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RDD caching is used for avoiding re-computation of an RDD:
Between different spark applications
In the same spark application if an RDD is being used multiple times
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1 Chapter Overview - Advance Spark Programming
2 Adv Spark Programming - Understanding Persistence
3 Spark Programming - RDD caching is used for avoiding re-computation of an RDD:...
4 Spark Programming - With persistence we can replicate the RDD so that spark...
5 Spark Programming - RDD cachng is basically persisting an RDD into the RAM?...
6 Adv Spark Programming - Persistence StorageLevel
7 Spark Programming - The persist() method accepts an argument which is an object...
8 Spark Programming - StorageLevel does not specify the following configuration?...
9 Spark Programming - Which of the following is not true for MEMORY_AND_DISK_2 storage...
10 Spark Programming - Say, you are creating an RDD rdd1 after a lot...
11 Adv Spark Programming - Data Partitioning
12 Adv Spark Programming - Partitioning HandsOn
13 Adv Spark Programming - Data Partitioning Example
14 Spark Programming - Apache Spark's Data partitioning in RDD is useful if...
15 Spark Programming - Operations that can not benefit from Partitioning?...
16 Spark Programming - Which of the following is not true about Data partitioning?...
17 Spark Programming - We had a key-value RDD having 1 to 10 as...
18 Spark Programming - We had a key-value RDD having 1 to 10 as...
19 Spark Programming - Which of the following is not an example of default...
20 Adv Spark Programming - Custom Partitioner
21 Spark Programming - You can create own partitioner?...
22 Adv Spark Programming - Shared Variables
23 Spark Programming - When we pass a function say f to map or...
24 Spark Programming - If we have some data, which of the following is...
25 Spark Programming - If we have some data of few kilobyte size, which...
26 Adv Spark Programming - Accumulators
27 Spark Programming - Accumulators are used for...
28 Spark Programming - Which of the use-case is not right for accumulator:...
29 Spark Programming - Accumulators will give incorrect results in the cases where:...
30 Adv Spark Programming - Custom Accumulators
31 Adv Spark Programming - Broadcast Variables
32 Spark Programming - Broadcast variables are used because...
33 Spark Programming - To share few bytes data with workers we use:...
34 Adv Spark Programming - Broadcast Variables Example
35 Adv Spark Programming - Key Performance Considerations - Parallelism
36 Spark Programming - If you have an RDD with 1000 records. The function...
37 Adv Spark Programming - Key Performance Considerations - Partitions
38 Spark Programming - If we have a text file of 8GB in HDFS...
39 Spark Programming - If we have 1GB data as an array and we...
40 Spark Programming - Which of the following is not right way of controlling...
41 Adv Spark Programming - Serialization Format
42 Spark Programming - Serialization happens when...
43 Spark Programming - Performance of serializer is important because in Spark the serialization...
44 Spark Programming - Which serializer is slowest?...
45 Adv Spark Programming - Memory Management
46 Spark Programming - How much memory is consumed for loading an RDD?...
47 Spark Programming - Spark reserves 20% of memory to shuffle and agregation buffers....
48 Spark Programming - Spark reserves last 20% of memory to code. What does...
49 Adv Spark Programming - Hardware Provisioning
50 Spark Programming - Which of the following hardware parameters do not matter for...
51 Spark Programming - Spark is able to achieve linear scaling. What does it...
52 Spark Programming - Why the memory beyond 64GB is discouraged?...
53 Adv Spark Programming - Slides
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