Created
April 11, 2017 13:23
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Spark job that crawls database and joins fields into Field String array instead of extra Solr documents
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val jdbcUrl = "jdbc:sqlserver://SERVER_IP;user=USERNAME;password=PASSWORD" | |
val maxId = sqlContext.jdbc(jdbcUrl, "(select max(Person_Number) as maxId from [Export].[dbo].[Person]) as tmp").select("maxId").collect()(0)(0).toString | |
val dbOpts = Map( | |
"url" -> jdbcUrl, | |
"dbtable" -> "[Export].[dbo].[Person]", | |
"partitionColumn" -> "Person_Number", | |
"numPartitions" -> "4", | |
"lowerBound" -> "0", | |
"upperBound" -> maxId, | |
"fetchSize" -> "1000" | |
) | |
var jdbcDF = sqlContext.read.format("jdbc").options(dbOpts).load | |
jdbcDF.registerTempTable("Person") | |
val maxId2 = sqlContext.jdbc(jdbcUrl, "(select max(Person_Number) as maxId from [Export].[dbo].[Person_Telephone]) as tmp").select("maxId").collect()(0)(0).toString | |
val dbOpts2 = Map( | |
"url" -> jdbcUrl, | |
"dbtable" -> "[Export].[dbo].[Person_Telephone]", | |
"partitionColumn" -> "Person_Number", | |
"numPartitions" -> "4", | |
"lowerBound" -> "0", | |
"upperBound" -> maxId2, | |
"fetchSize" -> "1000" | |
) | |
var jdbcDF2 = sqlContext.read.format("jdbc").options(dbOpts2).load | |
val maxId3 = sqlContext.jdbc(jdbcUrl, "(select max(Person_Number) as maxId from [Export].[dbo].[Person_Resume]) as tmp").select("maxId").collect()(0)(0).toString | |
val dbOpts3 = Map( | |
"url" -> jdbcUrl, | |
"dbtable" -> "[Export].[dbo].[Person_Resume]", | |
"partitionColumn" -> "Person_Number", | |
"numPartitions" -> "10", | |
"lowerBound" -> "0", | |
"upperBound" -> maxId3, | |
"fetchSize" -> "100" | |
) | |
var jdbcDF3 = sqlContext.read.format("jdbc").options(dbOpts3).load | |
var joinDF = jdbcDF.join(jdbcDF2.select("Person_Number", "Telephone_Number"), Seq("Person_Number"), "left_outer") | |
joinDF = joinDF.join(jdbcDF3.select("Person_Number", "Resume"), Seq("Person_Number"), "left_outer") | |
var joinDFPhone = joinDF.groupBy("Person_Number").agg(collect_set("Telephone_Number")) | |
var joinDFResume = joinDF.groupBy("Person_Number").agg(collect_set("Resume")) | |
var res = joinDFPhone.join(joinDFResume, Seq("Person_Number"), "left") | |
res.withColumnRenamed("collect_set(Telephone_Number)", "Telephone_Number_ss").withColumnRenamed("Person_Number", "id").withColumnRenamed("collect_set(Resume)", "Resume_txt").write.format("solr").option("collection", "default").save |
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