Sam Halliday created PARQUET-1953:
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Summary: hadoop-common is not an optional dependency
Key: PARQUET-1953
URL: https://issues.apache.org/jira/browse/PARQUET-1953
Project: Parquet
Issue Type: Bug
Reporter: Sam Halliday
parquet-hadoop provides the only mechanism to road .parquet files and has an
optional (provided) dependency on hadoop-common, implying that it is possible
to use parquet-hadoop without using hadoop. However, it is required.
The following code is needed to instantiate a ParquetFileReader
{code}
final class LocalInputFile(file: File) extends InputFile {
def getLength() = file.length()
def newStream(): SeekableInputStream = {
val input = new FileInputStream(file)
new DelegatingSeekableInputStream(input) {
def getPos(): Long = input.getChannel().position()
def seek(bs: Long): Unit = {
val _ = input.getChannel().position(bs)
}
}
}
}
{code}
but using this leads to a runtime exception because hadoop is missing
transitive dependency on org.apache.hadoop.fs.PathFilter which then depends on
org.apache.hadoop.fs.Path, both in hadoop-common.
Requiring downstream users to depend on hadoop-common is an extremely large
dependency and I would rather that this was not the case.
A search for "import org.apache.hadoop" in src/main reveals a few more places
where the dependency is hardwired, although often in deprecated static
constructors and therefore benign.
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