forked from opensci/piflow
coco11563
parent
554cd25dc4
commit
3327f58662
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@ -1,24 +1,434 @@
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package cn.piflow.bundle.rdf
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import cn.piflow.{JobContext, JobInputStream, JobOutputStream, ProcessContext}
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import cn.piflow.conf.{ConfigurableStop, PortEnum}
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import cn.piflow.conf.{ConfigurableStop, PortEnum, StopGroupEnum}
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import cn.piflow.conf.bean.PropertyDescriptor
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import cn.piflow.conf.util.{ImageUtil, MapUtil}
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class CsvToNeo4J {
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/*override val authorEmail: String = "sha0w@cnic.cn"
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override val description: String = "this stop use linux shell & neo4j-import command to lead CSV file data create/into a database"
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import scala.sys.process._
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class CsvToNeo4J extends ConfigurableStop{
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override val authorEmail: String = "sha0w@cnic.cn"
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override val description: String = "this stop use linux shell & neo4j-import command " +
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"to lead CSV file data create/into a database" +
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"the neo4j version is 3.0+"
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override val inportList: List[String] = List(PortEnum.NonePort.toString)
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override val outportList: List[String] = List(PortEnum.NonePort.toString)
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override def setProperties(map: Map[String, Any]): Unit = ???
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//run time parameter
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var argumentFiles : String = _
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var dbPath : String = _
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var dbName : String = _
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var idType : String = _
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var labels : String = _
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var files : String = _
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var relationshipFiles : String = _
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var ignoreEmptyString : String = _
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var delimiter : String = _
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var arrayDelimiter : String = _
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var quote : String = _
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var multilineFields : String = _
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var trimString : String = _
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var encoding : String = _
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var maxProcessorCount : String = _
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var stackTrace : String = _
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var badTolerance : String = _
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var skipDuplicate : String = _
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var logBadEntries : String = _
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var skipBadRelationships : String = _
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var ignoreExtraCol : String = _
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var dbConfigure : String = _
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var configPath : String = _
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var additionalConfig : String = _
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var lagacyQuotingStyle : String = _
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var readBufferSize : String = _
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var maxMemory : String = _
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var cacheOnHeap : String = _
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var highIO : String = _
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var detailProgress : String = _
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override def getPropertyDescriptor(): List[PropertyDescriptor] = ???
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override def getIcon(): Array[Byte] = ???
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override def getGroup(): List[String] = ???
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override def initialize(ctx: ProcessContext): Unit = ???
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override def setProperties(map: Map[String, Any]): Unit = {
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argumentFiles = MapUtil.get(map, "fileName").asInstanceOf[String]
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dbPath = MapUtil.get(map, "storeDir").asInstanceOf[String]
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dbName = MapUtil.get(map, "databaseName").asInstanceOf[String]
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idType = MapUtil.get(map, "idType").asInstanceOf[String]
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labels = MapUtil.get(map, "labels").asInstanceOf[String]
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files = MapUtil.get(map, "files").asInstanceOf[String]
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relationshipFiles = MapUtil.get(map, "relationshipFiles").asInstanceOf[String]
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delimiter = MapUtil.get(map, "delimiter").asInstanceOf[String]
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arrayDelimiter = MapUtil.get(map, "arrayDelimiter").asInstanceOf[String]
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quote = MapUtil.get(map, "quote").asInstanceOf[String]
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multilineFields = MapUtil.get(map, "multilineFields").asInstanceOf[String]
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trimString = MapUtil.get(map, "trimStrings").asInstanceOf[String]
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encoding = MapUtil.get(map, "encoding").asInstanceOf[String]
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ignoreEmptyString = MapUtil.get(map, "ignoreEmptyString").asInstanceOf[String]
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maxProcessorCount = MapUtil.get(map, "processors").asInstanceOf[String]
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stackTrace = MapUtil.get(map, "stackTrace").asInstanceOf[String]
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badTolerance = MapUtil.get(map, "badTolerance").asInstanceOf[String]
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logBadEntries = MapUtil.get(map, "skipBadEntriesLogging").asInstanceOf[String]
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skipBadRelationships = MapUtil.get(map, "skipBadRelationships").asInstanceOf[String]
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skipDuplicate = MapUtil.get(map, "skipDuplicateNodes").asInstanceOf[String]
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ignoreExtraCol = MapUtil.get(map, "ignoreExtraColumns").asInstanceOf[String]
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dbConfigure = MapUtil.get(map, "dbConfig").asInstanceOf[String]
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additionalConfig = MapUtil.get(map, "additionalConfig").asInstanceOf[String]
