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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()
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:...|
+--------------------+
How do I show the full content of the column?
805
The only way to show the full column content we are using show() function. show(): Function is used to show the Dataframe. n: Number of rows to display. truncate: Through this parameter we can tell the Output sink to display the full column content by setting truncate option to false, by default this value is true.
Spark show() – Display DataFrame Contents in Table. Spark/PySpark DataFrame show() is used to display the contents of the DataFrame in a Table Row & Column Format. By default it shows only 20 Rows and the column values are truncated at 20 characters.
You can get the all columns of a Spark DataFrame by using df. columns , it returns an array of column names as Array[Stirng] .
You can find all column names & data types (DataType) of PySpark DataFrame by using df. dtypes and df. schema and you can also retrieve the data type of a specific column name using df. schema["name"].
results.show(20, false) will not truncate. Check the source
20 is the default number of rows displayed when show() is called without any arguments.
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