mirror of https://github.com/apache/druid.git
96 lines
3.9 KiB
Markdown
96 lines
3.9 KiB
Markdown
---
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layout: doc_page
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---
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# insert-segment-to-db Tool
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`insert-segment-to-db` is a tool that can insert segments into Druid metadata storage. It is intended to be used
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to update the segment table in metadata storage after people manually migrate segments from one place to another.
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It can also be used to insert missing segment into Druid, or even recover metadata storage by telling it where the
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segments are stored.
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Note: This tool expects users to have Druid cluster running in a "safe" mode, where there are no active tasks to interfere
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the segments being inserted. Users can optionally bring down the cluster to make 100% sure nothing is interfering.
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In order to make it work, user will have to provide metadata storage credentials and deep storage type through Java JVM argument
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or runtime.properties file. Specifically, this tool needs to know
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`druid.metadata.storage.type`
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`druid.metadata.storage.connector.connectURI`
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`druid.metadata.storage.connector.user`
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`druid.metadata.storage.connector.password`
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`druid.storage.type`
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Besides the properties above, you also need to specify the location where the segments are stored and whether you want to
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update descriptor.json. These two can be provided through command line arguments.
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`--workingDir` (Required)
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The directory URI where segments are stored. This tool will recursively look for segments underneath this directory
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and insert/update these segments in metdata storage.
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Attention: workingDir must be a complete URI, which means it must be prefixed with scheme type. For example,
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hdfs://hostname:port/segment_directory
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`--updateDescriptor` (Optional)
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if set to true, this tool will update `loadSpec` field in `descriptor.json` if the path in `loadSpec` is different from
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where `desciptor.json` was found. Default value is `true`.
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Note: you will also need to load different Druid extensions per the metadata and deep storage you use. For example, if you
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use `mysql` as metadata storage and `HDFS` as deep storage, you should load `mysql-metadata-storage` and `druid-hdfs-storage`
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extensions.
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Example:
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Suppose your metadata storage is `mysql` and you've migrated some segments to a directory in HDFS, and that directory looks
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like this,
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```
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Directory path: /druid/storage/wikipedia
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├── 2013-08-31T000000.000Z_2013-09-01T000000.000Z
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│ └── 2015-10-21T22_07_57.074Z
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│ └── 0
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│ ├── descriptor.json
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│ └── index.zip
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├── 2013-09-01T000000.000Z_2013-09-02T000000.000Z
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│ └── 2015-10-21T22_07_57.074Z
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│ └── 0
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│ ├── descriptor.json
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│ └── index.zip
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├── 2013-09-02T000000.000Z_2013-09-03T000000.000Z
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│ └── 2015-10-21T22_07_57.074Z
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│ └── 0
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│ ├── descriptor.json
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│ └── index.zip
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└── 2013-09-03T000000.000Z_2013-09-04T000000.000Z
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└── 2015-10-21T22_07_57.074Z
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└── 0
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├── descriptor.json
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└── index.zip
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```
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To load all these segments into `mysql`, you can fire the command below,
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```
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java
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-Ddruid.metadata.storage.type=mysql
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-Ddruid.metadata.storage.connector.connectURI=jdbc\:mysql\://localhost\:3306/druid
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-Ddruid.metadata.storage.connector.user=druid
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-Ddruid.metadata.storage.connector.password=diurd
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-Ddruid.extensions.loadList=[\"mysql-metadata-storage\",\"druid-hdfs-storage\"]
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-Ddruid.storage.type=hdfs
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-cp $DRUID_CLASSPATH
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io.druid.cli.Main tools insert-segment --workingDir hdfs://host:port//druid/storage/wikipedia --updateDescriptor true
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```
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In this example, `mysql` and deep storage type are provided through Java JVM arguments, you can optionally put all
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of them in a runtime.properites file and include it in the Druid classpath. Note that we also include `mysql-metadata-storage`
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and `druid-hdfs-storage` in the extension list.
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After running this command, the segments table in `mysql` should store the new location for each segment we just inserted.
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