diff --git a/sparkly/testing.py b/sparkly/testing.py
index 5be90df..e29bb08 100644
--- a/sparkly/testing.py
+++ b/sparkly/testing.py
@@ -36,7 +36,7 @@
 
 from sparkly import SparklySession
 from sparkly.exceptions import FixtureError
-from sparkly.utils import kafka_get_topics_offsets
+from sparkly.utils import kafka_create_topic, kafka_get_topics_offsets
 
 if sys.version_info.major == 3:
     from http.client import HTTPConnection
@@ -58,8 +58,7 @@
     MYSQL_FIXTURES_SUPPORT = False
 
 try:
-    import kafka.admin
-    from kafka import KafkaConsumer, KafkaProducer, KafkaAdminClient
+    from kafka import KafkaConsumer, KafkaProducer
     KAFKA_FIXTURES_SUPPORT = True
 except ImportError:
     KAFKA_FIXTURES_SUPPORT = False
@@ -862,8 +861,6 @@ def __init__(
         host,
         topic,
         port=9092,
-        num_partitions=2,
-        replication_factor=1,
     ):
         """Initialize context manager
 
@@ -887,14 +884,7 @@ def __init__(
         self._df = None
         self.count = 0
 
-        kafka_admin = KafkaAdminClient(bootstrap_servers=host)
-        kafka_admin.create_topics([
-            kafka.admin.NewTopic(
-                name=topic,
-                num_partitions=num_partitions,
-                replication_factor=replication_factor,
-            ),
-        ])
+        kafka_create_topic(host, topic)
 
     def __enter__(self):
         self._df = None
diff --git a/sparkly/utils.py b/sparkly/utils.py
index b40df10..6800640 100644
--- a/sparkly/utils.py
+++ b/sparkly/utils.py
@@ -21,7 +21,8 @@
 import re
 
 try:
-    from kafka import KafkaConsumer, TopicPartition
+    from kafka import KafkaAdminClient, KafkaConsumer, TopicPartition
+    import kafka.admin
 except ImportError:
     pass
 
@@ -77,18 +78,40 @@ def kafka_get_topics_offsets(host, topic, port=9092):
     """
     brokers = ['{}:{}'.format(host, port)]
     consumer = KafkaConsumer(bootstrap_servers=brokers)
-    topic_partitions = [TopicPartition(topic, p) for p in consumer.partitions_for_topic(topic)]
-    start_offsets_raw = consumer.beginning_offsets(topic_partitions)
-    end_offsets_raw = consumer.end_offsets(topic_partitions)
-    start_offsets = {tp.partition: offset for tp, offset in start_offsets_raw.items()}
-    end_offsets = {tp.partition: offset for tp, offset in end_offsets_raw.items()}
-    offsets = [
-        (partition, start_offsets[partition], end_offsets[partition])
-        for partition in start_offsets
-    ]
+    partitions = consumer.partitions_for_topic(topic)
+    offsets = []
+    if partitions:
+        topic_partitions = [TopicPartition(topic, p) for p in partitions]
+        start_offsets_raw = consumer.beginning_offsets(topic_partitions)
+        end_offsets_raw = consumer.end_offsets(topic_partitions)
+        start_offsets = {tp.partition: offset for tp, offset in start_offsets_raw.items()}
+        end_offsets = {tp.partition: offset for tp, offset in end_offsets_raw.items()}
+        offsets = [
+            (partition, start_offsets[partition], end_offsets[partition])
+            for partition in start_offsets
+        ]
 
     return offsets
 
+def kafka_create_topic(host, topic, port=9092, num_partitions=2, replication_factor=1):
+    """Creates Kafka topic.
+
+    Args:
+        host (str): Kafka host.
+        topic (str): Kafka topic.
+        port (int): Kafka port.
+        num_partitions (int): Number of topic's partitions.
+        replication_factor (int): Number of partition's replicas.
+    """
+    kafka_admin = KafkaAdminClient(bootstrap_servers=f'{host}:{port}')
+    kafka_admin.create_topics([
+        kafka.admin.NewTopic(
+            name=topic,
+            num_partitions=num_partitions,
+            replication_factor=replication_factor,
+        ),
+    ])
+
 
 class lru_cache(object):
     """LRU cache that supports DataFrames.