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Implement parquet simple record as a source for the druid spark indexer #111
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4a20864
Implement parquet simple record as a source for the druid spark indexer
Igosuki 4c9b4d6
Exclude guava deps
Igosuki d37e617
DC/OS git submit script
Igosuki 558f3fe
Druid 0.11.0
Igosuki ab98e37
Use druid 0.11.1-SNAPSHOT
Igosuki 3624573
Use latest druid and the avro flattener api with parquet
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,121 @@ | ||
| #!/usr/bin/shs | ||
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| set -x | ||
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| # Define target environment | ||
| if [ "$environment" = "staging" ]; then SUFFIX="-staging"; fi | ||
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| # SPARK_DCOS_URL the spark service url | ||
| # SPARK_MASTER spark master url, including port | ||
| # SPARK_ARGS spark arguments, as a json array's content | ||
| # SPARK_JARS list of urls where to download jars from | ||
| # SPARK_CLASS_NAME class name of the spark app | ||
| # SPARK_APP_NAME spark app name for display | ||
| # SPARK_DRIVER_CORES driver cores | ||
| # SPARK_DRIVER_MEMORY driver memory | ||
| # SPARK_CORES_MAX max available cores on mesos | ||
| # SPARK_EXECUTOR_MEMORY executor memory | ||
| # SPARK_CASSANDRA_HOST cassandra host name | ||
| # SPARK_CASSANDRA_USER cassandra user name | ||
| # SPARK_CASSANDRA_PASSWORD cassandra password | ||
| # SPARK_POSTGRES_HOST postgres host | ||
| # SPARK_POSTGRES_USER postgres user | ||
| # SPARK_POSTGRES_PASSWORD postgres password | ||
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| SPARK_DCOS_URL="mydcosurl" | ||
| SPARK_MASTER="mysparkmaster" | ||
| SPARK_ARGS="" | ||
| SPARK_JARS="myjarurl" | ||
| SPARK_CLASS_NAME="$jobclass" | ||
| SPARK_APP_NAME="SparkJobs$SUFFIX" | ||
| SPARK_DRIVER_CORES="2" | ||
| SPARK_DRIVER_MEMORY="1024" | ||
| SPARK_CORES_MAX="10" | ||
| SPARK_EXECUTOR_MEMORY="2g" | ||
| SPARK_CASSANDRA_HOST="xxx" | ||
| DCOS_ACS_TOKEN="read acs token" | ||
| SPARK_DOCKER_IMAGE="mesosphere/spark:1.1.0-2.1.1-hadoop-2.6" | ||
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| if [ "$environment" = "staging" ]; then | ||
| SPARK_CASSANDRA_USER="xxx" | ||
| SPARK_CASSANDRA_PASSWORD="xxxx" | ||
| SPARK_POSTGRES_HOST="xxxx" | ||
| SPARK_POSTGRES_USER="xxxx" | ||
| SPARK_POSTGRES_PASSWORD="xxxx" | ||
| else | ||
| SPARK_CASSANDRA_USER="xxx" | ||
| SPARK_CASSANDRA_PASSWORD="xxxx" | ||
| SPARK_POSTGRES_HOST="xxxx" | ||
| SPARK_POSTGRES_USER="xxxx" | ||
| SPARK_POSTGRES_PASSWORD="xxxx" | ||
| fi | ||
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| generate_payload() { | ||
| cat <<-EOF | ||
| { | ||
| "action" : "CreateSubmissionRequest", | ||
| "appArgs" : [ $SPARK_ARGS ], | ||
| "appResource" : "$SPARK_JARS", | ||
| "clientSparkVersion" : "2.1.1", | ||
| "environmentVariables" : { | ||
| "SPARK_ENV_LOADED" : "1" | ||
| }, | ||
| "mainClass" : "$SPARK_CLASS_NAME", | ||
| "sparkProperties" : { | ||
| "spark.jars" : "$SPARK_JARS", | ||
| "spark.driver.supervise" : "false", | ||
| "spark.app.name" : "$SPARK_APP_NAME", | ||
| "spark.eventLog.enabled": "true", | ||
| "spark.submit.deployMode" : "cluster", | ||
| "spark.master" : "spark://${SPARK_MASTER}", | ||
| "spark.driver.cores" : "${SPARK_DRIVER_CORES}", | ||
| "spark.driver.memory" : "${SPARK_DRIVER_MEMORY}", | ||
| "spark.cores.max" : "${SPARK_CORES_MAX}", | ||
| "spark.executor.memory" : "${SPARK_EXECUTOR_MEMORY}", | ||
| "spark.postgres.hostname" : "${SPARK_POSTGRES_HOST}", | ||
| "spark.postgres.username" : "${SPARK_POSTGRES_USER}", | ||
| "spark.postgres.password" : "${SPARK_POSTGRES_PASSWORD}", | ||
| "spark.mesos.executor.docker.image": "${SPARK_DOCKER_IMAGE}", | ||
| "spark.driver.supervise": false, | ||
| "spark.ssl.noCertVerification": true | ||
| } | ||
| } | ||
| EOF | ||
| } | ||
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| acsHeader="Authorization: token=$DCOS_ACS_TOKEN" | ||
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| submission=$(curl -sS -X POST "${SPARK_DCOS_URL}/v1/submissions/create" --header "$acsHeader" --header "Content-Type:application/json;charset=UTF-8" --data "$(generate_payload)") | ||
| submissionSuccess=$(echo $submission | jq -r 'select(.success)') | ||
