTPUTFORMAT 
     'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
   LOCATION
     's3://amzn-s3-demo-bucket/'
   ```

1. Run the query in Athena console. After the query completes, Athena registers the `cf_logs_manual_partition_json` table, making the data in it ready for you to issue queries.

## Example queries
<a name="query-examples-cloudfront-logs-manual-json"></a>

The following query adds up the number of bytes served by CloudFront for January 15, 2025.

```
SELECT sum(cast("sc-bytes" as BIGINT)) as sc
FROM cf_logs_manual_partition_json
WHERE "date"='2025-01-15'
```

To eliminate duplicate rows (for example, duplicate empty rows) from the query results, you can use the `SELECT DISTINCT` statement, as in the following example. 

```
SELECT DISTINCT * FROM cf_logs_manual_partition_json
```