/
StagingParserTest.scala
126 lines (120 loc) · 3.89 KB
/
StagingParserTest.scala
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package com.github.mrpowers.spark.daria.elt
import utest._
import org.apache.spark.sql.functions._
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row
import com.github.mrpowers.spark.fast.tests.DataFrameComparer
import com.github.mrpowers.spark.fast.tests.ColumnComparer
import com.github.mrpowers.spark.daria.sql.SparkSessionExt._
import com.github.mrpowers.spark.daria.sql.DataFrameExt._
import com.github.mrpowers.spark.daria.sql.SparkSessionTestWrapper
object StagingParserTest extends TestSuite with DataFrameComparer with ColumnComparer with SparkSessionTestWrapper {
val tests = Tests {
'parse - {
"parses a DataFrame" - {
val path = new java.io.File("./src/test/resources/zipcodes.txt").getCanonicalPath
val sourceDF = spark.read
.text(path)
.select(struct("*") as 'origin)
val schema = StructType(
Seq(
StructField("zip", StringType, true),
StructField("city", StringType, true),
StructField("state", StringType, true),
StructField("ts", StringType, true)
)
)
val sp = new StagingParser(schema)
val actualDF = sp.parse(sourceDF).drop("origin")
val expectedDF = spark.createDF(
List(
("10506", "Bedford", "NY", "111"),
("95053", "Santa Clara", "CA", "222"),
("86001", "Flagstaff", "AZ", "333"),
(null, null, null, "666")
),
List(
("zip", StringType, true),
("city", StringType, true),
("state", StringType, true),
("ts", StringType, true)
)
)
assertSmallDataFrameEquality(
actualDF,
expectedDF
)
}
}
'setParseDetails - {
"parses a DataFrame" - {
val path = new java.io.File("./src/test/resources/zipcodes.txt").getCanonicalPath
val sourceDF = spark.read
.text(path)
.select(struct("*") as 'origin)
val schema = StructType(
Seq(
StructField("zip", StringType, true),
StructField("city", StringType, true),
StructField("state", StringType, true),
StructField("ts", StringType, true)
)
)
val sp = new StagingParser(schema)
val parsedDF = sp.parse(sourceDF)
val actualDF = sp
.setParseDetails(parsedDF)
.flattenSchema("-")
.select("zip", "parse_details-status")
val expectedDF = spark.createDF(
List(
("10506", "OK"),
("95053", "OK"),
("86001", "OK"),
(null, "NOT_VALID")
),
List(
("zip", StringType, true),
("parse_details-status", StringType, false)
)
)
assertSmallDataFrameEquality(
actualDF,
expectedDF
)
}
}
'apply - {
"parses a DataFrame" - {
val path = new java.io.File("./src/test/resources/zipcodes.txt").getCanonicalPath
val sourceDF = spark.read.text(path)
val schema = StructType(
Seq(
StructField("zip", StringType, true),
StructField("city", StringType, true),
StructField("state", StringType, true),
StructField("ts", StringType, true)
)
)
val sp = new StagingParser(schema)
val actualDF = sp.apply(sourceDF).flattenSchema("-").select("ts", "parse_details-status")
val expectedDF = spark.createDF(
List(
("111", "OK"),
("222", "OK"),
("333", "OK"),
("666", "NOT_VALID")
),
List(
("ts", StringType, true),
("parse_details-status", StringType, false)
)
)
assertSmallDataFrameEquality(
actualDF,
expectedDF
)
}
}
}
}