小编tra*_*cer的帖子

我使用spark-csv将数据加载到DataFrame中.我想做一个简单的查询并显示内容:

val df = sqlContext.read.format("com.databricks.spark.csv").option("header", "true").load("my.csv")
df.registerTempTable("tasks")
results = sqlContext.sql("select col from tasks");
results.show()

col似乎被截断了:

scala> results.show();
+--------------------+
|                 col|
+--------------------+
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:15:...|
|2015-11-06 07:15:...|
|2015-11-16 07:15:...|
|2015-11-16 07:21:...|
|2015-11-16 07:21:...|
|2015-11-16 07:21:...|
+--------------------+

如何显示列的完整内容？

考虑以下程序:

import java.util.List;
import java.util.ArrayList;

public class TypeTest {

    public static class TypeTestA extends TypeTest {

    }

    public static class TypeTestB extends TypeTest {

    }

    public static final class Printer {
        public void print(TypeTest t) {
            System.out.println("T");
        }

        public void print(TypeTestA t) {
            System.out.println("A");
        }

        public void print(TypeTestB t) {
            System.out.println("B");
        }

        public <T extends TypeTest> void print(List<T> t) {
            for (T tt : t) {
                print(normalize(tt.getClass(), tt));
            }
        }

        private static <T> T normalize(Class<T> clz, Object o) {
            return …