com.github.edge.roman.spear.commons.SpearCommons.scala Maven / Gradle / Ivy
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Rapid ETL-connectors/pipeline development with minimal code leveraged on top of Apache Spark
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package com.github.edge.roman.spear.commons
object SpearCommons {
val InvalidParams = "provided source and destination details are not supported by spear!!"
val FileUploadSuccess = "File upload successful"
val CustomSchema = "customSchema"
val Path = "path"
val SuccessStatus = "success"
val FailedStatus = "failed"
val Default = "Default-spear-connector"
val Relational = "relational"
val File = "file"
val FileSystem = "FS"
val Stream = "stream"
val SalesforceFormat = "com.springml.spark.salesforce"
val FTP = "ftp"
val AWS = "aws"
val SMB = "smb"
val GCS = "gcs"
val ADLS = "adls"
val HDFS = "hdfs"
val LOCAL = "local"
val Username = "username"
val Password = "password"
val ShowNumRows = 10
val NoSql = "nosql"
val Parquet = "parquet"
val Avro = "avro"
val Jdbc ="jdbc"
val Mongo="mongo"
val Cassandra="cassandra"
val Nosql="nosql"
val PartitionCols="partition_columns"
val BucketCols="bucket_columns"
val Star="*"
val Graph="graph"
val NumBuckets="num_buckets"
val AppName="spark.app.name"
val DefaultFSPath=""
val EmptyTable=""
}
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