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Returns the specified number of rows (search results) as columns (list of field values), such that each search row becomes a column.

transpose [int] [column_name=<string>] [header_field=<field>] [include_empty=<bool>]

None.

When you use the transpose command the field names used in the output are based on the arguments that you use with the command. By default the field names are: column , row1 , row2 , and so forth.

Use the default settings for the transpose command to transpose the results of a chart command.

... | chart count BY host error_code | transpose

Count the number of events by sourcetype and display the sourcetypes with the highest count first.

index=_internal | stats count by sourcetype | sort -count

Use the transpose command to convert the rows to columns and show the source types with the 3 highest counts.

index=_internal | stats count by sourcetype | sort -count | transpose 3

Search all successful events and count the number of views, the number of times items were added to the cart, and the number of purchases.

sourcetype=access_* status=200 | stats count AS views count(eval(action="addtocart")) AS addtocart count(eval(action="purchase")) AS purchases

This search produces a single row of data.

When you switch to the Visualization tab, the data displays a chart with the "34282 views" as the X axis label and two columns, one for "addtocart "and one for "purchases". Because the information about the views is placed on the X axis, this chart is confusing.

If you change to a pie chart, you see only the "views".

Use the transpose command to convert the columns of the single row into multiple rows.

sourcetype=access_* status=200 | stats count AS views count(eval(action="addtocart")) AS addtocart count(eval(action="purchase")) AS purchases | transpose

Now these rows can be displayed in a column or pie chart where you can compare the counts.

fields , stats

Have questions? Visit Splunk Answers and see what questions and answers the Splunk community has using the transpose command .

This documentation applies to the following versions of Splunk ® Enterprise: 6.0, 6.0.1, 6.0.2, 6.0.3, 6.0.4, 6.0.5, 6.0.6, 6.0.7, 6.0.8, 6.0.9, 6.0.10, 6.0.11, 6.0.12, 6.0.13, 6.0.14, 6.1, 6.1.1, 6.1.2, 6.1.3, 6.1.4, 6.1.5, 6.1.6, 6.1.7, 6.1.8, 6.1.9, 6.1.10, 6.1.11, 6.1.12, 6.1.13, 6.2.0, 6.2.1, 6.2.2, 6.2.3, 6.2.4, 6.2.5, 6.2.6, 6.2.7, 6.2.8, 6.2.9, 6.2.10, 6.2.11, 6.2.12, 6.2.13, 6.2.14, 6.3.0, 6.3.1, 6.3.2, 6.3.3, 6.3.4, 6.3.5, 6.3.6, 6.3.7, 6.3.8, 6.3.9, 6.3.10, 6.3.11, 6.3.12, 6.3.13, 6.4.0, 6.4.1, 6.4.2, 6.4.3, 6.4.4, 6.4.5, 6.4.6, 6.4.7, 6.4.8, 6.4.9, 6.4.10, 6.5.0, 6.5.1, 6.5.1612 (Splunk Cloud only), 6.5.2, 6.5.3, 6.5.4, 6.5.5, 6.5.6, 6.5.7, 6.5.8, 6.6.0, 6.6.1, 6.6.2, 6.6.3, 6.6.4, 6.6.5, 6.6.6, 7.0.0, 7.0.1, 7.0.2, 7.0.3

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Over the past decade, the call for seafood traceability has grown louder and more urgent amid rising concerns about mislabeling, illegal fishing, and diminishing stocks of some of the world’s most commercially important fish. Recent reports have now sounded additional alarms on human trafficking and modern-day slavery within the seafood supply chain. For seafood companies attempting to play by the rules, these systemic failures threaten market efficiencies, brand integrity, and profits.

The seafood traceability agenda to date has been driven largely by nonprofits, consumer advocacy groups, and government agencies focused on product recall, public health, and accurate labeling issues. Increasingly, retailers and other industry representatives are taking up the cause, having been influenced by consumer demand for product transparency and recognizing the need to mitigate risk. However, in the absence of regulation, pushing full-chain implementation of the data capture and management systems required to support true end-to-end traceability has proved challenging.

This report aims to highlight the compelling market incentives of traceability, while raising awareness of the very real human and technological barriers that hamper broader adoption. Through interviews with key technology vendors, NGOs, government agencies, trade groups, and a sample of supply-chain players, Future of Fish assessed: credible business wins offered by traceability technology systems in general; twelve specific seafood traceability vendor solutions and the key business benefits of each; key principles for a smooth transition to traceability adoption and implementation; and barriers to traceability technology adoption, successful implementation, and whole-chain traceability.

Efforts by nonprofits and government agencies to push their traceability agendas are often confounded by the fact that many companies perceive traceability technology as purely an added cost with no measurable returns. However, traceability technology offers some clear business wins for seafood companies. Within the seafood industry, the ability of fishers, processors, distributors, and retailers to seamlessly share key information about a product as it wends its way from dock to dinner plate can improve inventory management, reduce operational inefficiencies, reduce waste and improve yields, increase the pace of decision making, and fuel innovation across the entire business ecosystem. For an industry where the difference between making a profit and being in the red can be a matter of pennies per pound, traceability technology can provide clear competitive advantage.

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