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package parallelai.spyglass.jdbc.example
import org.scalatest.junit.JUnitRunner
import org.junit.runner.RunWith
import org.scalatest.FunSpec
import com.twitter.scalding.{Tsv, JobTest, TupleConversions}
import org.slf4j.LoggerFactory
import cascading.tuple.{Tuple, Fields}
import parallelai.spyglass.jdbc.JDBCSource
/**
* Simple example of JDBCSource testing
*/
@RunWith(classOf[JUnitRunner])
class JdbcSourceExampleTest extends FunSpec with TupleConversions {
val output = "src/test/resources/outputs/testOutput"
val log = LoggerFactory.getLogger(this.getClass.getName)
val sampleData = List(
(1, "c11", "c12", 11),
(2, "c21", "c22", 22)
)
JobTest("parallelai.spyglass.jdbc.example.JdbcSourceExample")
.arg("test", "")
.arg("app.conf.path", "app.conf")
.arg("output", output)
.arg("debug", "true")
.source(
new JDBCSource(
"db_name",
"com.mysql.jdbc.Driver",
"jdbc:mysql://<hostname>:<port>/<db_name>?zeroDateTimeBehavior=convertToNull",
"user",
"password",
List("KEY_ID", "COL1", "COL2", "COL3"),
List("bigint(20)", "varchar(45)", "varchar(45)", "bigint(20)"),
List("key_id"),
new Fields("key_id", "col1", "col2", "col3")), sampleData)
.sink[Tuple](Tsv(output.format("get_list"))) {
outputBuffer =>
log.debug("Output => " + outputBuffer)
it("should return the mock data provided.") {
assert(outputBuffer.size === 2)
}
}
.run
.finish
}
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