The ChunkedSet stores its elements in Chunks of size k. It behaves as a set and contains only unique values in all chunks combined.

• Description
• Features
• Requirements
• Usage

The implementation works efficiently for any number of chunks.

ChunkedSet is implemented with 3 hash_tables. Each of which helps make it behave as a set of sets.

  Data_table -
      hash_table1 : key   :  datapoint
                    value :  (chunk, slots)
  Slot_table -
      hash_table2 : key   :  slots
                    value :  [list of chunks]
  Node_table -
      hash_table3 : key   :  chunks
                    value :  datapoints in tuple

• Join : When a new chunk joins the ChunkedSet, all the duplicate values are deleted
• Leave : When a chunk leaves the ChunkedSet, all the values are migrated to the available slots in the rest of the chunks

• flask

• Clone the repo

  git clone https://github.com/anaswaratrajan/Chunkedset.git

• Enter directory chunkedset

  cd chunked set

• Install requirements

  pip install -r requirements.txt

• Run the app

  flask run

• Set data to chunk - POST

curl --header "Content-Type: application/json" \
  --request POST \
  --data '{"chunk":1,"data":[1,2,3,4,5]}' \
  http://127.0.0.1:5000/chunk1/setdata

• Send join request to server - GET

  http://127.0.0.1:5000/chunk1/join

• Send leave request to server - GET

  http://127.0.0.1:5000/chunk1/leave

• Check server for updates

  http://127.0.0.1:5000/server

Similar for other chunks ( chunk2, chunk3)