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About DSE architecture
DataStax Enterprise 6.7 FAQ
Database architecture
Component architecture
Database internals
CQL

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DSE 6.7 Architecture Guide (EOSL)

About DSE architecture
Information for developers and administrators on how the DataStax Enterprise database works.
DataStax Enterprise 6.7 FAQ
Frequently asked questions about DataStax Enterprise.
Database architecture
Important information for understanding how the DataStax Enterprise database works.
Component architecture
Important information for understanding how DSE Analytics, DSE search, and DSE Graph work.
Database internals
Information about the DataStax Enterprise database.
- Storage engine
  About the DataStax Enterprise storage structure and engine.
- About reads and writes
  Understanding how the DataStax Enterprise database stores data.
- Data consistency
  Topics about how up-to-date and synchronized a row of data is on all replicas.
  - Read and write consistency
    An introduction to how DataStax Enterprise extends eventual consistency with tunable consistency to vary the consistency of data read and written.
  - Differences between DSE and RDBMS transactions
    DataStax Enterprise (DSE) does not use RDBMS ACID transactions; instead DSE offers atomic, isolated, and durable transactions with eventual/tunable consistency.
  - Using lightweight transactions
    When and why to use lightweight transactions.
  - Consistency level performance
    Use tracing to discover what the consistency level is set to, and how it affects performance.
  - Consistency level configuration
    Consistency levels in DataStax Enterprise can be configured to manage availability versus data accuracy.
  - Configuring serial consistency
    Serial consistency levels in DataStax Enterprise control lightweight transaction (LWT) isolation.
  - Read requests
    A coordinator node can send three types of read requests to a replica.
  - Write requests
    The write consistency level determines how many replica nodes must respond with a success acknowledgment in order for the write to be considered successful
CQL
CQL (Cassandra Query Language) is a query language for the DataStax Enterprise database.

Data consistency

Topics about how up-to-date and synchronized a row of data is on all replicas.

How are consistent read and write operations handled?
An introduction to how DataStax Enterprise extends eventual consistency with tunable consistency to vary the consistency of data read and written.
How do DataStax Enterprise transactions differ from RDBMS transactions?
DataStax Enterprise (DSE) does not use RDBMS ACID transactions; instead DSE offers atomic, isolated, and durable transactions with eventual/tunable consistency.
How do I accomplish lightweight transactions with linearizable consistency?
When and why to use lightweight transactions.
How do I discover consistency level performance?
Use tracing to discover what the consistency level is set to, and how it affects performance.
How is the consistency level configured?
Consistency levels in DataStax Enterprise can be configured to manage availability versus data accuracy.
How is the serial consistency level configured?
Serial consistency levels in DataStax Enterprise control lightweight transaction (LWT) isolation.
How are read requests accomplished?
A coordinator node can send three types of read requests to a replica.
How are write requests accomplished?
The write consistency level determines how many replica nodes must respond with a success acknowledgment in order for the write to be considered successful

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