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This change fixes an issue where some of the traces from the Workflow
Trace Archive would fail to load with the trace format in OpenDC. This
was caused by one of the fields being stored as a double, while the
formats expects it to be a long.
Parquet does not support unioning primitive types. Therefore, we have to
disable strict type checking when reading the file. Furthermore, we need
to support double entries for storing the workflow ids.
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This change updates the build configuration to use Spotless for code
formating of both Kotlin and Java.
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This change updates the repository to remove the use of wildcard imports
everywhere. Wildcard imports are not allowed by default by Ktlint as
well as Google's Java style guide.
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This change updates the build configuration to ignore the reload4j
dependency that was recently added to the hadoop-common module. Reload4j
replaces the old unmaintained log4j1 module.
However, since we expose this module as a library, we do not want to
include a logging implementation in the dependencies. Currently, there
are already instances where this new dependency leads to duplicate
logging implementations on the classpath.
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This change adds a re-usable test suite for the interface of the OpenDC
trace API, so implementors can verify whether they match the
specification of the interfaces.
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This change splits the command line interface from the OpenDC web runner
into a separate configuration. We plan to re-use the runner code for a Quarkus
extension that integrates the runner in development mode.
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This change removes several dependencies from the `opendc-trace-parquet`
helper module, which are part of Hadoop Common, but are not actually
used by the Parquet project.
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This change updates the Parquet support library in OpenDC to not rely on
Avro, but instead interface directly with Parquet's reading and writing
functionality, providing less overhead.
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This change updates the OpenDC VM format reader implementation to use
the low-level record reading APIs provided by the `parquet-mr` library
for improved performance. Previously, we used the `parquet-avro` library
to read/write Avro records in Parquet format, but that library carries
considerable overhead.
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This change updates the `LocalParquetReader` implementation to support
custom `ReadSupport` implementations, so we do not have to rely on the
Avro implementation necessarily.
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This change updates the Gradle build configuration to ensure that all
library modules (that will be published) use testing and are included in
coverage reports. This should ensure the public modules remain well
tested.
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This change removes the opendc-platform module from the project. This
module represented a Java platform which was previously used for sharing
a set of dependency versions between subprojects. However, with the
version catalogue that was added by Gradle, we currently do not use the
platform anymore.
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This change creates a new module for doing simulations with virtual
machine workloads. We have found that a lot of code in the Capelin
experiments code is being re-used by non-experiment modules.
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This change extracts the Parquet helpers outside format module into a
new module, in order to improve re-usability of these helpers.
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