try to better explain actions and changes

diff --git a/README b/README
index b2da9d1..60e9b98 100644 (file)
--- a/README
+++ b/README
@@ -18,31 +18,34 @@ Start with:
     LANG=hr_HR.utf8 ./script/mojo_facets daemon --reload
 
 
-Data replication:
+Data action and changes:
 
-    # master
-    ./script/mojo_facets daemon --listen 'http://*:4444' --reload
+There are two kinds of audit log in MojoFacets:
 
-    # slave
-    MASTER=http://localhost:4444 ./script/mojo_facets daemon --reload
+1. actions stored in /tmp/actions are clicks on user interface with parameters,
+   they will probably be erased on next reboot since they are in /tmp
 
+2. changes in data/database.changes are more structured, including old value
+   and unique identifiers for that row
 
-Turning actions into changes:
+Changes can be applied on any dataset currently in memory.
 
-There are two kinds of audit log in MojoFacets:
+Whole idea of changes is to create audit log which is detailed enough to recostruct
+current state of dataset from source file and list of changes. However, to speed
+up operations, you can periodically save your in-memory data to /tmp/ in perl
+storeable format using save link in interface.
 
-1. actions stored in /tmp/actions are clicks on user interface with parameters
 
-2. changes are more structured, including old value and unique values from
-   edit of one value in dataset
+Data replication:
 
-If you want to create changes which can be applied again on original dataset or
-any other dataset which has same unique values you can use helper script:
+Actions can be replicated to other hosts using MASTER enviroment variable
+or config menu
 
-    $ ./script/actions-to-changes /data/mojo_facets/*
+    # slave
+    MASTER=http://localhost:4444 ./script/mojo_facets daemon --reload
 
 
-Modify your data using perl snippets:
+Code console to modify data using perl snippets:
 
 Experimental REPL console supports perl snippets which get $row hash which is one
 element from your dataset.