mirror of https://github.com/apache/druid.git
reoganize code folder according to recent upstream folder changes, seperate it from avro code and take it into extensions-conrib. docs rewite too
This commit is contained in:
DuNinglin [杜宁林]
parent
95733a362f
commit
0f67ff7dfb
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@ -0,0 +1,90 @@
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# Parquet
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This extension enables Druid to ingest and understand the Apache Parquet data format offline.
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## Parquet Hadoop Parser
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This is for batch ingestion using the HadoopDruidIndexer. The inputFormat of inputSpec in ioConfig must be set to `"io.druid.data.input.parquet.DruidParquetInputFormat"`. Make sure also to include "io.druid.extensions:druid-avro-extensions" as an extension.
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Field | Type | Description | Required
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----------|-------------|----------------------------------------------------------------------------------------|---------
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type | String | This should say `parquet` | yes
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parseSpec | JSON Object | Specifies the timestamp and dimensions of the data. Should be a timeAndDims parseSpec. | yes
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For example:
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```json
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{
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"type": "index_hadoop",
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"spec": {
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"ioConfig": {
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"type": "hadoop",
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"inputSpec": {
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"type": "static",
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"inputFormat": "io.druid.data.input.parquet.DruidParquetInputFormat",
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"paths": "no_metrics"
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},
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"metadataUpdateSpec": {
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"type": "postgresql",
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"connectURI": "jdbc:postgresql://localhost/druid",
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"user" : "druid",
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"password" : "asdf",
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"segmentTable": "druid_segments"
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},
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"segmentOutputPath": "tmp/segments"
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},
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"dataSchema": {
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"dataSource": "no_metrics",
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"parser": {
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"type": "parquet",
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"parseSpec": {
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"format": "timeAndDims",
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"timestampSpec": {
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"column": "time",
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"format": "auto"
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},
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"dimensionsSpec": {
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"dimensions": [
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"name"
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],
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"dimensionExclusions": [],
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"spatialDimensions": []
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}
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}
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},
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"metricsSpec": [{
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"type": "count",
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"name": "count"
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}],
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"granularitySpec": {
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"type": "uniform",
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"segmentGranularity": "DAY",
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"queryGranularity": "ALL",
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"intervals": ["2015-12-31/2016-01-02"]
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}
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},
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"tuningConfig": {
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"type": "hadoop",
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"workingPath": "tmp/working_path",
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"partitionsSpec": {
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"targetPartitionSize": 5000000
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},
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"jobProperties" : {},
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"leaveIntermediate": true
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}
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}
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}
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```
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Almost all the fields listed above are required, including `inputFormat`, `metadataUpdateSpec`(`type`, `connectURI`, `user`, `password`, `segmentTable`). Set `jobProperties` to make hdfs path timezone unrelated.
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It is no need to make your cluster to update to SNAPSHOT, you can just fire a hadoop job with your local compiled jars like:
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```bash
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HADOOP_CLASS_PATH=`hadoop classpath | sed s/*.jar/*/g`
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java -Xmx32m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \
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-classpath config/overlord:config/_common:lib/*:$HADOOP_CLASS_PATH:extensions/druid-avro-extensions/* \
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io.druid.cli.Main index hadoop \
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wikipedia_hadoop_parquet_job.json
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```
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@ -45,6 +45,7 @@ If you'd like to take on maintenance for a community extension, please post on [
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|druid-cloudfiles-extensions|Rackspace Cloudfiles deep storage and firehose.|[link](../development/extensions-contrib/cloudfiles.html)|
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|druid-distinctcount|DistinctCount aggregator|[link](../development/extensions-contrib/distinctcount.html)|
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|druid-kafka-eight-simpleConsumer|Kafka ingest firehose (low level consumer).|[link](../development/extensions-contrib/kafka-simple.html)|
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|druid-parquet-extensions|Support for data in Apache Parquet data format.|[link](../development/extensions-contrib/parquet.html)|
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|druid-rabbitmq|RabbitMQ firehose.|[link](../development/extensions-contrib/rabbitmq.html)|
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|druid-rocketmq|RocketMQ firehose.|[link](../development/extensions-contrib/rocketmq.html)|
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|graphite-emitter|Graphite metrics emitter|[link](../development/extensions-contrib/graphite.html)|
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{
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"type": "index_hadoop",
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"spec": {
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"ioConfig": {
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"type": "hadoop",
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"inputSpec": {
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"type": "static",
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"inputFormat": "io.druid.data.input.parquet.DruidParquetInputFormat",
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"paths": "no_metrics"
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},
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"metadataUpdateSpec": {
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"type": "postgresql",
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"connectURI": "jdbc:postgresql://localhost/druid",
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"user" : "druid",
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"password" : "asdf",
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"segmentTable": "druid_segments"
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},
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"segmentOutputPath": "tmp/segments"
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},
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"dataSchema": {
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"dataSource": "no_metrics",
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"parser": {
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"type": "parquet",
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"parseSpec": {
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"format": "timeAndDims",
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"timestampSpec": {
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"column": "time",
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"format": "auto"
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},
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"dimensionsSpec": {
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"dimensions": [
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"name"
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],
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"dimensionExclusions": [],
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"spatialDimensions": []
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}
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}
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},
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"metricsSpec": [{
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"type": "count",
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"name": "count"
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}],
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"granularitySpec": {