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lagacyQuotingStyle = MapUtil.get(map, "legacyStyleQuoting").asInstanceOf[String]
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readBufferSize = MapUtil.get(map, "readBufferSize").asInstanceOf[String]
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maxMemory = MapUtil.get(map, "maxMemory").asInstanceOf[String]
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cacheOnHeap = MapUtil.get(map, "cache").asInstanceOf[String]
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highIO = MapUtil.get(map, "highIO").asInstanceOf[String]
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detailProgress = MapUtil.get(map, "detailProgress").asInstanceOf[String]
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}
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override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = ???*/
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override def getPropertyDescriptor(): List[PropertyDescriptor] = {
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val f : PropertyDescriptor = new PropertyDescriptor()
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.name("fileName")
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.displayName("file name")
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.required(false)
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.defaultValue("default")
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.description("File containing all arguments, used as an alternative to supplying all arguments \n\t" +
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"on the command line directly.Each argument can be on a separate line or multiple \n\t" +
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"arguments per line separated by space.Arguments containing spaces needs to be \n\t" +
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"quoted.Supplying other arguments in addition to this file argument is not \n\t" +
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"supported.")
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val into : PropertyDescriptor = new PropertyDescriptor()
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.name("storeDir")
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.displayName("store directory")
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.required(true)
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.defaultValue("/data/neo4j-db/database/graph.db")
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.description("Database directory to import into. \r\n" +
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"Must not contain existing database.")
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val database : PropertyDescriptor = new PropertyDescriptor()
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.name("databaseName")
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.displayName("database name")
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.required(true)
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.defaultValue("graph.db")
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.description("Database name to import into. \r\n" +
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"Must not contain existing database.")
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val nodeLabels : PropertyDescriptor = new PropertyDescriptor()
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.name("labels")
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.displayName("nodes labels paths")
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.required(true)
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.description("Node CSV header and data. Multiple files will be logically seen as one big file " +
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"\n\tfrom the perspective of the importer. The first line must contain the header. " +
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"\n\tMultiple data sources like these can be specified in one import, where each data " +
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"\n\tsource has its own header. Note that file groups must be enclosed in quotation " +
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"\n\tmarks. Each file can be a regular expression and will then include all matching " +
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"\n\tfiles. The file matching is done with number awareness such that e.g. " +
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"\n\tfiles:'File1Part_001.csv', 'File12Part_003' will be ordered in that order for a " +
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"\n\tpattern like: 'File.*'")
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val nodesFiles : PropertyDescriptor = new PropertyDescriptor()
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.name("files")
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.displayName("nodes files paths")
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.required(true)
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.description("Node CSV header and data. Multiple files will be logically seen as one big file " +
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"\n\tfrom the perspective of the importer. The first line must contain the header. " +
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"\n\tMultiple data sources like these can be specified in one import, where each data " +
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"\n\tsource has its own header. Note that file groups must be enclosed in quotation " +
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"\n\tmarks. Each file can be a regular expression and will then include all matching " +
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"\n\tfiles. The file matching is done with number awareness such that e.g. " +
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"\n\tfiles:'File1Part_001.csv', 'File12Part_003' will be ordered in that order for a " +
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"\n\tpattern like: 'File.*'")
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val relationships : PropertyDescriptor = new PropertyDescriptor()
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.name("relationshipFiles")
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.required(true)
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.displayName("relationship file paths")
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.description("Relationship CSV header and data. Multiple files will be logically seen as one " +
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"\n\tbig file from the perspective of the importer. The first line must contain the " +
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"\n\theader. Multiple data sources like these can be specified in one import, where " +
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"\n\teach data source has its own header. Note that file groups must be enclosed in " +
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"\n\tquotation marks. Each file can be a regular expression and will then include all " +
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"\n\tmatching files. The file matching is done with number awareness such that e.g. " +
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"\n\tfiles:'File1Part_001.csv', 'File12Part_003' will be ordered in that order for a " +
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"\n\tpattern like: 'File.*'")
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val delimiter : PropertyDescriptor = new PropertyDescriptor()
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.name("delimiter")
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.required(false)
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.defaultValue("default")
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.description("Delimiter character, or 'TAB', between values in CSV data. The default option is \",\".")
