fixed DownloadCSV parameters spec; workflow patching the hostedby replaces the graph content (publication, datasource) rather than creating a copy
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c3ad4ab701
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@ -27,8 +27,8 @@ object SparkApplyHostedByMapToDatasource {
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d
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d
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})(Encoders.bean((classOf[Datasource])))
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})(Encoders.bean((classOf[Datasource])))
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}
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}
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def main(args: Array[String]): Unit = {
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def main(args: Array[String]): Unit = {
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val logger: Logger = LoggerFactory.getLogger(getClass)
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val logger: Logger = LoggerFactory.getLogger(getClass)
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val conf: SparkConf = new SparkConf()
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val conf: SparkConf = new SparkConf()
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@ -41,18 +41,15 @@ object SparkApplyHostedByMapToDatasource {
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.appName(getClass.getSimpleName)
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.appName(getClass.getSimpleName)
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.master(parser.get("master")).getOrCreate()
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.master(parser.get("master")).getOrCreate()
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val graphPath = parser.get("graphPath")
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val graphPath = parser.get("graphPath")
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val outputPath = parser.get("outputPath")
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val outputPath = parser.get("outputPath")
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val preparedInfoPath = parser.get("preparedInfoPath")
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val preparedInfoPath = parser.get("preparedInfoPath")
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implicit val formats = DefaultFormats
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implicit val formats = DefaultFormats
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implicit val mapEncoderPubs: Encoder[Datasource] = Encoders.bean(classOf[Datasource])
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implicit val mapEncoderPubs: Encoder[Datasource] = Encoders.bean(classOf[Datasource])
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implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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implicit val mapEncoderEinfo: Encoder[EntityInfo] = Encoders.bean(classOf[EntityInfo])
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val mapper = new ObjectMapper()
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val mapper = new ObjectMapper()
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val dats : Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource")
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val dats : Dataset[Datasource] = spark.read.textFile(graphPath + "/datasource")
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@ -62,6 +59,12 @@ object SparkApplyHostedByMapToDatasource {
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.map(ei => mapper.readValue(ei, classOf[EntityInfo])))
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.map(ei => mapper.readValue(ei, classOf[EntityInfo])))
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applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
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applyHBtoDats(pinfo, dats).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
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spark.read.textFile(outputPath)
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.write
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.mode(SaveMode.Overwrite)
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.option("compression","gzip")
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.text(graphPath + "/datasource")
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}
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}
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@ -75,8 +75,11 @@ object SparkApplyHostedByMapToResult {
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applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
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applyHBtoPubs(pinfo, pubs).write.mode(SaveMode.Overwrite).option("compression","gzip").json(outputPath)
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spark.read.textFile(outputPath)
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.write
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.mode(SaveMode.Overwrite)
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.option("compression","gzip")
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.text(graphPath + "/publication")
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}
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}
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@ -11,6 +11,12 @@
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"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
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"paramDescription": "the path where to find the pre-processed data for unibi gold list and doj artciles",
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"paramRequired": true
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"paramRequired": true
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},
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},
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{
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"paramName":"of",
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"paramLongName":"outputFile",
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"paramDescription": "the output json file produced by the CSV downlaod procedure",
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"paramRequired": true
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},
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{
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{
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"paramName": "hnn",
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"paramName": "hnn",
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"paramLongName": "hdfsNameNode",
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"paramLongName": "hdfsNameNode",
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