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"type": "uniform",
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"segmentGranularity": "DAY",
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"queryGranularity": "ALL",
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"intervals": ["2015-12-31/2016-01-02"]
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}
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},
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"tuningConfig": {
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"type": "hadoop",
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"workingPath": "tmp/working_path",
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"partitionsSpec": {
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"targetPartitionSize": 5000000
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},
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"jobProperties" : {
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"mapreduce.map.java.opts": "-server -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps",
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"mapreduce.reduce.java.opts": "-server -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps",
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"mapred.child.java.opts": "-server -XX:+PrintGCDetails -XX:+PrintGCTimeStamps"
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},
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"leaveIntermediate": true
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}
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}
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}
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@ -0,0 +1,75 @@
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{
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"type": "index_hadoop",
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"spec": {
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"ioConfig": {
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"type": "hadoop",
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"inputSpec": {
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"type": "static",
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"inputFormat": "io.druid.data.input.parquet.DruidParquetInputFormat",
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"paths": "wikipedia.gz.parquet"
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},
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"metadataUpdateSpec": {
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"type": "postgresql",
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"connectURI": "jdbc:postgresql://localhost/druid",
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"user" : "druid",
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"password" : "asdf",
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"segmentTable": "druid_segments"
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},
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"segmentOutputPath": "/tmp/segments"
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},
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"dataSchema": {
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"dataSource": "wikipedia",
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"parser": {
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"type": "parquet",
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"parseSpec": {
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"format": "timeAndDims",
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"timestampSpec": {
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"column": "timestamp",
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"format": "auto"
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},
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"dimensionsSpec": {
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"dimensions": [
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"page",
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"language",
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"user",
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"unpatrolled"
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],
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"dimensionExclusions": [],
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"spatialDimensions": []
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}
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}
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},
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"metricsSpec": [{
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"type": "count",
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"name": "count"
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}, {
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"type": "doubleSum",
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"name": "deleted",
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"fieldName": "deleted"
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}, {
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"type": "doubleSum",
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"name": "delta",
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"fieldName": "delta"
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}],
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"granularitySpec": {
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"type": "uniform",
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"segmentGranularity": "DAY",
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"queryGranularity": "NONE",
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"intervals": ["2013-08-30/2013-09-02"]
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}
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},
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"tuningConfig": {
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"type": "hadoop",
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"workingPath": "tmp/working_path",
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"partitionsSpec": {
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"targetPartitionSize": 5000000
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},
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"jobProperties" : {
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"mapreduce.map.java.opts": "-server -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps",
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"mapreduce.reduce.java.opts": "-server -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps",
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"mapred.child.java.opts": "-server -XX:+PrintGCDetails -XX:+PrintGCTimeStamps"
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},
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"leaveIntermediate": true
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}
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}
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}
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@ -0,0 +1,58 @@
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{
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"type" : "index_hadoop",
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"spec" : {
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"ioConfig": {
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"type": "hadoop",
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"inputSpec": {
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"type": "static",
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"inputFormat": "io.druid.data.input.parquet.DruidParquetInputFormat",
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"paths": "wikipedia_list.parquet"
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}
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},
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"dataSchema": {
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"dataSource": "wikipedia",
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"parser": {
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"type": "parquet",
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"parseSpec": {
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"format": "timeAndDims",
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"timestampSpec": {
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"column": "timestamp",
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"format": "auto"
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},
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"dimensionsSpec": {
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"dimensions": [
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"page",
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"language",
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"user"
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],
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"dimensionExclusions": [],
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"spatialDimensions": []
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}
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}
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},
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"metricsSpec": [
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{
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"type": "count",
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"name": "count"
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},
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{
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"type": "doubleSum",
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"name": "added",
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"fieldName": "added"
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}
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],
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"granularitySpec": {
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"type": "uniform",
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"segmentGranularity": "DAY",
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"queryGranularity": "NONE",
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"intervals": ["2013-08-31/2013-09-01"]
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}
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},
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"tuningConfig": {
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"type": "hadoop",
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"partitionsSpec": {
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"targetPartitionSize": 5000000
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}
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}
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}
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}
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Binary file not shown.
