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Amazon CloudFront is a web service that speeds up the distribution of your static and dynamic web content. You can configure CloudFront to create log files that contain detailed information about every user request that CloudFront receives. If you enable logging, you can save CloudFront log files, shown as follows:

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For more details on available out modes, see review the Appendix Bbelow.


4.3. Guess Fields (Generate load.yml)

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It’s also recommended to specify --time-column option, because Treasure Data’s storage is partitioned by time (see data partitioning). If the option is not provided, the data connector chooses the first long or timestamp column as the partitioning time. The type of the column specified by --time-column must be either of long and timestamp type.

If your data doesn’t have a time column you can add a time column by using add_time filter option. For more details see add_time filter plugin

Code Block
linenumberstrue
$ td connector:issue load.yml --database td_sample_db --table td_sample_table \
  --time-column created_at

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It’s also recommended to specify the --time-column option, because Treasure Data’s storage is partitioned by time (see data partitioning).

Code Block
linenumberstrue
$ td connector:create \
    daily_import \
    "10 0 * * *" \
    td_sample_db \
    td_sample_table \
    load.yml \
    --time-column created_at

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