aokolnychyi commented on a change in pull request #3400:
URL: https://github.com/apache/iceberg/pull/3400#discussion_r737851888
##########
File path:
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkBatchQueryScan.java
##########
@@ -104,30 +144,100 @@
}
}
- if (splitSize != null) {
- scan = scan.option(TableProperties.SPLIT_SIZE, splitSize.toString());
+ for (Expression filter : filterExpressions()) {
+ scan = scan.filter(filter);
}
- if (splitLookback != null) {
- scan = scan.option(TableProperties.SPLIT_LOOKBACK,
splitLookback.toString());
+ try (CloseableIterable<FileScanTask> filesIterable = scan.planFiles()) {
+ this.files = Lists.newArrayList(filesIterable);
+ } catch (IOException e) {
+ throw new UncheckedIOException("Failed to close table scan: " + scan,
e);
}
+ }
- if (splitOpenFileCost != null) {
- scan = scan.option(TableProperties.SPLIT_OPEN_FILE_COST,
splitOpenFileCost.toString());
- }
+ return files;
+ }
- for (Expression filter : filterExpressions()) {
- scan = scan.filter(filter);
+ @Override
+ protected List<CombinedScanTask> tasks() {
+ if (tasks == null) {
+ CloseableIterable<FileScanTask> splitFiles = TableScanUtil.splitFiles(
+ CloseableIterable.withNoopClose(files()),
+ splitSize);
+ CloseableIterable<CombinedScanTask> scanTasks = TableScanUtil.planTasks(
+ splitFiles, splitSize,
+ splitLookback, splitOpenFileCost);
+ tasks = Lists.newArrayList(scanTasks);
+ }
+
+ return tasks;
+ }
+
+ @Override
+ public NamedReference[] filterAttributes() {
+ Set<Integer> partitionFieldSourceIds = Sets.newHashSet();
+
+ for (Integer specId : specIds()) {
+ PartitionSpec spec = table().specs().get(specId);
+ for (PartitionField field : spec.fields()) {
+ partitionFieldSourceIds.add(field.sourceId());
}
+ }
- try (CloseableIterable<CombinedScanTask> tasksIterable =
scan.planTasks()) {
- this.tasks = Lists.newArrayList(tasksIterable);
- } catch (IOException e) {
- throw new RuntimeIOException(e, "Failed to close table scan: %s",
scan);
+ Map<Integer, String> nameById =
TypeUtil.indexQuotedNameById(table().schema().asStruct());
+ return partitionFieldSourceIds.stream()
+ .filter(fieldId -> expectedSchema().findField(fieldId) != null)
+ .map(fieldId ->
org.apache.spark.sql.connector.expressions.Expressions.column(nameById.get(fieldId)))
+ .toArray(NamedReference[]::new);
+ }
+
+ @Override
+ public void filter(Filter[] filters) {
+ Expression runtimeFilterExpr = Expressions.alwaysTrue();
+
+ for (Filter filter : filters) {
+ Expression expr = SparkFilters.convert(filter);
+ if (expr != null) {
+ try {
+ Binder.bind(expectedSchema().asStruct(), expr, caseSensitive());
+ runtimeFilterExpr = Expressions.and(runtimeFilterExpr, expr);
+ } catch (ValidationException e) {
+ LOG.error("Failed to bind {} to expected schema, skipping runtime
filter", expr, e);
+ }
+ } else {
+ LOG.warn("Unsupported runtime filter {}", filter);
}
}
- return tasks;
+ if (runtimeFilterExpr != Expressions.alwaysTrue()) {
+ Map<Integer, Evaluator> evaluatorsBySpecId = Maps.newHashMap();
+
+ for (Integer specId : specIds()) {
+ PartitionSpec spec = table().specs().get(specId);
+ Expression inclusiveExpr =
Projections.inclusive(spec).project(runtimeFilterExpr);
+ Evaluator inclusive = new Evaluator(spec.partitionType(),
inclusiveExpr);
+ evaluatorsBySpecId.put(specId, inclusive);
+ }
+
+ LOG.info("Trying to filter {} files using runtime filter {}",
files().size(), runtimeFilterExpr);
+
+ List<FileScanTask> filteredFiles = files().stream()
+ .filter(file -> {
+ Evaluator evaluator = evaluatorsBySpecId.get(file.spec().specId());
+ return evaluator.eval(file.file().partition());
+ })
+ .collect(Collectors.toList());
+
+ LOG.info("{} files matched runtime filter {}", filteredFiles.size(),
runtimeFilterExpr);
Review comment:
Good idea!
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
