准备数据导入相关文档的文件结构
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# 从本地文件中加载数据
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This tutorial demonstrates how to load data into Apache Druid from a file using Apache Druid's native batch ingestion feature.
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You initiate data loading in Druid by submitting an *ingestion task* spec to the Druid Overlord. You can write ingestion
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specs by hand or using the _data loader_ built into the Druid console.
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The [Quickstart](./index.md) shows you how to use the data loader to build an ingestion spec. For production environments, it's
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likely that you'll want to automate data ingestion. This tutorial starts by showing you how to submit an ingestion spec
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directly in the Druid console, and then introduces ways to ingest batch data that lend themselves to
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automation—from the command line and from a script.
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## Loading data with a spec (via console)
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The Druid package includes the following sample native batch ingestion task spec at `quickstart/tutorial/wikipedia-index.json`, shown here for convenience,
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which has been configured to read the `quickstart/tutorial/wikiticker-2015-09-12-sampled.json.gz` input file:
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```json
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{
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"type" : "index_parallel",
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"spec" : {
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"dataSchema" : {
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"dataSource" : "wikipedia",
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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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"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_parallel",
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"inputSource" : {
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"type" : "local",
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"baseDir" : "quickstart/tutorial/",
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"filter" : "wikiticker-2015-09-12-sampled.json.gz"
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},
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"inputFormat" : {
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"type": "json"
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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_parallel",
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"maxRowsPerSegment" : 5000000,
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"maxRowsInMemory" : 25000
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}
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}
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}
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```
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This spec creates a datasource named "wikipedia".
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From the Ingestion view, click the ellipses next to Tasks and choose `Submit JSON task`.
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![Tasks view add task](../assets/tutorial-batch-submit-task-01.png "Tasks view add task")
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This brings up the spec submission dialog where you can paste the spec above.
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![Query view](../assets/tutorial-batch-submit-task-02.png "Query view")
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Once the spec is submitted, wait a few moments for the data to load, after which you can query it.
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## Loading data with a spec (via command line)
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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 --url http://localhost:8081
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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:8081/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/log
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Task status: http://localhost:8081/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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Once the spec is submitted, you can follow the same instructions as above to wait for the data to load and then query it.
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## 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 apache-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:8081/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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You can monitor the status of this task from the console as outlined above.
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## Querying your data
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Once the data is loaded, please follow the [query tutorial](../tutorials/tutorial-query.md) 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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## Further reading
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For more information on loading batch data, please see [the native batch ingestion documentation](../ingestion/native-batch.md).
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## 加载本地文件
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