[Lunar-commits] <moonbase> mongodb: Version bump. The patches fail to apply, removing.

Dennis `stumbles` Veatch stumbles at lunar-linux.org
Mon Mar 21 12:21:45 CET 2011


commit 2da53819e12a4d02e63bcf6e05b703058747d377
Author: Dennis `stumbles` Veatch <stumbles at lunar-linux.org>
Date:   Mon Mar 21 07:21:45 2011 -0400

    mongodb: Version bump. The patches fail to apply, removing.
---
 sql/mongodb/BUILD   |    3 ---
 sql/mongodb/DETAILS |   10 ++++------
 2 files changed, 4 insertions(+), 9 deletions(-)

diff --git a/sql/mongodb/BUILD b/sql/mongodb/BUILD
index cedb3ef..563f545 100644
--- a/sql/mongodb/BUILD
+++ b/sql/mongodb/BUILD
@@ -1,9 +1,6 @@
 (
   add_priv_user mongodb:mongodb -d /var/lib/mongodb  &&
 
-  patch_it $SOURCE2 1 &&
-  patch_it $SOURCE3 1 &&
-
   scons all &&
   prepare_install &&
   scons --full --nostrip install --prefix=/usr &&
diff --git a/sql/mongodb/DETAILS b/sql/mongodb/DETAILS
index 8a4920a..e4ccb12 100644
--- a/sql/mongodb/DETAILS
+++ b/sql/mongodb/DETAILS
@@ -1,20 +1,18 @@
           MODULE=mongodb
-         VERSION=r1.6.5
+         VERSION=r1.8.0
           SOURCE=$MODULE-src-$VERSION.tar.gz
-         SOURCE2=$MODULE-1.6.0-fix-scons.patch
-         SOURCE3=$MODULE-1.6.5-correct_version_number.patch
       SOURCE_URL=http://downloads.mongodb.org/src
      SOURCE2_URL=$PATCH_URL
      SOURCE3_URL=$PATCH_URL
 SOURCE_DIRECTORY=$BUILD_DIRECTORY/$MODULE-src-$VERSION
-      SOURCE_VFY=sha256:5feac5302be91eea758851d28e4ad09ff4d11a28ffcb61e792ab7aeb5327a8a0
+      SOURCE_VFY=sha256:4c2992e49586d4b4a513937286fd8813f4cef44686e67275c4e96489e4456a96
      SOURCE2_VFY=sha256:de26882ff9adcf46eb2227e185f7d880549333f0e87703cdf984cd1c4612ffd9
      SOURCE3_VFY=sha256:84da5d6216a2b462420cf04fdb15c8fd7cb82222f50a33c5020679a04c514aa6
         WEB_SITE="http://www.mongodb.org/"
          ENTERED=20101205
-         UPDATED=20110312
+         UPDATED=20110321
            SHORT="A scalable, high-performance, key-value store, document-oriented database"
-cat <<EOF
+cat << EOF
 MongoDB bridges the gap between key-value stores (which are fast and
 highly scalable) and traditional RDBMS systems (which provide rich
 queries and deep functionality).


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