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| if [[ $submissionSuccess ]]; then | ||
| SECONDS=0 | ||
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| submissionId=$(echo $submission | jq -rj '.submissionId') | ||
| # Wait for the job to finish | ||
| until test "$(curl --header "$acsHeader" -sS $SPARK_DCOS_URL/v1/submissions/status/$submissionId | jq -r '.driverState')" != "RUNNING"; do sleep 10; echo "Waiting..."; done | ||
| lastStatus=$(curl --header "$acsHeader" -sS $SPARK_DCOS_URL/v1/submissions/status/$submissionId | jq -r '.') | ||
| echo $lastStatus | ||
| taskState=$(echo $lastStatus | jq -r '.message' | grep state | cut -d " " -f 2) | ||
| taskMessage=$(echo $lastStatus | jq -r '.message' | grep message | cut -d " " -f 2) | ||
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| if [ "$taskState" = "TASK_FINISHED" ] || [ "$taskState" = "TASK_OK" ]; then | ||
| echo "Job succeeded." | ||
| echo "$taskMessage" | ||
| DURATION=$SECONDS | ||
| curl -s https://metrics-api.librato.com/v1/metrics -u $LIBRATO_USERNAME:$LIBRATO_TOKEN -H 'Content-Type: application/json' \ | ||
| -d "{\"gauges\":{\"spark_jobs.$SPARK_APP_NAME.duration.s\":{\"value\":$DURATION,\"source\":\"jenkins\"}}}" | ||
| exit 0; | ||
| else | ||
| echo "Job failed:" | ||
| echo "$taskMessage" | ||
| # TODO: notify people! | ||
| exit 1; | ||
| fi | ||
| else | ||
| echo "Submission failed ! Exiting..." | ||
| echo $submission | jq -r '.message' | ||
| exit 1 | ||
| fi | ||
|
|
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55 changes: 55 additions & 0 deletions
55
src/main/java/io/druid/indexer/spark/parquet/ParquetInputRowParser.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,55 @@ | ||
| package io.druid.indexer.spark.parquet; | ||
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| import com.fasterxml.jackson.annotation.JsonCreator; | ||
| import com.fasterxml.jackson.annotation.JsonProperty; | ||
| import com.google.common.collect.Maps; | ||
| import io.druid.data.input.InputRow; | ||
| import io.druid.data.input.MapBasedInputRow; | ||
| import io.druid.data.input.avro.AvroParsers; | ||
| import io.druid.data.input.impl.InputRowParser; | ||
| import io.druid.data.input.impl.ParseSpec; | ||
| import io.druid.java.util.common.parsers.ObjectFlattener; | ||
| import org.apache.avro.generic.GenericRecord; | ||
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| import java.util.Map; | ||
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| public class ParquetInputRowParser implements InputRowParser<GenericRecord> { | ||
| private final ParseSpec parseSpec; | ||
| private final ObjectFlattener<GenericRecord> avroFlattener; | ||
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| @JsonCreator | ||
| public ParquetInputRowParser( | ||
| @JsonProperty("parseSpec") ParseSpec parseSpec | ||
| ) | ||
| { | ||
| this.parseSpec = parseSpec; | ||
| this.avroFlattener = AvroParsers.makeFlattener(parseSpec, false, false); | ||
| } | ||
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| @JsonProperty | ||
| @Override | ||
| public ParseSpec getParseSpec() | ||
| { | ||
| return parseSpec; | ||
| } | ||
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| @Override | ||
| public ParquetInputRowParser withParseSpec(ParseSpec parseSpec) | ||
| { | ||
| return new ParquetInputRowParser(parseSpec); | ||
| } | ||
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| @Override | ||
| public InputRow parse(GenericRecord input) | ||
| { | ||
| // We should really create a ParquetBasedInputRow that does not need an intermediate map but accesses | ||
| // the SimpleRecord directly... | ||
| MapBasedInputRow mapBasedInputRow = (MapBasedInputRow) AvroParsers.parseGenericRecord(input, parseSpec, avroFlattener); | ||
| Map<String, Object> event = mapBasedInputRow.getEvent(); | ||
| Map<String, Object> newMap = Maps.newHashMapWithExpectedSize(event.size()); | ||
| for (String key : mapBasedInputRow.getEvent().keySet()) { | ||
| newMap.put(key, event.get(key)); | ||
| } | ||
| return new MapBasedInputRow(mapBasedInputRow.getTimestampFromEpoch(), mapBasedInputRow.getDimensions(), newMap); | ||
| } | ||
| } |
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Just putting a note here as a reminder to correct this before merge.