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@ -0,0 +1,45 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<parent>
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<artifactId>druid</artifactId>
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<groupId>io.druid</groupId>
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<version>0.9.1-SNAPSHOT</version>
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<relativePath>../../pom.xml</relativePath>
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</parent>
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<modelVersion>4.0.0</modelVersion>
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<artifactId>druid-parquet-extensions</artifactId>
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<dependencies>
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<dependency>
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<groupId>io.druid.extensions</groupId>
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<artifactId>druid-avro-extensions</artifactId>
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<version>${project.parent.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.parquet</groupId>
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<artifactId>parquet-avro</artifactId>
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<version>1.8.0</version>
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</dependency>
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<dependency>
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<groupId>io.druid</groupId>
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<artifactId>druid-indexing-hadoop</artifactId>
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<version>${project.parent.version}</version>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>org.apache.hadoop</groupId>
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<artifactId>hadoop-client</artifactId>
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<scope>provided</scope>
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</dependency>
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<dependency>
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<groupId>junit</groupId>
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<artifactId>junit</artifactId>
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<scope>test</scope>
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</dependency>
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</dependencies>
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</project>
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@ -0,0 +1,31 @@
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/*
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* Licensed to Metamarkets Group Inc. (Metamarkets) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. Metamarkets 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
|
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*
|
||||
* 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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package io.druid.data.input.parquet;
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import org.apache.avro.generic.GenericRecord;
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import org.apache.parquet.avro.DruidParquetReadSupport;
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import org.apache.parquet.hadoop.ParquetInputFormat;
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public class DruidParquetInputFormat extends ParquetInputFormat<GenericRecord>
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{
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public DruidParquetInputFormat()
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{
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super(DruidParquetReadSupport.class);
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}
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}
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/*
|
||||
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. Metamarkets 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 io.druid.data.input.parquet;
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|
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import com.fasterxml.jackson.databind.Module;
|
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import com.fasterxml.jackson.databind.jsontype.NamedType;
|
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import com.fasterxml.jackson.databind.module.SimpleModule;
|
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import com.google.inject.Binder;
|
||||
import io.druid.initialization.DruidModule;
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|
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import java.util.Arrays;
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import java.util.List;
