{"jobID":"<jobIDAsHash>","name":"<name>","params":["<value>","<value>",...],"time":"<yyyy-mm-dd hh:mm:ss>"}

• jobID: Unique Job ID
• name: Identifier for the Job
• params: Parameter for this Job
• time: The timestamp of the initiation of this Job

• jobID: Unique Job ID
• jobResult: Result Object of this Job

{"jobID":"<jobIDAsHash>","jobResult":{...see Jobs...}}

• jobID: Unique Job ID
• error: Error message

{"jobID":"<jobIDAsHash>","jobResult":{"errorMessage":"<message>", "errorCode":<Code>}}

Error Codes	Description
100	Wrong job parameter
101	Job execution failed
400	Job not known or found
404	Json not parseable

Name	Params	Result	Additional
TopHashtagJob	"<yyyy-mm-dd hh:mm:ss>","<topX>"	{"topHashtags":[{"hashtag":"<hashtag>","count":<count>},{"hashtag":"<hashtag>","count":<count>}],countAllHashtags:<countAllCountedHashtags>}
ApacheFlumeJob	"<method>"	{"output":"<method output>"}	Available Methods: start, stop, restart, status, log
ApacheSparkJob	"<method>"	{"output":"<method output>"}	Available Methods: restart, status, log, debug, update
TweetsAtDaytimeJob	"<daytime as timestamp>"	{"countedTweets": [{"timestamp":"<time as timestamp>", "count":<tweet count> },...]}	Allowed hours: 0-23; earliest possible current time -13h
WordSearchJob	"<word to look for>",	{"searchWord":"<word>", "countedTweets": [{"timestamp":"<timestamp" , "count": "<tweetcount>"}, {"timestamp":"<timestamp" , "count": "<tweetcount>"},...], "tweetIds":["<id>","<id>",...]}	Input is evaluated by the Node.js server. Allowed characters: [#]?[a-zA-Zäüö0-9]+. The timestamp marks the start of the analysis.
OriginTweetsJob	"<timestamp>"	{"timestamp":"<timestamp>", "originTweetCount":<originTweetCout>, "retweetCount":<retweetCount>}
LanguageDistributionJob	"<timestamp>"	{"languages": [{"language":"<language>", "count":<count>},...]}
LearnClassifierJob		{"msg":"<Success message>"}
CategoryDistributionJob	"<timestamp>"	{"distribution": [{"category":"<category>", "count":<count>},...],"totalCount":<count> }	The ammount is calculated for one hour each.
CategoryDistributionJob	"<timestamp>","<sampleTweetCount>"	{"distribution": [{"category":"<category>", "count":<count>},...],"totalCount":<count>,"tweets":[{"text":"<tweetText>","categoryProb":[{"category":"<categorey1>","prob":<float 0..1>},{"category":"<categorey1>","prob":<float 0..1>}]}]}}	The ammount is calculated for one hour each. In addition the number of <sampleTweetCount> is returned as sample tweets. Each tweet has a text and the probability to be in each category. Tweets below a certain threshold are unregarded.