X-Git-Url: http://git.rot13.org/?a=blobdiff_plain;f=README;h=14d7b0e48adcf346e0d52d1b3c67ca47814e40f5;hb=c81ec6ac02c496e12402d1e0999aac1912abaddb;hp=b2da9d11362572690c8a1010fd311a568139900b;hpb=df6d068ffdddf496ce775f4b0417743da886c39e;p=MojoFacets.git

diff --git a/README b/README
index b2da9d1..14d7b0e 100644
--- a/README
+++ b/README
@@ -18,31 +18,39 @@ Start with:
     LANG=hr_HR.utf8 ./script/mojo_facets daemon --reload
 
 
-Data replication:
-
-    # master
-    ./script/mojo_facets daemon --listen 'http://*:4444' --reload
+Changing tabular data:
 
-    # slave
-    MASTER=http://localhost:4444 ./script/mojo_facets daemon --reload
+Just double click on any table cell and click outside or focus out to save change.
 
 
-Turning actions into changes:
+Data action and changes:
 
 There are two kinds of audit log in MojoFacets:
 
-1. actions stored in /tmp/actions are clicks on user interface with parameters
+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
+
+Changes can be applied on any dataset currently in memory.
 
-2. changes are more structured, including old value and unique values from
-   edit of one value in dataset
+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.
 
-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:
 
-    $ ./script/actions-to-changes /data/mojo_facets/*
+Data replication:
+
+Actions can be replicated to other hosts using MASTER enviroment variable
+or config menu
+
+    # 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.
@@ -50,6 +58,10 @@ element from your dataset.
 If you want to create or update values, you will have to use $update hash to set
 new values.
 
+If you want to report something from your dataset (also called reduce in map/reduce
+terminology) you can use $out hash to store values which will be used to generate
+new dataset using $key and $value for column names.
+
 All values are repetable, but if you create just a scalar, magic(tm) inside MojoFacets
 will try to upgrade it to [ $scalar ] so you don't have to do it explicitly.