mirror of https://github.com/apache/druid.git
160 lines
5.6 KiB
Markdown
160 lines
5.6 KiB
Markdown
---
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layout: doc_page
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---
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# Tutorial: Loading a file
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## Getting started
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This tutorial demonstrates how to perform a batch file load, using Druid's native batch ingestion.
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For this tutorial, we'll assume you've already downloaded Druid as described in
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the [single-machine quickstart](index.html) and have it running on your local machine. You
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don't need to have loaded any data yet.
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## Preparing the data and the ingestion task spec
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A data load is initiated by submitting an *ingestion task* spec to the Druid overlord. For this tutorial, we'll be loading the sample Wikipedia page edits data.
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The Druid package includes the following sample native batch ingestion task spec at `quickstart/wikipedia-index.json`, shown here for convenience,
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which has been configured to read the `quickstart/wikiticker-2015-09-12-sampled.json.gz` input file:
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```json
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{
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"type" : "index",
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"spec" : {
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"dataSchema" : {
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"dataSource" : "wikipedia",
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"parser" : {
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"type" : "string",
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"parseSpec" : {
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"format" : "json",
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"dimensionsSpec" : {
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"dimensions" : [
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"channel",
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"cityName",
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"comment",
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"countryIsoCode",
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"countryName",
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"isAnonymous",
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"isMinor",
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"isNew",
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"isRobot",
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"isUnpatrolled",
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"metroCode",
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"namespace",
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"page",
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"regionIsoCode",
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"regionName",
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"user",
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{ "name": "added", "type": "long" },
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{ "name": "deleted", "type": "long" },
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{ "name": "delta", "type": "long" }
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]
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},
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"timestampSpec": {
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"column": "time",
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"format": "iso"
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}
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}
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},
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"metricsSpec" : [],
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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" : ["2015-09-12/2015-09-13"],
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"rollup" : false
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}
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},
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"ioConfig" : {
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"type" : "index",
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"firehose" : {
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"type" : "local",
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"baseDir" : "quickstart/",
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"filter" : "wikiticker-2015-09-12-sampled.json.gz"
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},
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"appendToExisting" : false
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},
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"tuningConfig" : {
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"type" : "index",
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"targetPartitionSize" : 5000000,
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"maxRowsInMemory" : 25000,
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"forceExtendableShardSpecs" : true
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}
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}
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}
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```
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This spec will create a datasource named "wikipedia",
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## Load batch data
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We've included a sample of Wikipedia edits from September 12, 2015 to get you started.
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To load this data into Druid, you can submit an *ingestion task* pointing to the file. We've included
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a task that loads the `wikiticker-2015-09-12-sampled.json.gz` file included in the archive.
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For convenience, the Druid package includes a batch ingestion helper script at `bin/post-index-task`.
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This script will POST an ingestion task to the Druid overlord and poll Druid until the data is available for querying.
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Run the following command from Druid package root:
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```bash
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bin/post-index-task --file quickstart/tutorial/wikipedia-index.json
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```
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You should see output like the following:
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```bash
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Beginning indexing data for wikipedia
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Task started: index_wikipedia_2018-07-27T06:37:44.323Z
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Task log: http://localhost:8090/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/log
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Task status: http://localhost:8090/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/status
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Task index_wikipedia_2018-07-27T06:37:44.323Z still running...
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Task index_wikipedia_2018-07-27T06:37:44.323Z still running...
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Task finished with status: SUCCESS
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Completed indexing data for wikipedia. Now loading indexed data onto the cluster...
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wikipedia loading complete! You may now query your data
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```
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## Querying your data
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Once the data is loaded, please follow the [query tutorial](../tutorials/tutorial-query.html) to run some example queries on the newly loaded data.
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## Cleanup
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If you wish to go through any of the other ingestion tutorials, you will need to shut down the cluster and reset the cluster state by removing the contents of the `var` directory under the druid package, as the other tutorials will write to the same "wikipedia" datasource.
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## Extra: Loading data without the script
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Let's briefly discuss how we would've submitted the ingestion task without using the script. You do not need to run these commands.
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To submit the task, POST it to Druid in a new terminal window from the druid-#{DRUIDVERSION} directory:
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```bash
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curl -X 'POST' -H 'Content-Type:application/json' -d @quickstart/tutorial/wikipedia-index.json http://localhost:8090/druid/indexer/v1/task
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```
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Which will print the ID of the task if the submission was successful:
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```bash
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{"task":"index_wikipedia_2018-06-09T21:30:32.802Z"}
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```
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To view the status of the ingestion task, go to the overlord console:
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[http://localhost:8090/console.html](http://localhost:8090/console.html). You can refresh the console periodically, and after
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the task is successful, you should see a "SUCCESS" status for the task.
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After the ingestion task finishes, the data will be loaded by historical nodes and available for
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querying within a minute or two. You can monitor the progress of loading the data in the
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coordinator console, by checking whether there is a datasource "wikipedia" with a blue circle
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indicating "fully available": [http://localhost:8081/#/](http://localhost:8081/#/).
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## Further reading
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For more information on loading batch data, please see [the batch ingestion documentation](../ingestion/batch-ingestion.html).
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