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/*
* 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.ignite.spark
import org.apache.ignite.spark.AbstractDataFrameSpec.TEST_CONFIG_FILE
import org.apache.ignite.spark.IgniteDataFrameSettings._
import org.apache.ignite.IgniteException
import org.junit.runner.RunWith
import org.scalatest.junit.JUnitRunner
/**
* Negative tests to check errors in case of wrong configuration.
*/
@RunWith(classOf[JUnitRunner])
class IgniteDataFrameWrongConfigSpec extends AbstractDataFrameSpec {
describe("DataFrame negative cases") {
it("Should throw exception when try load unknown table") {
intercept[IgniteException] {
spark.read
.format(FORMAT_IGNITE)
.option(OPTION_CONFIG_FILE, TEST_CONFIG_FILE)
.option(OPTION_TABLE, "unknown_table")
.load()
}
}
it("Should throw exception when no cache and no table") {
intercept[IgniteException] {
spark.read
.format(FORMAT_IGNITE)
.option(OPTION_CONFIG_FILE, TEST_CONFIG_FILE)
.load()
}
}
}
}