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  == The Local Coordinator ==
  The local coordinator receives the write request from the client and performs 
the following:
-   1.  The local coordinator determines which nodes are responsible for 
storing the data:
+   1. The local coordinator determines which nodes are responsible for storing 
the data:
- *     The first replica is chosen based on the Partitioner hashing the 
primary key
+     * The first replica is chosen based on the Partitioner hashing the 
primary key
- *     Other replicas are chosen based on replication strategy defined for the 
keyspace
+     * Other replicas are chosen based on replication strategy defined for the 
keyspace
-   2.  The write request is then sent to all replica nodes simultaneously.
+   1. The write request is then sent to all replica nodes simultaneously.
-   3.  The total number of nodes receiving the write request is determined by 
the replication factor for the keyspace.
+   1. The total number of nodes receiving the write request is determined by 
the replication factor for the keyspace.
  
- == Replica Nodes ==
- Replica nodes receive the write request from the local coordinator and 
perform the following:
- 1.    Write data to the Commit Log. This is a sequential, memory-mapped log 
file, on disk, that can be used to rebuild MemTables if a crash occurs before 
the MemTable is flushed to disk.
- 2.    Write data to the MemTable. MemTables are mutable, in-memory tables 
that are read/write. Each physical table on each replica node has an associated 
MemTable.
- 3.    If the write request is a DELETE operation (whether a delete of a 
column or a row), a tombstone marker is written to the Commit Log and MemTable 
to indicate the delete.
- 4.    If row caching is used, invalidate the cache for that row. Row cache is 
populated on read only, so it must be invalidated when data for that row is 
written.
- 5.    Acknowledge the write request back to the local coordinator.
- The local coordinator waits for the appropriate number of acknowledgements 
(dependent on the consistency level for this write request) before 
acknowledging back to the client.
- Flushing MemTables
- MemTables are flushed to disk based on various factors, some of which include:
- •     commitlog_total_space_in_mb is exceeded
- •     memtable_total_space_in_mb is exceeded
- •     ‘Nodetool flush’ command is executed
- •     Etc.
- Each flush of a MemTable results in one new, immutable SSTable on disk. After 
the flush an SSTable (Sorted String Table) is read-only. As with the write to 
the Commit Log, the write to the SSTable data file is a sequential write 
operation. An SSTable consists of multiple files, including the following:
- •     Bloom Filter
- •     Index
- •     Compression File (optional)
- •     Statistics File
- •     Data File
- •     Summary
- •     TOC.txt
- Each MemTable flush executes the following steps:
- 1.    Sort the MemTable columns by row key
- 2.    Write the Bloom Filter
- 3.    Write the Index
- 4.    Serialise and write the data to the SSTable Data File
- 5.    Write Compression File (if compression is used)
- 6.    Write Statistics File
- 7.    Purge the written data from the Commit Log
- Unavailable Replica Nodes and Hinted Handoff
- When a local coordinator is unable to send data to a replica node due to the 
replica node being unavailable, the local coordinator stores the data in its 
local system.hints table; this process is known as Hinted Handoff. The data is 
stored for a default period of 3 hours. When the replica node comes back online 
the coordinator node will send the data to the replica node.
- Write Path Advantages
- •     The write path is one of Cassandra’s key strengths: for each write 
request one sequential disk write plus one in-memory write occur, both of which 
are extremely fast.
- •     During a write operation, Cassandra never reads before writing, never 
rewrites data, never deletes data and never performs random I/O.
- 

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