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abris add installation documentation #356

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41 changes: 36 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -23,12 +23,12 @@

## Supported versions

| Abris | Spark | Scala |
|:-----: |:-----: |:-----: |
| 6.2.0 - 6.x.x | 3.2.1 - 3.2.x | 2.12 / 2.13 |
| 6.0.0 - 6.1.1 | 3.2.0 | 2.12 / 2.13 |
| Abris | Spark | Scala |
|:-----: |:-------------:|:-----: |
| 6.2.0 - 6.x.x | 3.2.1 - 3.5.x | 2.12 / 2.13 |
| 6.0.0 - 6.1.1 | 3.2.0 | 2.12 / 2.13 |
| 5.0.0 - 5.x.x | 3.0.x / 3.1.x | 2.12 |
| 5.0.0 - 5.x.x | 2.4.x | 2.11 / 2.12 |
| 5.0.0 - 5.x.x | 2.4.x | 2.11 / 2.12 |

From version 6.0.0, ABRiS only supports Spark 3.2.x.

Expand All @@ -43,6 +43,37 @@ This is documentation for Abris **version 6**. Documentation for older versions
## Confluent Schema Registry Version
Abris by default uses Confluent client version 6.2.0.

## Installation
Abris needs `spark-avro` to run, make sure you include the `spark-avro` dependency when using Abris.
The version of `spark-avro` and `Spark` should be identical.

Example: submitting a Spark job:
```
./bin/spark-submit \
--packages org.apache.spark:spark-avro_2.12:3.5.0,za.co.absa:abris_2.12:6.2.0 \
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Suggested change
--packages org.apache.spark:spark-avro_2.12:3.5.0,za.co.absa:abris_2.12:6.2.0 \
--packages org.apache.spark:spark-avro_2.12:3.5.0,za.co.absa:abris_2.12:6.4.0 \

...rest of submit params...
```

Example: using Abris in maven project:
```xml
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>3.5.0</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-avro_2.12</artifactId>
<version>3.5.0</version> <!-- version must be the same as Spark -->
</dependency>
<dependency>
<groupId>za.co.absa</groupId>
<artifactId>abris_2.12</artifactId>
<version>6.4.0</version>
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I would also add an exclusion here, just to be sure

</dependency>
```
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Maybe you could also add documentation for sbt


## Usage

ABRiS API is in it's most basic form almost identical to Spark built-in support for Avro, but it provides additional functionality.
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