如何在Spark Dataframe中显示完整的列内容? [英] How to show full column content in a Spark Dataframe?
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问题描述
我正在使用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:
I am using spark-csv to load data into a DataFrame. I want to do a simple query and display the content:
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:
The col seems truncated:
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:...|
+--------------------+
如何显示列的全部内容?
How do I show the full content of the column?
推荐答案
results.show(20, false)
不会截断.检查
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