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CarbonData file format is a columnar store in HDFS, it has many features that a modern columnar format has, such as splittable, compression schema, complex data type etc, and CarbonData has following unique features:
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* Stores data along with index: it can significantly accelerate query performance and reduces the I/O scans and CPU resources, where there are filters in the query. CarbonData index consists of multiple level of indices, a processing framework can leverage this index to reduce the task it needs to schedule and process, and it can also do skip scan in more finer grain unit (called blocklet) in task side scanning instead of scanning the whole file.
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Or you can visit [Apache CarbonData Dev Mailing List archive](http://apache-carbondata-dev-mailing-list-archive.168.s1.nabble.com/).
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* Report issues on [Apache Jira](https://issues.apache.org/jira/browse/CARBONDATA). If you do not already have an Apache JIRA account, sign up [here](https://issues.apache.org/jira/).
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* You can also slack to get in touch with the community. After we invite you, you can use this [Slack Link](https://carbondataworkspace.slack.com/) to sign in to CarbonData.
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* Of course, you can scan the QR Code to join in our WeChat Group to get in touch.
Copy file name to clipboardexpand all lines: core/src/main/java/org/apache/carbondata/core/datastore/chunk/reader/dimension/v3/DimensionChunkReaderV3.java
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