Richard Marscher created SPARK-15786:
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Summary: Spark SQL - joinWith bytecode generation calling
ByteBuffer.wrap with InternalRow
Key: SPARK-15786
URL: https://issues.apache.org/jira/browse/SPARK-15786
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.6.1, 2.0.0
Reporter: Richard Marscher
{code}java.lang.RuntimeException: Error while decoding:
java.util.concurrent.ExecutionException: java.lang.Exception: failed to
compile: org.codehaus.commons.compiler.CompileException: File 'generated.java',
Line 36, Column 107: No applicable constructor/method found for actual
parameters "org.apache.spark.sql.catalyst.InternalRow"; candidates are: "public
static java.nio.ByteBuffer java.nio.ByteBuffer.wrap(byte[])", "public static
java.nio.ByteBuffer java.nio.ByteBuffer.wrap(byte[], int, int)"{code}
I have been trying to use joinWith along with Option data types to get an
approximation of the RDD semantics for outer joins with Dataset to have a nicer
API for Scala. However, using the Dataset.as[] syntax leads to bytecode
generation trying to pass an InternalRow object into the ByteBuffer.wrap
function which expects byte[] with or without a couple int qualifiers.
I have a notebook reproducing this against 2.0 preview in Databricks Community
Edition:
https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/160347920874755/1039589581260901/673639177603143/latest.html
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