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val arrayDelimiter : PropertyDescriptor = new PropertyDescriptor()
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.name("arrayDelimiter")
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.required(false)
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.defaultValue("default")
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.description("Delimiter character, or 'TAB', between array elements within a value in CSV \n\t" +
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"data. The default option is ';'.")
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val quote : PropertyDescriptor = new PropertyDescriptor()
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.name("quote")
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.displayName("quote character")
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.required(false)
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.defaultValue("default")
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.description("Character to treat as quotation character for values in CSV data. The default " +
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"\n\toption is \". Quotes inside quotes escaped like \"\"\"Go away\"\", he said.\" and \"\\\"Go \n\taway\\\", he said.\" are supported. If you have set \"'\" to be used as the quotation " +
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"\n\tcharacter, you could write the previous example like this instead: '\"Go away\", " +
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"\n\the said.'")
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val multilineFields : PropertyDescriptor = new PropertyDescriptor()
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.name("multilineFields")
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.displayName("multiline fields")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("true","false"))
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.description("Whether or not fields from input source can span multiple lines, i.e. contain " +
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"\n\tnewline characters. Default value: false")
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val trimString : PropertyDescriptor = new PropertyDescriptor()
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.name("trimStrings")
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.displayName("trim strings")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.description("Whether or not strings should be trimmed for whitespaces. Default value: false")
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val inputEncoding : PropertyDescriptor = new PropertyDescriptor()
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.name("encoding")
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.displayName("input encoding")
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.required(false)
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.defaultValue("default")
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.description("Character set that input data is encoded in. Provided value must be one out of " +
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"\n\tthe available character sets in the JVM, as provided by " +
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"\n\tCharset#availableCharsets(). If no input encoding is provided, the default " +
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"\n\tcharacter set of the JVM will be used.")
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val ignoreEmptyString : PropertyDescriptor = new PropertyDescriptor()
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.name("ignoreEmptyString")
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.displayName("ignore empty string")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.description("\tWhether or not empty string fields, i.e. \"\" from input source are ignored, i.e. " +
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"\n\ttreated as null. Default value: false")
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val idType : PropertyDescriptor = new PropertyDescriptor()
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.name("idType")
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.displayName("id type")
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.required(false)
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.defaultValue("STRING")
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.allowableValues(Set("STRING","INTEGER","ACTUAL"))
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.description("One out of [STRING, INTEGER, ACTUAL] and specifies how ids in node/relationship " +
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"\n\tinput files are treated." +
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"\n\tSTRING: arbitrary strings for identifying nodes." +
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"\n\tINTEGER: arbitrary integer values for identifying nodes." +
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"\n\tACTUAL: (advanced) actual node ids. The default option is STRING. Default value: " +
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"\n\tSTRING")
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val processors : PropertyDescriptor = new PropertyDescriptor()
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.name("processors")
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.displayName("processor count")
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.required(false)
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.defaultValue("default")
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.description("(advanced) Max number of processors used by the importer. Defaults to the number " +
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"\n\tof available processors reported by the JVM (in your case 16). There is a " +
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"\n\tcertain amount of minimum threads needed so for that reason there is no lower " +
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"\n\tbound for this value. For optimal performance this value shouldn't be greater " +
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"\n\tthan the number of available processors.")
