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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.
*/
import CommonJobProperties as commonJobProperties
import CommonTestProperties.Runner
import CommonTestProperties.SDK
import CommonTestProperties.TriggeringContext
// Class for building NEXMark jobs and suites.
class NexmarkBuilder {
private static Map<String, Object> defaultOptions = [
'bigQueryTable' : 'nexmark',
'project' : 'apache-beam-testing',
'resourceNameMode' : 'QUERY_RUNNER_AND_MODE',
'exportSummaryToBigQuery': true,
'tempLocation' : 'gs://temp-storage-for-perf-tests/nexmark',
'manageResources' : false,
'monitorJobs' : true
]
static void standardJob(context, Runner runner, SDK sdk, Map<String, Object> jobSpecificOptions, TriggeringContext triggeringContext) {
Map<String, Object> options = getFullOptions(jobSpecificOptions, runner, triggeringContext)
options.put('streaming', false)
suite(context, "NEXMARK IN BATCH MODE USING ${runner} RUNNER", runner, sdk, options)
options.put('streaming', true)
suite(context, "NEXMARK IN STREAMING MODE USING ${runner} RUNNER", runner, sdk, options)
options.put('queryLanguage', 'sql')
options.put('streaming', false)
suite(context, "NEXMARK IN SQL BATCH MODE USING ${runner} RUNNER", runner, sdk, options)
options.put('streaming', true)
suite(context, "NEXMARK IN SQL STREAMING MODE USING ${runner} RUNNER", runner, sdk, options)
}
static void batchOnlyJob(context, Map<String, Object> jobSpecificOptions, TriggeringContext triggeringContext) {
Runner runner = Runner.SPARK
SDK sdk = SDK.JAVA
Map<String, Object> options = getFullOptions(jobSpecificOptions, runner, triggeringContext)
options.put('streaming', false)
suite(context, "NEXMARK IN BATCH MODE USING ${runner} RUNNER", runner, sdk, options)
options.put('queryLanguage', 'sql')
suite(context, "NEXMARK IN SQL BATCH MODE USING ${runner} RUNNER", runner, sdk, options)
}
private
static Map<String, Object> getFullOptions(Map<String, Object> jobSpecificOptions, Runner runner, TriggeringContext triggeringContext) {
Map<String, Object> options = defaultOptions + jobSpecificOptions
options.put('runner', runner.option)
options.put('bigQueryDataset', determineBigQueryDataset(triggeringContext))
options
}
static void suite(context, String title, Runner runner, SDK sdk, Map<String, Object> options) {
context.steps {
shell("echo *** RUN ${title} ***")
gradle {
rootBuildScriptDir(commonJobProperties.checkoutDir)
tasks(':sdks:java:testing:nexmark:run')
commonJobProperties.setGradleSwitches(delegate)
switches("-Pnexmark.runner=${runner.getDepenedencyBySDK(sdk)}")
switches("-Pnexmark.args=\"${parseOptions(options)}\"")
}
}
}
private static String parseOptions(Map<String, Object> options) {
options.collect { "--${it.key}=${it.value.toString()}" }.join(' ')
}
private static String determineBigQueryDataset(TriggeringContext triggeringContext) {
triggeringContext == TriggeringContext.PR ? "nexmark_PRs" : "nexmark"
}
}