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Fix the Spark version in the GATK jar manifest, and used the right constant in build.gradle (#8625)
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build.gradle

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -60,7 +60,7 @@ repositories {
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final htsjdkVersion = System.getProperty('htsjdk.version','4.1.0')
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final picardVersion = System.getProperty('picard.version','3.1.1')
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final barclayVersion = System.getProperty('barclay.version','5.0.0')
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final sparkVersion = System.getProperty('spark.version', '3.3.1')
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final sparkVersion = System.getProperty('spark.version', '3.5.0')
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final hadoopVersion = System.getProperty('hadoop.version', '3.3.6')
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final disqVersion = System.getProperty('disq.version','0.3.8')
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final genomicsdbVersion = System.getProperty('genomicsdb.version','1.5.1')
@@ -298,8 +298,8 @@ dependencies {
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exclude group: 'org.apache.commons'
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}
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//there is no mllib_2.12.15:3.3.0, so stay use 2.12:3.3.0
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implementation ('org.apache.spark:spark-mllib_2.12:3.5.0') {
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// TODO: migrate to mllib_2.12.15?
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implementation ('org.apache.spark:spark-mllib_2.12:' + sparkVersion) {
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// JUL is used by Google Dataflow as the backend logger, so exclude jul-to-slf4j to avoid a loop
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exclude module: 'jul-to-slf4j'
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exclude module: 'javax.servlet'

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