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val stackTrace : PropertyDescriptor = new PropertyDescriptor()
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.name("stackTrace")
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.displayName("stack trace")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.description("Enable printing of error stack traces. Default value: false")
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val badTolerance : PropertyDescriptor = new PropertyDescriptor()
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.name("badTolerance")
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.displayName("tolerant bad input")
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.required(false)
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.defaultValue("1000")
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.description("Number of bad entries before the import is considered failed. This tolerance " +
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"\n\tthreshold is about relationships refering to missing nodes. Format errors in " +
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"\n\tinput data are still treated as errors. Default value: 1000")
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val skipBadEntriesLogging : PropertyDescriptor = new PropertyDescriptor()
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.name("skipBadEntriesLogging")
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.displayName("skip the bad entries log")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.description("Whether or not to skip logging bad entries detected during import. Default " +
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"\n\tvalue: false")
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val skipBadRelationships : PropertyDescriptor = new PropertyDescriptor()
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.name("skipBadRelationships")
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.displayName("skip bad relationships")
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.defaultValue("true")
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.required(false)
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.allowableValues(Set("true", "false"))
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.description("Whether or not to skip importing relationships that refers to missing node ids, " +
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"\n\ti.e. either start or end node id/group referring to node that wasn't specified " +
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"\n\tby the node input data. Skipped nodes will be logged, containing at most number " +
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"\n\tof entites specified by bad-tolerance, unless otherwise specified by " +
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"\n\tskip-bad-entries-logging option. Default value: true")
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val skipDuplicateNodes : PropertyDescriptor = new PropertyDescriptor()
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.name("skipDuplicateNodes")
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.displayName("skip the duplicated nodes")
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.required(false)
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.description("Whether or not to skip importing nodes that have the same id/group. In the event " +
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"\n\tof multiple nodes within the same group having the same id, the first " +
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"\n\tencountered will be imported whereas consecutive such nodes will be skipped. " +
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"\n\tSkipped nodes will be logged, containing at most number of entities specified by " +
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"\n\tbad-tolerance, unless otherwise specified by skip-bad-entries-loggingoption. " +
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"\n\tDefault value: false")
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val ignoreExtraColumns : PropertyDescriptor = new PropertyDescriptor()
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.name("ignoreExtraColumns")
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.displayName("ignore extra columns")
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.defaultValue("false")
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.allowableValues(Set("true", "false"))
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.required(false)
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.description("Whether or not to ignore extra columns in the data not specified by the header. " +
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"\n\tSkipped columns will be logged, containing at most number of entities specified " +
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"\n\tby bad-tolerance, unless otherwise specified by skip-bad-entries-loggingoption. " +
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"\n\tDefault value: false")
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val dbConfig : PropertyDescriptor = new PropertyDescriptor()
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.name("dbConfig")
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.required(false)
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.defaultValue("default")
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.displayName("db config path")
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.description("(advanced) Option is deprecated and replaced by 'additional-config'. ")
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val additionalConfig : PropertyDescriptor = new PropertyDescriptor()
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.name("additionalConfig")
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.displayName("additional config path")
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.defaultValue("default")
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.required(false)
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.description("(advanced) File specifying database-specific configuration. For more information " +
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"\n\tconsult manual about available configuration options for a neo4j configuration " +
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"\n\tfile. Only configuration affecting store at time of creation will be read. " +
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"\n\tExamples of supported config are:" +
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"\n\tdbms.relationship_grouping_threshold" +
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"\n\tunsupported.dbms.block_size.strings" +
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"\n\tunsupported.dbms.block_size.array_properties")
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val legacyStyleQuoting : PropertyDescriptor = new PropertyDescriptor()
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.name("legacyStyleQuoting")
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.displayName("legacy style quoting")
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.defaultValue("true")
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.allowableValues(Set("true", "false"))
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.required(false)
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.description("Whether or not backslash-escaped quote e.g. \\\" is interpreted as inner quote. " +
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"\n\tDefault value: true")
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val readBufferSize : PropertyDescriptor = new PropertyDescriptor()
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.name("readBufferSize")
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.displayName("read buffer size")
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.defaultValue("4194304")
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.required(false)
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.description("Size of each buffer for reading input data. It has to at least be large enough" +
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"\r\n(eg : bytes, e.g. 10k, 4M)" +
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"\n\tto hold the biggest single value in the input data. Default value: 4194304")
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val maxMemory : PropertyDescriptor = new PropertyDescriptor()
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.name("maxMemory")
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.displayName("max memory")
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.defaultValue("default")
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.required(false)
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.description("(advanced) Maximum memory that importer can use for various data structures and " +
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"\n\tcaching to improve performance. If left as unspecified (null) it is set to 90% " +
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"\n\tof (free memory on machine - max JVM memory). Values can be plain numbers, like " +
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"\n\t10000000 or e.g. 20G for 20 gigabyte, or even e.g. 70%.")
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val cacheOnHeap : PropertyDescriptor = new PropertyDescriptor()
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.name("cache")
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.displayName("cache on heap[advanced]")
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.defaultValue("false")
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.allowableValues(Set("false", "true"))
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.required(false)
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.description("(advanced) Whether or not to allow allocating memory for the cache on heap. If " +
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"\n\t'false' then caches will still be allocated off-heap, but the additional free " +
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"\n\tmemory inside the JVM will not be allocated for the caches. This to be able to " +
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"\n\thave better control over the heap memory. Default value: false")
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val highIO : PropertyDescriptor = new PropertyDescriptor()
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.name("highIO")
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.displayName("is high io[advanced]")
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.allowableValues(Set("true", "false"))
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.defaultValue("false")
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.required(false)
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.description("(advanced) Ignore environment-based heuristics, and assume that the target " +
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"\n\tstorage subsystem can support parallel IO with high throughput.")
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val detailedProgress : PropertyDescriptor = new PropertyDescriptor()
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.name("detailedProgress")
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.displayName("detailed progress")
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.required(false)
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.defaultValue("false")
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.allowableValues(Set("false", "true"))
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.description("Use the old detailed 'spectrum' progress printing. Default value: false")
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List(f, into, database, nodeLabels, nodesFiles,
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relationships, delimiter, arrayDelimiter,
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quote, multilineFields, trimString, inputEncoding,
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ignoreEmptyString, idType, processors, stackTrace,
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badTolerance, skipBadEntriesLogging, skipBadEntriesLogging,
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skipBadRelationships, skipDuplicateNodes, ignoreExtraColumns,
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dbConfig, additionalConfig, legacyStyleQuoting, readBufferSize,
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maxMemory, cacheOnHeap, highIO, detailedProgress)
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}
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override def getIcon(): Array[Byte] = ImageUtil.getImage("neo4j.jpg")
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|
||||
override def getGroup(): List[String] = List(StopGroupEnum.RDFGroup.toString)
|
||||
|
||||
override def initialize(ctx: ProcessContext): Unit = {}
|
||||
|
||||
override def perform(in: JobInputStream, out: JobOutputStream, pec: JobContext): Unit = {
|
||||
val ret : Stream[String] = s" nohup" +
|
||||
makeCommand("into", dbPath) +
|
||||
makeCommand("f", argumentFiles) +
|
||||
makeCommand("database", dbName) +
|
||||
makeCommand("nodes", labels, files) +
|
||||
makeCommand("relationships", relationshipFiles) +
|
||||
makeCommand("delimiter", delimiter) +
|
||||
makeCommand("array-delimiter", arrayDelimiter) +
|
||||
makeCommand("quote", quote) +
|
||||
makeCommand("multiline-fields", multilineFields) +
|
||||
makeCommand("trim-strings", trimString) +
|
||||
makeCommand("input-encoding", encoding) +
|
||||
makeCommand("ignore-empty-strings", ignoreEmptyString) +
|
||||
makeCommand("id-type", idType) +
|
||||
makeCommand("processors", maxProcessorCount) +
|
||||
makeCommand("stacktrace", stackTrace) +
|
||||
makeCommand("bad-tolerance", badTolerance) +
|
||||
makeCommand("skip-bad-entries-logging", logBadEntries) +
|
||||
makeCommand("skip-bad-relationships", skipBadRelationships) +
|
||||
makeCommand("skip-duplicate-nodes", skipDuplicate) +
|
||||
makeCommand("ignore-extra-columns", ignoreExtraCol) +
|
||||
makeCommand("db-config", dbConfigure) +
|
||||
makeCommand("additional-config", additionalConfig) +
|
||||
makeCommand("legacy-style-quoting", additionalConfig) +
|
||||
makeCommand("read-buffer-size", readBufferSize) +
|
||||
makeCommand("max-memory", maxMemory) +
|
||||
makeCommand("cache-on-heap", cacheOnHeap) +
|
||||
makeCommand("high-io", highIO) +
|
||||
makeCommand("detailed-progress", detailProgress) +
|
||||
s" &" lineStream
|
||||
|
||||
ret.foreach(println(_))
|
||||
}
|
||||
|
||||
def makeCommand (commandPrefix : String, comm : String) : String = {
|
||||
if (comm == "default") ""
|
||||
else "--" + commandPrefix + " " + comm
|
||||
}
|
||||
|
||||
def makeCommand (commandPrefix : String, comm1 : String, comm2 : String): String = {
|
||||
"--" + commandPrefix + " " + comm1 + " " + comm2
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in New Issue