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Id in schema when reading from Accumulo #29
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* use local classloader * try different class loader * add println * add hack for zfs in jimfs * Update MLeapUtil.scala Try to add classloader... * forcefully instantiate zip filesystem provider to overcome scala/spark behavior * imported OpenJDK ZipFileSystem to overcome JDK dependency * JDK 8 compat * more JDK 8 compat * more JDK 8 compat * switched to packaged zipfs for iterator * updated copyright notice as per CELA guidance * don't re-use the zip file system * added README for zipfs origin * added debug print * switch to log4j logging * implemented mleap dataframe caching * added log4j logging added perf metrics * changed the groupId to com.microsoft.masc * package rename * renamed to com.microsoft.accumulo introduce guava based cache for MLeap model try to fix column pruning * fixed datasource schema passing * fixed issue #27 * re-added accumulo client to datasource jar * removed accumulo-core from iterator shaded jar * added MLeap guid to support fast cache lookup * fix MLeap model caching * don't add empty splits (resulting in duplicate records) * fixing #29 (duplicate rowkey column in schema)
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If "id" is part of the schema, then
spark.read.format("com.microsoft.accumulo").options(props.asScala).schema(schema).loadfails with an error.The text was updated successfully, but these errors were encountered: