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Upgrade to Spark 3.4.0 (#235)
Test pass done on spark 3.4.0
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.github/workflows/scala.yml

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strategy:
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matrix:
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os: [ubuntu-latest, macOS-latest]
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profile: ['spark33']
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profile: ['spark34']
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timeout-minutes: 15
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steps:

README.md

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| Spark 3.0.x compatible connector | `com.microsoft.azure:spark-mssql-connector_2.12:1.1.0` | 2.12 |
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| Spark 3.1.x compatible connector | `com.microsoft.azure:spark-mssql-connector_2.12:1.2.0` | 2.12 |
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| Spark 3.3.x compatible connector | `com.microsoft.azure:spark-mssql-connector_2.12:1.3.0` | 2.12 |
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| Spark 3.4.x compatible connector | `com.microsoft.azure:spark-mssql-connector_2.12:1.4.0` | 2.12 |
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## Current Releases
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pom.xml

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<groupId>com.microsoft.azure</groupId>
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<artifactId>spark-mssql-connector</artifactId>
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<packaging>jar</packaging>
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<version>1.3.0</version>
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<version>1.4.0</version>
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<name>${project.groupId}:${project.artifactId}</name>
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<description>The Apache Spark Connector for SQL Server and Azure SQL is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting.</description>
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<url>https://github.com/microsoft/sql-spark-connector</url>
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</build>
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<profiles>
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<profile>
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<id>spark33</id>
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<id>spark34</id>
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<activation>
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<activeByDefault>true</activeByDefault>
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</activation>
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<properties>
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<scala.binary.version>2.12</scala.binary.version>
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<scala.version>2.12.11</scala.version>
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<spark.version>3.3.0</spark.version>
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<spark.version>3.4.0</spark.version>
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</properties>
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<dependencies>
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<dependency>

test/scala_test/pom.xml

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</build>
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<profiles>
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<profile>
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<id>spark33</id>
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<id>spark34</id>
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<activation>
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<activeByDefault>true</activeByDefault>
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</activation>
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<properties>
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<scala.binary.version>2.12</scala.binary.version>
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<scala.version>2.12.11</scala.version>
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<spark.version>3.3.0</spark.version>
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<spark.version>3.4.0</spark.version>
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</properties>
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</profile>
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</profiles>

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