Add Apache Spark receiver #5318
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| FROM apache/spark:3.4.0-python3 | ||
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| COPY ./long_running.py /opt/spark/examples/src/main/python/long_running.py | ||
| RUN chmod +x /opt/spark/examples/src/main/python/long_running.py | ||
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| CMD [ "/opt/spark/bin/spark-submit", "/opt/spark/examples/src/main/python/long_running.py" ] | ||
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| EXPOSE 4040 |
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| # Keep the original spark license. | ||
| # | ||
| # 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. | ||
| # | ||
| # Original source: https://github.com/apache/spark/blob/master/examples/src/main/python/status_api_demo.py | ||
| # | ||
| # NOTICE: | ||
| # Apache Spark | ||
| # Copyright 2014 and onwards The Apache Software Foundation. | ||
| # | ||
| # This product includes software developed at | ||
| # The Apache Software Foundation (http://www.apache.org/). | ||
| # | ||
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| import time | ||
| import threading | ||
| import queue as Queue | ||
| from typing import Any, Callable, List, Tuple | ||
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| from pyspark import SparkConf, SparkContext | ||
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| def delayed(seconds: int) -> Callable[[Any], Any]: | ||
| def f(x: int) -> int: | ||
| time.sleep(seconds) | ||
| return x | ||
| return f | ||
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| def call_in_background(f: Callable[..., Any], *args: Any) -> Queue.Queue: | ||
| result: Queue.Queue = Queue.Queue(1) | ||
| t = threading.Thread(target=lambda: result.put(f(*args))) | ||
| t.daemon = True | ||
| t.start() | ||
| return result | ||
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| def main() -> None: | ||
| conf = SparkConf().set("spark.ui.showConsoleProgress", "false") | ||
| sc = SparkContext(appName="PythonStatusAPIDemo", conf=conf) | ||
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| def run() -> List[Tuple[int, int]]: | ||
| rdd = sc.parallelize(range(10), 10).map(delayed(2)) | ||
| reduced = rdd.map(lambda x: (x, 1)).reduceByKey(lambda x, y: x + y) | ||
| return reduced.map(delayed(2)).collect() | ||
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| result = call_in_background(run) | ||
| status = sc.statusTracker() | ||
| while result.empty(): | ||
| ids = status.getJobIdsForGroup() | ||
| for id in ids: | ||
| job = status.getJobInfo(id) | ||
| assert job is not None | ||
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| print("Job", id, "status: ", job.status) | ||
| for sid in job.stageIds: | ||
| info = status.getStageInfo(sid) | ||
| if info: | ||
| print("Stage %d: %d tasks total (%d active, %d complete)" % | ||
| (sid, info.numTasks, info.numActiveTasks, info.numCompletedTasks)) | ||
| time.sleep(1) | ||
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| print("Job results are:", result.get()) | ||
| sc.stop() | ||
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| if __name__ == "__main__": | ||
| for i in range(100): | ||
| main() |
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| // Copyright Splunk, Inc. | ||
| // | ||
| // Licensed 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. | ||
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| //go:build integration | ||
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| package tests | ||
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| import ( | ||
| "testing" | ||
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| "github.com/open-telemetry/opentelemetry-collector-contrib/pkg/pdatatest/pmetrictest" | ||
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| "github.com/signalfx/splunk-otel-collector/tests/testutils" | ||
| ) | ||
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| const sparkPort = "4040" | ||
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| func TestApacheSparkIntegration(t *testing.T) { | ||
| testutils.CheckGoldenFile(t, "all_metrics_config.yaml", "all_expected_metrics.yaml", | ||
| pmetrictest.IgnoreMetricValues(), | ||
| pmetrictest.IgnoreStartTimestamp(), | ||
| pmetrictest.IgnoreTimestamp(), | ||
| pmetrictest.IgnoreScopeVersion(), | ||
| pmetrictest.IgnoreResourceAttributeValue("spark.application.id"), | ||
| pmetrictest.IgnoreResourceAttributeValue("spark.application.name"), | ||
| pmetrictest.IgnoreMetricAttributeValue("active", "spark.stage.status"), | ||
| pmetrictest.IgnoreMetricAttributeValue("complete", "spark.stage.status"), | ||
| pmetrictest.IgnoreMetricAttributeValue("failed", "spark.stage.status"), | ||
| pmetrictest.IgnoreMetricAttributeValue("pending", "spark.stage.status"), | ||
| pmetrictest.IgnoreMetricDataPointsOrder(), | ||
| ) | ||
| } |
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Note: This file was a direct copy from here.