Github user kunal642 commented on a diff in the pull request:

    https://github.com/apache/carbondata/pull/1042#discussion_r123463948
  
    --- Diff: 
integration/spark-common-test/src/test/scala/org/apache/carbondata/spark/testsuite/partition/TestShowPartitions.scala
 ---
    @@ -0,0 +1,157 @@
    +/*
    + * 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.
    + */
    +
    +package org.apache.carbondata.spark.testsuite.partition
    +
    +import java.sql.Timestamp
    +
    +import org.apache.spark.sql.Row
    +import org.apache.spark.sql.common.util.QueryTest
    +import org.scalatest.BeforeAndAfterAll
    +
    +import org.apache.carbondata.core.constants.CarbonCommonConstants
    +import org.apache.carbondata.core.util.CarbonProperties
    +
    +class TestShowPartition  extends QueryTest with BeforeAndAfterAll {
    +  override def beforeAll = {
    +
    +    CarbonProperties.getInstance()
    +      .addProperty(CarbonCommonConstants.CARBON_TIMESTAMP_FORMAT, 
"dd-MM-yyyy")
    +
    +  }
    +
    +  test("show partition table: hash table") {
    +    sql(
    +      """
    +        | CREATE TABLE hashTable (empname String, designation String, doj 
Timestamp,
    --- End diff --
    
    1. Write the create statement in beforeAll()
    2. 1 or 2 columns are enough
    3. no need to load data


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