The only way to do this for SQL is though the JDBC driver. However, you can use literal values without lossy/unsafe string conversions by using the DataFrame API. For example, to filter:
import org.apache.spark.sql.functions._ df.filter($"columnName" === lit(value)) On Sun, Dec 27, 2015 at 1:11 PM, Ajaxx <ajack...@pobox.com> wrote: > Given a SQLContext (or HiveContext) is it possible to pass in parameters > to a > query. There are several reasons why this makes sense, including loss of > data type during conversion to string, SQL injection, etc. > > But currently, it appears that SQLContext.sql() only takes a single > parameter which is a string. > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Passing-parameters-to-spark-SQL-tp25806.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
