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https://stackoverflow.com/questions/44174747/spark-dataframe-collect-vs-select
Spark dataframe: collect () vs select ()
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68edited May 25, 2017 at 8:04
Actions vs Transformations
Collect (Action) - Return all the elements of the dataset as an array at the driver program. This is usually useful after a filter or other operation that returns a sufficiently small subset of the data.
spark-sql doc
select...

df.select('*').collect()
[Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
df.select('name', 'age').collect()
[Row(name=u'Alice', age=2), Row(name=u'Bob', age=5)]
df.select(df.name, (df.age + 10).alias('age')).collect()
[Row(name=u'Alice', age=12), Row(name=u'Bob', age=15)]
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Spark dataframe: collect () vs select () - Stack Overflow
WEBMay 25, 2017 · Collect (Action) - Return all the elements of the dataset as an array at the driver program. This is usually useful after a filter or other operation that returns a …
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Collect vs Select Pyspark
Actions vs Transformations. Collect (Action) - Return all the elements of the dataset as an array at the driver program. This is usually useful af...
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calling select will result is lazy evaluation: for example: val df1 = df.select("col1") val df2 = df1.filter("col1 == 3"). both above statements...
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Select is used for projecting some or all fields of a dataframe. It won't give you an value as an output but a new dataframe. Its a transformation.
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Select is a transformation, not an action, so it is lazily evaluated (won't actually do the calculations just map the operations). Collect is an ac...
4
To answer the questions directly: Will collect() behave the same way if called on a dataframe? Yes, spark.DataFrame.collect is functionally the s...
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Short answer in bolds: collect is mainly to serialize. (loss of parallelism preserving all other data characteristics of the dataframe). For exa...
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What is the difference between collect and collectasmap?In particular, the current implementation inserts the key-value pairs into the resultant map in order and thus only the last two pairs survive in each of your two examples. If you use collect instead, it will return Array [ (Int,Int)] without losing any of your pairs. collectAsMap will return the results for paired RDD as Map collection.
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What is the difference between collect and select?Here's my own description: collect is the opposite of sc.parallelize. select is the same as the SELECT in any SQL statement. If you are still having trouble understanding what collect actually does (for either RDD or DataFrame), then you need to look up some articles about what spark is doing behind the scenes. e.g.:
Spark dataframe: collect () vs select () - Stack Overflow
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What is the difference between compute() and collect() in SQL Server?compute() executes the query and stores the results in a temporary table in the database. collapse() turns the query into a table expression. collect() is the function you’ll use most. Once you reach the set of operations you want, you use collect() to pull the data into a local tbl_df ().
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What is a collection function?Collect is an aggregation function, so it aggregates values, but not by counting or summing them but by collecting them into a list per grouping keys. Collections return the entities in an array, instead of an individual "row" for each result. The benefit of this is, for example: I want to get all addresses associated to a contact.
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