StructType & StructField | Create DataFrame | Nested Schema|Spark Interview question| Spark tutorial

Veröffentlicht am: 17 Juni 2019
auf dem Kanal: Manna Prasad
7,936
117

We are making a complete collection of 2019 Spark interview questions and Apache Spark tutorial.This video is an addition to the collection. In this video we talk about Apache Spark StructType and StructField.

StructType is a built in data type and useful for creating customzed schema,nested schema and eliminaring order dependencies in dataframe transformation.

Struct is the field in StructType with parameters
Name
Data Type
Nullable flag
Metadata.

In this video we talk about below points:

StructType

StructField

Add structfields to StructType
a) by passing seq of StructField and b) using various add methods, c) From existing StructType

Compare two schemas

Create dataframe with own customized schema

Create nested schema

Flatten nested schema.

toDF() vs createDataFrame() :    • Spark Interview Questions and Answers...  

About channel
---------------------
We are trying to make video series on technical interview questions on various skills for experienced and freshers. This is based on the industry experience. We are trying to compile all the

possible questions with answers and give you the core concepts of the topic.

We will present a series on tutorial on various skill sets as well. Our first tutorial will be on Apache Spark and we will present it soon.

Our aim is to make a difference in your learning.

Please subscribe to our channel and stay connected.

Thank you so much.

e-mail:- mannabunty3@gmail.com


Our video links
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Spark StructType & StructField:    • StructType & StructField | Create Dat...  

Spark application's life cycle - 2 :    • Spark Execution Flow - 2 |Spark Sessi...  
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Spark application's life cycle - 1 :    • Video  
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Parquet with Spark :    • Apache Parquet and Apache Spark | Spa...  
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Type safety in Dataframe vs Dataset - Part 2 :    • Type Safety in Dataset vs Dataframe (...  
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Type safety in Dataframe vs Dataset - Part 1 :    • Type Safety in Dataset vs Dataframe (...  
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Broadcast variable example :    • Broadcast variable example | Spark In...  
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Broadcast variable vs Normal variable :    • Broadcast variable in Spark |Shared v...  
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RDD vs Dataframe vs Dataset :    • RDD vs Dataframe vs Dataset | Spark I...  
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toDF() vs createDataFrame() :    • Spark Interview Questions and Answers...  
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User defined function Part -1 :    • UDF ( Part 1) |  User defined functio...  
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User defined function Part - 2 :    • UDF (Part 2) | user defined function ...  
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Dataframe :    • What is Dataframe | Dataframe API | S...  
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What is Apache Spark :    • What is Spark | Spark interview quest...  
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