Pycassa

pycassa is a client library for Apache Cassandra.{{cite web

| accessdate = 2011-03-18

| publisher = github

| title = pycassa

| url = https://github.com/pycassa/pycassa#readme}}

It is a Python client library having following features:

Auto-failover for normal or thread-local connections
Batch interface
Connection pooling
Method to map an existing class to a Cassandra column family

Like Apache Cassandra, pycassa is open-source.

Code example

The following code adds the user name with the corresponding password to the column families (pycassa.ColumnFamily) USER and USERNAME:{{cite web

| accessdate = 2011-03-18

| publisher = Rackspace

| title = Cassandra By Example: Tying it all together

| url = http://www.rackspace.com/cloud/blog/2010/05/12/cassandra-by-example/

| archive-url = https://web.archive.org/web/20110221171842/http://www.rackspace.com/cloud/blog/2010/05/12/cassandra-by-example/

| archive-date = 2011-02-21

| url-status = dead

}}

username = "jericevans"

password = "**********"

useruuid = str(uuid())

columns = {"id": useruuid, "username": username, "password": password}

USER.insert(useruuid, columns)

USERNAME.insert(username, {"id": useruuid})

References

{{cite book |last1=Tiwari |first1=Shashank |title=Professional NoSQL |date=31 August 2011 |publisher=John Wiley & Sons |isbn=978-1-118-16780-9 |page=172 |url=https://www.google.com/books/edition/Professional_NoSQL/tv5iO9MnObUC?hl=en&gbpv=0 |access-date=10 May 2025 |language=en}}

{{cite journal |last1=Ramakrishnan |first1=Lavanya |last2=Mantha |first2=Pradeep K. |last3=Yao |first3=Yushu |last4=Canon |first4=Richard S. |title=Evaluation of NoSQL and Array Databases for Scientific Applications |journal=The International Conference for High Performance Computing, Networking, Storage, and Analysis |url=https://sc13.supercomputing.org/sites/default/files/WorkshopsArchive/pdfs/wp162s1.pdf}} Lawrence Berkeley National Lab

External links

[https://pycassa.github.com/pycassa/index.html pycassa 1.0.6 Documentation]

Category:Distributed computing

Category:Articles with example Python (programming language) code