Unterschiede

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--- fileformats:json [2017/12/21 11:21] – oliver
+++ fileformats:json [2018/01/09 10:45] (aktuell) – [Json data format] oliver
@@ Zeile 2: / Zeile 2: @@
 The ".json"-fileformat is a human readable object oriented format. In the context of analysing motion data it is mainly usful for import/export. The fileformat is not very compact, so you can expect very big files and it is time consuming to work with them.
-==== Output of processing motion data ====
+**MimeType:** text/x-json
+**Default File Suffix:** .json
+**Comments**
+Reading of json-files is not yet implemented.
+==== Output of processed motion data ====
 In the "job configuration" the processing output file format is defined by a labelset file:
 <code xml>
-  <CalcGroup name="...">
+<CalcGroup name="...">
      ...
      <output labelset="output.xml"/>
-  </CalcGroup>
+</CalcGroup>
 </code>
@@ Zeile 16: / Zeile 24: @@
 <code xml>
-  <LabelSet name=...>
+<LabelSet name=...>
      <Labels name="Test" mimeType="text/x-json" fileSuffix="json" basefile="true">
         ...
      </Labels>
      ...
-  </LabelSet>
+</LabelSet>
-</xml>
+</code>
+The conent of a Json output file looks like the following:
-=== Example ===
 <code json>
 {
@@ Zeile 36: / Zeile 45: @@
 </code>
-Phases or events are saved only if available.
+==== Comments ====
+  * Phases- or events-objects are saved only, if phases or events are available.
+  * At the time, not all informations saved in a trial are exported into Json-files. Missing parts can be added easy if needed.
+  * NaN double values are written - against the Json standard - as "NaN".
+==== Output of exported motion data ====
+The Output of motion data exported into the json-format is different to the data saved after processed data:
+Each line is a valid JSON entry without separator at the end. This is similar to other readers and follows [[http://hadoop.apache.org|Hadoop]] convention. [[http://hadoop.apache.org|Hadoop]] and [[http://spark.apache.org/|Spark]] use this format to make sure, splits work properly in a cluster environment. For those new to [[http://hadoop.apache.org|Hadoop]] file format convention, the reason is a large file can be split into chunks and sent to different nodes in a cluster. If a record spanned multiple lines, split might not get the complete record, which will result in runtime errors and calculation errors. Where and how a job splits a file varies depending on the job configuration and cluster size.
+=== Example ===
+<code>
+{"T":3.2416666666666667,"ddHeight":14.934731608645043}
+{"T":3.25,"ddHeight":15.36967956700511}
+{"T":3.2583333333333333,"ddHeight":18.539007468953184}
+{"T":3.2666666666666666,"ddHeight":25.623373268847278}
+{"T":3.275,"ddHeight":35.752522626800086}
+{"T":3.283333333333333,"ddHeight":46.12983110537536}
+{"T":3.2916666666666665,"ddHeight":52.955837424588786}
+{"T":3.3,"ddHeight":52.67600757207088}
+{"T":3.308333333333333,"ddHeight":43.10764808456153}
+{"T":3.3166666666666664,"ddHeight":24.31045834393331}
+{"T":3.3249999999999997,"ddHeight":-0.8832559527070716}
+{"T":3.3333333333333335,"ddHeight":-27.13078708811163}
+{"T":3.341666666666667,"ddHeight":-48.096471956424814}
+{"T":3.35,"ddHeight":-58.79646541630221}
+{"T":3.3583333333333334,"ddHeight":-57.41101652232201}
+{"T":3.3666666666666667,"ddHeight":-45.426316458127665}
+{"T":3.375,"ddHeight":-26.23458332211291}
+{"T":3.3833333333333333,"ddHeight":-3.462568987803557}
+</code>
-At the time not all informations saved in a trial are exported into Json-files. Missing parts can be added easay if needed.
+If in the Export UI the "labelset name" and the "labelgroup name" is defined, than the "labelgroup name" is interpreted as a phase type name and only the frames of the given phase are exported.