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Scala test
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import org.apache.spark.sql.SparkSession | |
import org.apache.spark.sql.functions.{col, regexp_replace, substring_index, udf} | |
def time[R](block: => R): R = { | |
val t0 = System.currentTimeMillis() | |
val result = block | |
val t1 = System.currentTimeMillis() | |
println("Elapsed time: " + (t1 - t0) + "ms") | |
result | |
} | |
val spark: SparkSession = SparkSession | |
.builder() | |
.master("local") | |
.getOrCreate() | |
import spark.implicits._ | |
// DataFrame. | |
val df = (1 to 100000) | |
.map(x => if (x % 2 == 0) "www.domain.com" else "domain.com:443") | |
.toDF("domain_name") | |
// Test 1. | |
val df1 = df | |
.withColumn("domain_name2", regexp_replace(col("domain_name"), "^www\\.", "")) | |
.withColumn("domain_name2", substring_index(col("domain_name2"), ":", 1)) | |
// Test 2. | |
val func = (s: String) => { | |
val start = if (s.startsWith("www.")) 4 else 0 | |
val end: Int = s.indexOf(":") | |
if (end == -1) s.substring(start) | |
else s.substring(start, end) | |
} | |
val udfWWW = udf(func) | |
val df2 = df | |
.withColumn("domain_name2", udfWWW(col("domain_name"))) | |
// Run tests. | |
// Elapsed time: 2695ms. | |
time { | |
df1.count | |
} | |
// Elapsed time: 834ms. | |
time { | |
df2.count | |
} |
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