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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.spark.sql.kafka010
import org.apache.kafka.common.TopicPartition
import org.apache.spark.SparkFunSuite
class JsonUtilsSuite extends SparkFunSuite {
test("parsing partitions") {
val parsed = JsonUtils.partitions("""{"topicA":[0,1],"topicB":[4,6]}""")
val expected = Array(
new TopicPartition("topicA", 0),
new TopicPartition("topicA", 1),
new TopicPartition("topicB", 4),
new TopicPartition("topicB", 6)
)
assert(parsed.toSeq === expected.toSeq)
}
test("parsing partitionOffsets") {
val parsed = JsonUtils.partitionOffsets(
"""{"topicA":{"0":23,"1":-1},"topicB":{"0":-2}}""")
assert(parsed(new TopicPartition("topicA", 0)) === 23)
assert(parsed(new TopicPartition("topicA", 1)) === -1)
assert(parsed(new TopicPartition("topicB", 0)) === -2)
}
}
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