HOP-2391 : Samples for various transforms and actions

docs/hop-user-manual/modules/ROOT/pages/pipeline/transforms/avro-file-input.adoc

@@ -0,0 +1,41 @@
+////
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+  http://www.apache.org/licenses/LICENSE-2.0
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+////
+:documentationPath: /pipeline/transforms/
+:language: en_US
+
+= Avro File Input
+
+== Description
+
+The "Avro File Input" transform simply reads Avro records from one or more files.
+Each record is encapsulated in an Avro field.
+Each value has its own Schema and record.
+
+== Options
+
+[width="90%",options="header"]
+|===
+|Option|Description
+|Transform name|Name of the transform.
+Note: This name has to be unique in a single pipeline.
+|Head hop|The name of the transform from which will be read from first.
+|Tail hop|The name of the transform from which will be read from last.
+|===
+
+== Metadata Injection Support
+
+All fields of this transform support metadata injection.

plugins/tech/avro/src/main/java/org/apache/hop/avro/transforms/avrodecode/AvroDecodeMeta.java

@@ -40,7 +40,7 @@
     id = "AvroDecode",
     name = "Avro Decode",
     description = "Decodes Avro data types into Hop fields",
-    image = "avro_input.svg",
+    image = "avro_decode.svg",
     categoryDescription = "Input",
     documentationUrl = "https://hop.apache.org/manual/latest/pipeline/transforms/avro-decode.html",
     keywords = {"Avro", "Decode"})