mccheah commented on a change in pull request #6: Support customizing the
location where data is written in Spark
URL: https://github.com/apache/incubator-iceberg/pull/6#discussion_r236869168
##########
File path:
spark/src/main/java/com/netflix/iceberg/spark/source/IcebergSource.java
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@@ -89,7 +92,11 @@ public DataSourceReader createReader(DataSourceOptions
options) {
.toUpperCase(Locale.ENGLISH));
}
- return Optional.of(new Writer(table, lazyConf(), format));
+ String dataLocation = options.get(TableProperties.WRITE_NEW_DATA_LOCATION)
+ .orElse(table.properties().getOrDefault(
+ TableProperties.WRITE_NEW_DATA_LOCATION,
+ new Path(new Path(table.location()), "data").toString()));
+ return Optional.of(new Writer(table, lazyConf(), format, dataLocation));
Review comment:
I think doing options processing from a `Map<String, String>`, inside a
constructor, is a bit of an antipattern. Consider for example writing a unit
test for this class in the future. If we pass the `Writer` constructor only a
`HashMap`, the unit test would have to construct that `HashMap` in a specific
way, i.e. knowing what key-value pairs the constructor is expecting.
Perhaps we can have a builder object that acts as a factory that accepts the
`Map` and returns the `Writer`. The `Writer` constructor accepts the builder
object and copies the set fields on the builder into its own fields.
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