ARCHIVE/clio
1
0
Fork 0
mirror of https://github.com/XRPLF/clio.git synced 2025-11-04 11:55:51 +00:00
Code Issues Packages Projects Releases Wiki Activity

remove mentions of postgres from README

Browse Source
This commit is contained in:
CJ Cobb
2022-03-22 15:19:08 -04:00
parent 55668d7daa
commit ee1b08b99c
1 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@@ -3,7 +3,7 @@
# clio
clio is an XRP Ledger API server. clio is optimized for RPC calls, over websocket or JSON-RPC. Validated
historical ledger and transaction data is stored in a more space efficient format,
using up to 4 times less space than rippled. clio can be configured to store data in Postgres, Cassandra or ScyllaDB,
using up to 4 times less space than rippled. clio can be configured to store data in Apache Cassandra or ScyllaDB,
allowing for scalable read throughput. Multiple clio nodes can share
access to the same dataset, allowing for a highly available cluster of clio nodes,
without the need for redundant data storage or computation.
@@ -18,7 +18,7 @@ from which data can be extracted. The rippled node does not need to be running o
## Requirements
1. Access to a Postgres server, Cassandra cluster or ScyllaDB cluster. Can be local or remote.
1. Access to a Cassandra cluster or ScyllaDB cluster. Can be local or remote.
2. Access to one or more rippled nodes. Can be local or remote.
@@ -109,7 +109,7 @@ is fully downloaded, clio only needs to extract the changed data for each ledger
so extraction is much faster and clio can keep up with rippled in real time. Even under
intense load, clio should not lag behind the network, as clio is not processing the data,
and is simply writing to a database. The throughput of clio is dependent on the throughput
of your database, but a standard Postgres, Cassandra or Scylla deployment can handle
of your database, but a standard Cassandra or Scylla deployment can handle
the write load of the XRP Ledger without any trouble. Generally the performance considerations
come on the read side, and depends on the number of RPC requests your clio nodes
are serving. Be aware that very heavy read traffic can impact write throughput. Again, this