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|
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public class ParquetExtensionsModule implements DruidModule
|
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{
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||||
|
||||
@Override
|
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public List<? extends Module> getJacksonModules()
|
||||
{
|
||||
return Arrays.asList(
|
||||
new SimpleModule("ParuqetInputRowParserModule")
|
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.registerSubtypes(
|
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new NamedType(ParquetHadoopInputRowParser.class, "parquet")
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||||
)
|
||||
);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void configure(Binder binder)
|
||||
{ }
|
||||
}
|
||||
|
|
@ -0,0 +1,80 @@
|
|||
/*
|
||||
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. Metamarkets 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 io.druid.data.input.parquet;
|
||||
|
||||
import com.fasterxml.jackson.annotation.JsonCreator;
|
||||
import com.fasterxml.jackson.annotation.JsonProperty;
|
||||
import com.google.common.collect.Lists;
|
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import io.druid.data.input.AvroStreamInputRowParser;
|
||||
import io.druid.data.input.InputRow;
|
||||
import io.druid.data.input.MapBasedInputRow;
|
||||
import io.druid.data.input.avro.GenericRecordAsMap;
|
||||
import io.druid.data.input.impl.DimensionSchema;
|
||||
import io.druid.data.input.impl.InputRowParser;
|
||||
import io.druid.data.input.impl.ParseSpec;
|
||||
import io.druid.data.input.impl.TimestampSpec;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.joda.time.DateTime;
|
||||
|
||||
import java.util.List;
|
||||
|
||||
public class ParquetHadoopInputRowParser implements InputRowParser<GenericRecord>
|
||||
{
|
||||
private final ParseSpec parseSpec;
|
||||
private final List<String> dimensions;
|
||||
|
||||
@JsonCreator
|
||||
public ParquetHadoopInputRowParser(
|
||||
@JsonProperty("parseSpec") ParseSpec parseSpec
|
||||
)
|
||||
{
|
||||
this.parseSpec = parseSpec;
|
||||
|
||||
List<DimensionSchema> dimensionSchema = parseSpec.getDimensionsSpec().getDimensions();
|
||||
this.dimensions = Lists.newArrayList();
|
||||
for (DimensionSchema dim : dimensionSchema) {
|
||||
this.dimensions.add(dim.getName());
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* imitate avro extension {@link AvroStreamInputRowParser#parseGenericRecord(GenericRecord, ParseSpec, List, boolean)}
|
||||
*/
|
||||
@Override
|
||||
public InputRow parse(GenericRecord record)
|
||||
{
|
||||
GenericRecordAsMap genericRecordAsMap = new GenericRecordAsMap(record, false);
|
||||
TimestampSpec timestampSpec = parseSpec.getTimestampSpec();
|
||||
DateTime dateTime = timestampSpec.extractTimestamp(genericRecordAsMap);
|
||||
return new MapBasedInputRow(dateTime, dimensions, genericRecordAsMap);
|
||||
}
|
||||
|
||||
@JsonProperty
|
||||
@Override
|
||||
public ParseSpec getParseSpec()
|
||||
{
|
||||
return parseSpec;
|
||||
}
|
||||
|
||||
@Override
|
||||
public InputRowParser withParseSpec(ParseSpec parseSpec)
|
||||
{
|
||||
return new ParquetHadoopInputRowParser(parseSpec);
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,102 @@
|
|||
/*
|
||||
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. Metamarkets 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.parquet.avro;
|
||||
|
||||
import com.google.common.collect.Lists;
|
||||
import com.google.common.collect.Sets;
|
||||
import io.druid.data.input.impl.DimensionSchema;
|
||||
import io.druid.indexer.HadoopDruidIndexerConfig;
|
||||
import io.druid.query.aggregation.AggregatorFactory;
|
||||
import io.druid.query.aggregation.CountAggregatorFactory;
|
||||
import org.apache.avro.Schema;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.util.ReflectionUtils;
|
||||
import org.apache.parquet.hadoop.api.InitContext;
|
||||
import org.apache.parquet.io.api.RecordMaterializer;
|
||||
import org.apache.parquet.schema.MessageType;
|
||||
import org.apache.parquet.schema.Type;
|
||||
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.Set;
|
||||
|
||||
public class DruidParquetReadSupport extends AvroReadSupport<GenericRecord>
|
||||
{
|
||||
private MessageType getPartialReadSchema(InitContext context)
|
||||
{
|
||||
MessageType fullSchema = context.getFileSchema();
|
||||
|
||||
String name = fullSchema.getName();
|
||||
|
||||
HadoopDruidIndexerConfig config = HadoopDruidIndexerConfig.fromConfiguration(context.getConfiguration());
|
||||
String tsField = config.getParser().getParseSpec().getTimestampSpec().getTimestampColumn();
|
||||
|
||||
List<DimensionSchema> dimensionSchema = config.getParser().getParseSpec().getDimensionsSpec().getDimensions();
|
||||
