org.apache.iceberg.flink.source.SourceUtil Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
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*
* http://www.apache.org/licenses/LICENSE-2.0
*
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package org.apache.iceberg.flink.source;
import java.util.function.Supplier;
import org.apache.flink.configuration.ReadableConfig;
import org.apache.flink.table.api.config.ExecutionConfigOptions;
import org.apache.iceberg.Table;
import org.apache.iceberg.flink.FlinkConfigOptions;
import org.apache.iceberg.hadoop.Util;
import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
class SourceUtil {
private SourceUtil() {}
static boolean isLocalityEnabled(
Table table, ReadableConfig readableConfig, Boolean exposeLocality) {
Boolean localityEnabled =
exposeLocality != null
? exposeLocality
: readableConfig.get(FlinkConfigOptions.TABLE_EXEC_ICEBERG_EXPOSE_SPLIT_LOCALITY_INFO);
if (localityEnabled != null && !localityEnabled) {
return false;
}
return Util.mayHaveBlockLocations(table.io(), table.location());
}
/**
* Infer source parallelism.
*
* @param readableConfig Flink config.
* @param splitCountProvider Split count supplier. As the computation may involve expensive split
* discover, lazy evaluation is performed if inferring parallelism is enabled.
* @param limitCount limited output count.
*/
static int inferParallelism(
ReadableConfig readableConfig, long limitCount, Supplier splitCountProvider) {
int parallelism =
readableConfig.get(ExecutionConfigOptions.TABLE_EXEC_RESOURCE_DEFAULT_PARALLELISM);
if (readableConfig.get(FlinkConfigOptions.TABLE_EXEC_ICEBERG_INFER_SOURCE_PARALLELISM)) {
int maxInferParallelism =
readableConfig.get(FlinkConfigOptions.TABLE_EXEC_ICEBERG_INFER_SOURCE_PARALLELISM_MAX);
Preconditions.checkState(
maxInferParallelism >= 1,
FlinkConfigOptions.TABLE_EXEC_ICEBERG_INFER_SOURCE_PARALLELISM_MAX.key()
+ " cannot be less than 1");
parallelism = Math.min(splitCountProvider.get(), maxInferParallelism);
}
if (limitCount > 0) {
int limit = limitCount >= Integer.MAX_VALUE ? Integer.MAX_VALUE : (int) limitCount;
parallelism = Math.min(parallelism, limit);
}
// parallelism must be positive.
parallelism = Math.max(1, parallelism);
return parallelism;
}
}