diff --git a/source/batch-mode/batch-read.txt b/source/batch-mode/batch-read.txt
index 0d777de..0e0dae9 100644
--- a/source/batch-mode/batch-read.txt
+++ b/source/batch-mode/batch-read.txt
@@ -135,6 +135,11 @@ Filters
 
    tabs:
 
+     - id: java-sync
+       content: |
+
+         .. include:: /java/filters.rst
+
      - id: python
        content: |
 
diff --git a/source/java/filters.rst b/source/java/filters.rst
new file mode 100644
index 0000000..d0a203d
--- /dev/null
+++ b/source/java/filters.rst
@@ -0,0 +1,35 @@
+.. include:: /includes/pushed-filters.rst
+
+You can use :driver:`Java Aggregation Expressions
+</java/sync/upcoming/fundamentals/aggregation-expression-operations/>` to filter
+your data. 
+
+.. include:: /includes/example-load-dataframe.rst
+
+First, create a DataFrame to connect to your default MongoDB data source:
+
+.. code-block:: java
+
+   Dataset<Row> df = spark.read()
+                          .format("mongodb")
+                          .option("database", "food")
+                          .option("collection", "fruit")
+                          .load();
+
+The following example retrieves only records in which the value of ``qty`` field
+is greater than or equal to ``10``: 
+
+.. code-block:: java
+
+   df.filter(df.col("qty").gte(10))
+
+The operation outputs the following:
+
+.. code-block:: none
+
+   +---+----+------+
+   |_id| qty|  type|
+   +---+----+------+
+   |2.0|10.0|orange|
+   |3.0|15.0|banana|
+   +---+----+------+