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Follow these steps to upload a file from your local machine to your Devo domain.
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Upload limits File size → Note that there is a 2GB limit on files uploaded from the local machine. Event length → Note that there is a limit of 10KB per line (equivalent to 10,000 characters).
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Once inside the Data upload area, you can either drag and drop the file or navigate to the necessary folder and select it for upload. You can try the process using this file: When you have selected the file, click the Settings button. The settings page appears. .png?version=1&modificationDate=1689056323463&cacheVersion=1&api=v2&width=340) This page contains a couple of fields that will determine how the data will be saved in Devo. Tag | The first two levels of the tag are predefined as my.upload. The third and fourth levels are up to you. Try to name them in a way that will help you identify the data contained in the data table. |
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Date parsing type | The date assigned to the events when parsing the data contained in your file. You have two options: can either use the date at the moment of uploading the file or use a date contained in the event information. If you choose Current date, each event will be assigned the date at the moment of uploading the file. If you choose Date from a log field, each event will be assigned a date that is included in their information. You must then indicate the Parsing log type so that Devo can scan the events and highlight the fields that it recognizes as possible date/time information. You can select one of the following options as a parsing type:
CSV: the file is treated as a typical CSV in which the sequence of fields is constructed using commas as delimiters. The resultant fields appear below for you to select the desired one to extract the date. Delimiter: if the delimiter in your file is not a comma, you can specify a different one. You just need to type the delimiter that matches the one contained in your file and then select one of the fields below to extract to date. Syslog: if your file complies with the syslog structure, you can select this option and the fields with a valid date format will appear below for you to select. Regular Expression: you can use a regular expression to establish a search pattern to find a piece of information that expresses a date. If you want to know more about regular expressions, the language they use and the syntax to construct them you can click the following link.
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The fields that appear in light grey cannot be selected because they do not match the accepted format while the fields in green are the ones that coincide with a format recognized by Devo. Check the table at the end of the article to see the accepted date formats as well as some of the most recurrent regular expressions to search for dates. |
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Click the Summary button. | Note |
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In some cases, you may experience a browser crash due to conflicts with external cookies. To avoid this issue, clear your browser’s cookies and reload your browser before uploading the file. |
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To work with the new data, go to Data search and use the finder to locate the my.upload table that you just created. This table will always be created with the following three columns:
eventdate | This is the date in which the data arrives into Devo or the one specified using a log field. |
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uploadid | This is the coding that identifies the data according to the moment it is uploaded. Each new upload will have a unique uploadid. |
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message | Use the Split (split) function to manually parse the message of the column. |
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Working with JSON files? Please bear in mind that if you are uploading a file in JSON format, it will show as string data type in the search window. To parse this string to JSON data type, use the to json operation. |
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Devo is capable of recognizing a wide range of date formats in the files you upload and you can use regular expressions to find them and use them.
Format | Sample | Regular expression |
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DD/MM/YYYY | 30/05/2017 | \d{2}\/\d{2}\/\d{4}
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DD/MM/YYYY HH:mm:ss | 30/05/2017 18:00:00 | \d{2}\/\d{2}\/\d{4}\s\d{2}\:\d{2}\:\d{2}
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DD:MM:YYYY | 30:05:2017 | \d{2}\:\d{2}\:\d{4}
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DD:MM:YYYY-HH:mm:ss | 30:05:2017-18:00:00 | \d{2}\:\d{2}\:\d{4}\-\d{2}\:\d{2}\:\d{2}
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ddd MMM DD HH:mm:ss YYYY | Tue May 30 18:00:00 2017 | \w{3}\s\w{3}\s\d{2}\s\d{2}\:\d{2}\:\d{2}\s\d{4}
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DD-MMM-YYYY HH:mm:ss.SSS | 30-May-2017 18:00:00.123 | \d{2}\-\w{3}\-\d{4}\s\d{2}\:\d{2}\:\d{2}\.\d{3}
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DD-MM-YYYY | 30-05-2017 | \d{2}\-\d{2}\-\d{4}
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MMM dd HH:mm:ss | May 30 18:00:00 | \w{3}\s\d{2}\s\d{2}\:\d{2}\:\d{2}
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x (epoch milliseconds with dot separator) | 1496167200 | \d{10}\.\d{3}
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YYYY/MM/DD | 2017/05/30 | \d{4}\/\d{2}\/\d{2}
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YYYY/MM/DD HH:mm:ss | 2017/05/30 18:00:00 | \d{4}\/\d{2}\/\d{2}\s\d{2}\:\d{2}\:\d{2}
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YYYY/MM/DD hh:mm:ss | 2017/09/14 15:10:23 | \d{4}\/\d{2}\/\d{2}\s\d{2}\:\d{2}\:\d{2}
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YYYY:MM:DD | 2017:05:30 | \d{4}\:\d{2}\:\d{2}
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YYYY:MM:DD-HH:mm:ss | 2017:05:30-18:00:00 | \d{4}\:\d{2}\:\d{2}\-\d{2}\:\d{2}\:\d{2}
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YYYY-MM-DD | 2017-05-30 | \d{4}\-\d{2}\-\d{2}
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YYYY-MM-DD hh:mm:ss | 2017-09-14 15:10:23 | \d{4}\-\d{2}\-\d{2}\ s\d{2}\:\d{2}\:\d{2}
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YYYY-MM-DD HH:mm:ss.SSS | 2017-05-30 18:00:00.123 | \d{4}\-\d{2}\-\d{2}\s\d{2}\:\d{2}\:\d{2}\.\d{3}
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YYYY-MM-DD HH:mm:ss.SSSSSS | 2013-01-17 00:54:01.744909 | \d{4}\-\d{2}\-\d{2}\s\d{2}\:\d{2}\:\d{2}\.\d{6}
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YYYY-MM-DDThh:mm:ss | 2017-09-13T19:01:15 | \d{4}-\d{2}-\d{2}T\d{2}\:\d{2}\:\d{2}
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YYYY-MM-DDThh:mm:ss.SSSZ | 2017-09-13T19:01:15.000Z | \d{4}-\d{2}-\d{2}T\d{2}\:\d{2}\:\d{2}\.\d{3}Z
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YYYY-MM-DDThh:mm:ssZ | 2017-09-13T19:01:15Z | \d{4}-\d{2}-\d{2}T\d{2}\:\d{2}\:\d{2}Z
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