SPARK-2686 Add Length and Strlen support to Spark SQL

Syntactic, parsing, and operational support have been added for LEN(GTH) and STRLEN functions.
Examples:
SQL:
import org.apache.spark.sql._
case class TestData(key: Int, value: String)
val sqlc = new SQLContext(sc)
import sqlc._
val testData: SchemaRDD = sqlc.sparkContext.parallelize(
(1 to 100).map(i => TestData(i, i.toString)))
testData.registerAsTable("testData")
sqlc.sql("select length(key) as key_len from testData order by key_len desc limit 5").collect
res12: Array[org.apache.spark.sql.Row] = Array([3], [2], [2], [2], [2])
HQL:
val hc = new org.apache.spark.sql.hive.HiveContext(sc)
import hc._
hc.hql
hql("select length(grp) from simplex").collect
res14: Array[org.apache.spark.sql.Row] = Array([6], [6], [6], [6])
As far as codebase changes: they have been purposefully made similar to the ones made for for adding SUBSTR(ING) from July 17:
SQLParser, Optimizer, Expression, stringOperations, and HiveQL were the main classes changed. The testing suites affected are ConstantFolding and ExpressionEvaluation.

Sounds good to me. Then it is clear: UnsupportedEncodingException should be thrown- it is not data (row-by-row) dependent.

However the first one (non-string value) IS data dependent so we would return null for that row.