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Quick Understanding of NoSQL

         Edward J. Yoon
           @ Oracle
Agenda
• Why Big Data solutions are appeared?
  – What was problem?
• What’s HBase?
• NoSQLs Trends
  – NoSQLs Comparison
Managing user profiles

 User-ID, …
Managing user profiles

…    User-ID, …




                  …

…        …
Managing user profiles

…    User-ID, …




                       …

…        …




                     Let’s assume that,
      Most million+ users are login between 9 ~ 10 AM.

       And, I wanna update their last logged in time.
Managing user profiles

…
                          !   1~3 millions records .
     User-ID, …
                      Max connections, Hardware limit,
                       Query performance on, …., etc.
                  …

…        …
Managing user profiles

…
                                 !   1~3 millions records .
        User-ID, …
                           Max connections, Hardware limit,
                            Query performance on, …., etc.
                       …

…           …
                                              …        User-ID, …




                                                                    …

         Solution!?                           …               …
Manual Range/Hash Partitioning
Managing user profiles

…
                                 !   1~3 millions records .
        User-ID, …
                           Max connections, Hardware limit,
                            Query performance on, …., etc.
                       …
          What happens, if scheme should be changed or,
…         …         need to increase nodes?
                                              …        User-ID, …




                                                                    …

         Solution!?                           …               …
Manual Range/Hash Partitioning
NoSQL
• Scheme-free
• Horizontal Scalability
  – Distributed Storage
• Distributed computing e.g., M/R
• Connection Pool
NoSQLs trends
Comparison
                                                      Cassandra (V1.2)
MongoDB (V2.2)

•   Written in: C++                                   •   Written in Java
•   License: AGPL                                     •   License: Apache
•   Support Languages: All                            •   Support Languages: All
•   Architecture: Master/slave, JSON                  •   Architecture: Master/slave, Columnar
•   Queries: javascript expressions, MapReduce
•   Known issues: None                                •   Queries: Hive (MapReduce)
•   Suitable for: Online applications                 •   BigTable clone
                                                      •   Suitable for: Ad-hoc Analytics, Column scanning
HBase (V0.92.0)
                                                      Oracle NoSQL
•   Written in: Java
•   License: Apache
•   Support Languages: All                            •   Written in: Java
•   Architecture: Master/slave, Columnar              •   Support Languages: Java
•   Queries: Hive (MapReduce)                         •   Architecture: Master/slave, ACID
•   BigTable clone                                    •   Suitable for: Online applications
•   Suitable for: Ad-hoc Analytics, Column scanning
                                                           •     Synchronous Replication

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  • 1. Quick Understanding of NoSQL Edward J. Yoon @ Oracle
  • 2. Agenda • Why Big Data solutions are appeared? – What was problem? • What’s HBase? • NoSQLs Trends – NoSQLs Comparison
  • 3. Managing user profiles User-ID, …
  • 4. Managing user profiles … User-ID, … … … …
  • 5. Managing user profiles … User-ID, … … … … Let’s assume that, Most million+ users are login between 9 ~ 10 AM. And, I wanna update their last logged in time.
  • 6. Managing user profiles … ! 1~3 millions records . User-ID, … Max connections, Hardware limit, Query performance on, …., etc. … … …
  • 7. Managing user profiles … ! 1~3 millions records . User-ID, … Max connections, Hardware limit, Query performance on, …., etc. … … … … User-ID, … … Solution!? … … Manual Range/Hash Partitioning
  • 8. Managing user profiles … ! 1~3 millions records . User-ID, … Max connections, Hardware limit, Query performance on, …., etc. … What happens, if scheme should be changed or, … … need to increase nodes? … User-ID, … … Solution!? … … Manual Range/Hash Partitioning
  • 9. NoSQL • Scheme-free • Horizontal Scalability – Distributed Storage • Distributed computing e.g., M/R • Connection Pool
  • 11. Comparison Cassandra (V1.2) MongoDB (V2.2) • Written in: C++ • Written in Java • License: AGPL • License: Apache • Support Languages: All • Support Languages: All • Architecture: Master/slave, JSON • Architecture: Master/slave, Columnar • Queries: javascript expressions, MapReduce • Known issues: None • Queries: Hive (MapReduce) • Suitable for: Online applications • BigTable clone • Suitable for: Ad-hoc Analytics, Column scanning HBase (V0.92.0) Oracle NoSQL • Written in: Java • License: Apache • Support Languages: All • Written in: Java • Architecture: Master/slave, Columnar • Support Languages: Java • Queries: Hive (MapReduce) • Architecture: Master/slave, ACID • BigTable clone • Suitable for: Online applications • Suitable for: Ad-hoc Analytics, Column scanning • Synchronous Replication