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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 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 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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