Set<String> dimensions = Sets.newHashSet();
|
||||
for (DimensionSchema dim : dimensionSchema) {
|
||||
dimensions.add(dim.getName());
|
||||
}
|
||||
|
||||
Set<String> metricsFields = Sets.newHashSet();
|
||||
for (AggregatorFactory agg : config.getSchema().getDataSchema().getAggregators()) {
|
||||
metricsFields.addAll(agg.requiredFields());
|
||||
}
|
||||
|
||||
List<Type> partialFields = Lists.newArrayList();
|
||||
|
||||
for (Type type : fullSchema.getFields()) {
|
||||
if (tsField.equals(type.getName())
|
||||
|| metricsFields.contains(type.getName())
|
||||
|| dimensions.size() > 0 && dimensions.contains(type.getName())
|
||||
|| dimensions.size() == 0) {
|
||||
partialFields.add(type);
|
||||
}
|
||||
}
|
||||
|
||||
return new MessageType(name, partialFields);
|
||||
}
|
||||
|
||||
public ReadContext init(InitContext context)
|
||||
{
|
||||
MessageType requestedProjection = getSchemaForRead(context.getFileSchema(), getPartialReadSchema(context));
|
||||
return new ReadContext(requestedProjection);
|
||||
}
|
||||
|
||||
@Override
|
||||
public RecordMaterializer<GenericRecord> prepareForRead(
|
||||
Configuration configuration, Map<String, String> keyValueMetaData,
|
||||
MessageType fileSchema, ReadContext readContext
|
||||
)
|
||||
{
|
||||
|
||||
MessageType parquetSchema = readContext.getRequestedSchema();
|
||||
Schema avroSchema = new AvroSchemaConverter(configuration).convert(parquetSchema);
|
||||
|
||||
Class<? extends AvroDataSupplier> suppClass = configuration.getClass(
|
||||
AVRO_DATA_SUPPLIER,
|
||||
SpecificDataSupplier.class,
|
||||
AvroDataSupplier.class
|
||||
);
|
||||
AvroDataSupplier supplier = ReflectionUtils.newInstance(suppClass, configuration);
|
||||
return new AvroRecordMaterializer<GenericRecord>(parquetSchema, avroSchema, supplier.get());
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1 @@
|
|||
io.druid.data.input.parquet.ParquetExtensionsModule
|
||||
|
|
@ -0,0 +1,76 @@
|
|||
/*
|
||||
* Licensed to Metamarkets Group Inc. (Metamarkets) under one
|
||||
* or more contributor license agreements. See the NOTICE file
|
||||
* distributed with this work for additional information
|
||||
* regarding copyright ownership. Metamarkets 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 io.druid.data.input.parquet;
|
||||
|
||||
import io.druid.indexer.HadoopDruidIndexerConfig;
|
||||
import org.apache.avro.generic.GenericRecord;
|
||||
import org.apache.avro.util.Utf8;
|
||||
import org.apache.hadoop.conf.Configuration;
|
||||
import org.apache.hadoop.fs.Path;
|
||||
import org.apache.hadoop.mapreduce.InputFormat;
|
||||
import org.apache.hadoop.mapreduce.Job;
|
||||
import org.apache.hadoop.mapreduce.RecordReader;
|
||||
import org.apache.hadoop.mapreduce.TaskAttemptContext;
|
||||
import org.apache.hadoop.mapreduce.TaskAttemptID;
|
||||
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
|
||||
import org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl;
|
||||
import org.apache.hadoop.util.ReflectionUtils;
|
||||
import org.junit.Test;
|
||||
|
||||
import java.io.File;
|
||||
import java.io.IOException;
|
||||
|
||||
import static org.junit.Assert.assertEquals;
|
||||
|
||||
public class DruidParquetInputFormatTest
|
||||
{
|
||||
@Test
|
||||
public void test() throws IOException, InterruptedException
|
||||
{
|
||||
Configuration conf = new Configuration();
|
||||
Job job = Job.getInstance(conf);
|
||||
|
||||
HadoopDruidIndexerConfig config = HadoopDruidIndexerConfig.fromFile(new File(
|
||||
"example/wikipedia_hadoop_parquet_job.json"));
|
||||
|
||||
config.intoConfiguration(job);
|
||||
|
||||
File testFile = new File("example/wikipedia_list.parquet");
|
||||
Path path = new Path(testFile.getAbsoluteFile().toURI());
|
||||
FileSplit split = new FileSplit(path, 0, testFile.length(), null);
|
||||
|
||||
InputFormat inputFormat = ReflectionUtils.newInstance(DruidParquetInputFormat.class, job.getConfiguration());
|
||||
|
||||
TaskAttemptContext context = new TaskAttemptContextImpl(job.getConfiguration(), new TaskAttemptID());
|
||||
RecordReader reader = inputFormat.createRecordReader(split, context);
|
||||
|
||||
reader.initialize(split, context);
|
||||
|
||||
reader.nextKeyValue();
|
||||
|
||||
GenericRecord data = (GenericRecord) reader.getCurrentValue();
|
||||
|
||||
// field not read, should return null
|
||||
assertEquals(data.get("added"), null);
|
||||
|
||||
assertEquals(data.get("page"), new Utf8("Gypsy Danger"));
|
||||
|
||||
reader.close();
|
||||
}
|
||||
}
|
||||
1
pom.xml
1
pom.xml
|
|
@ -102,6 +102,7 @@
|
|||
<module>extensions-contrib/kafka-eight-simpleConsumer</module>
|
||||
<module>extensions-contrib/rabbitmq</module>
|
||||
<module>extensions-contrib/distinctcount</module>
|
||||
<module>extensions-contrib/parquet-extensions</module>
|
||||
|
||||
<!-- distribution packaging -->
|
||||
<module>distribution</module>
|
||||
|
|
|
|||
Loading…
Reference in New Issue