(DOCSP-21828) Master branch changed from v3.0 to development branch for v10.0 (#112)

* (DOCSP-20701) Create v10 branch (#84)

* (DOCSP-20565) v10 partitioners (#85)

* (DOCSP-20565) v10 partitioners

* (DOCSP-20566) v10 configuration improvements (#86)

* (DOCSP-20566) v10 configuration improvements

* Revert "(DOCSP-20566) v10 configuration improvements (#86)" (#91)

This reverts commit 5d0440a2989401185f83cf296a37413e5df35c5e.

* Re-merge DOCSP-20566 (#92)

* (DOCSP-20566) v10 configuration improvements

* (DOCSP-21084) Support for pushed filters (#93)

* (DOCSP-21084) Support for pushed filters

* (DOCSP-21713) Subdomain consolidation (#95)

* (DOCSP-21085) Structured streaming  (#90)

* (DOCSP-21714) Highlight v10 connector on landing page (#96)

* (DOCSP-21714) Highlight v10 on landing page

* (DOCSP-21416) Update connector api, version constant, and release notes for v10 (#94)

* (DOCSP-21416) Finalize v10 docs

* (DOCSP-21416-fix) Fix required versions (#98)

* re-add structured streaming, removed by mistake (#99)

* (DOCSP-21715) Remove RDD support (#97)

* (DOCSP-21715) Remove RDD support

* Use actual announcement blog link, dochub not working (#102)

Author: zach-carr

snooty.toml

@@ -3,25 +3,15 @@ title = "MongoDB Spark Connector"
 
 intersphinx = ["https://www.mongodb.com/docs/manual/objects.inv"]
 
-toc_landing_pages = ["/java-api", "/python-api", "/scala-api", "/r-api"]
+toc_landing_pages = ["configuration"]
 
 [constants]
-current-version = "3.0.2"
-spark-core-version = "3.0.2"
-spark-sql-version = "3.0.2"
+current-version = "10.0.0"
+spark-core-version = "3.0.1"
+spark-sql-version = "3.0.1"
 scala-version = "2.12"
 scala-version-full = "2.12.13"
 
 [substitutions]
 copy = "unicode:: U+000A9"
 ent-build = "MongoDB Enterprise"
-
-[[banners]]
-targets = ["*"]
-variant = "info"
-value = """\
-    MongoDB Connector for Spark comes in two standalone series: version \
-    3.x and earlier, and version 10.x and later. \
-    Use the latest 10.x series of the Connector to take advantage of \
-    native integration with Spark features like Structured Streaming.
-    """