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[AURON #1985] Optimize native metrics retrieval by passing keys directly #1982
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| Original file line number | Diff line number | Diff line change | ||||
|---|---|---|---|---|---|---|
|
|
@@ -167,38 +167,50 @@ object NativeHelper extends Logging { | |||||
| }) | ||||||
| } | ||||||
|
|
||||||
| def getDefaultNativeMetrics(sc: SparkContext): Map[String, SQLMetric] = { | ||||||
| def metric(name: String) = SQLMetrics.createMetric(sc, name) | ||||||
| def nanoTimingMetric(name: String) = SQLMetrics.createNanoTimingMetric(sc, name) | ||||||
| def sizeMetric(name: String) = SQLMetrics.createSizeMetric(sc, name) | ||||||
|
|
||||||
| var metrics = TreeMap( | ||||||
| "stage_id" -> metric("stageId"), | ||||||
| "output_rows" -> metric("Native.output_rows"), | ||||||
| "output_batches" -> metric("Native.output_batches"), | ||||||
| "elapsed_compute" -> nanoTimingMetric("Native.elapsed_compute"), | ||||||
| "build_hash_map_time" -> nanoTimingMetric("Native.build_hash_map_time"), | ||||||
| "probed_side_hash_time" -> nanoTimingMetric("Native.probed_side_hash_time"), | ||||||
| "probed_side_search_time" -> nanoTimingMetric("Native.probed_side_search_time"), | ||||||
| "probed_side_compare_time" -> nanoTimingMetric("Native.probed_side_compare_time"), | ||||||
| "build_output_time" -> nanoTimingMetric("Native.build_output_time"), | ||||||
| "fallback_sort_merge_join_time" -> nanoTimingMetric("Native.fallback_sort_merge_join_time"), | ||||||
| "mem_spill_count" -> metric("Native.mem_spill_count"), | ||||||
| "mem_spill_size" -> sizeMetric("Native.mem_spill_size"), | ||||||
| "mem_spill_iotime" -> nanoTimingMetric("Native.mem_spill_iotime"), | ||||||
| "disk_spill_size" -> sizeMetric("Native.disk_spill_size"), | ||||||
| "disk_spill_iotime" -> nanoTimingMetric("Native.disk_spill_iotime"), | ||||||
| "shuffle_write_total_time" -> nanoTimingMetric("Native.shuffle_write_total_time"), | ||||||
| "shuffle_read_total_time" -> nanoTimingMetric("Native.shuffle_read_total_time")) | ||||||
|
|
||||||
| if (AuronAdaptor.getInstance.getAuronConfiguration.getBoolean( | ||||||
| SparkAuronConfiguration.INPUT_BATCH_STATISTICS_ENABLE)) { | ||||||
| metrics ++= TreeMap( | ||||||
| "input_batch_count" -> metric("Native.input_batches"), | ||||||
| "input_row_count" -> metric("Native.input_rows"), | ||||||
| "input_batch_mem_size" -> sizeMetric("Native.input_mem_bytes")) | ||||||
| private val defaultNativeMetricCreators: Map[String, SparkContext => SQLMetric] = Map( | ||||||
| "stage_id" -> (sc => SQLMetrics.createMetric(sc, "stageId")), | ||||||
| "output_rows" -> (sc => SQLMetrics.createMetric(sc, "Native.output_rows")), | ||||||
| "output_batches" -> (sc => SQLMetrics.createMetric(sc, "Native.output_batches")), | ||||||
| "elapsed_compute" -> (sc => SQLMetrics.createNanoTimingMetric(sc, "Native.elapsed_compute")), | ||||||
| "build_hash_map_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.build_hash_map_time")), | ||||||
| "probed_side_hash_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.probed_side_hash_time")), | ||||||
| "probed_side_search_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.probed_side_search_time")), | ||||||
| "probed_side_compare_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.probed_side_compare_time")), | ||||||
| "build_output_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.build_output_time")), | ||||||
| "fallback_sort_merge_join_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.fallback_sort_merge_join_time")), | ||||||
| "mem_spill_count" -> (sc => SQLMetrics.createMetric(sc, "Native.mem_spill_count")), | ||||||
| "mem_spill_size" -> (sc => SQLMetrics.createSizeMetric(sc, "Native.mem_spill_size")), | ||||||
| "mem_spill_iotime" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.mem_spill_iotime")), | ||||||
| "disk_spill_size" -> (sc => SQLMetrics.createSizeMetric(sc, "Native.disk_spill_size")), | ||||||
| "disk_spill_iotime" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.disk_spill_iotime")), | ||||||
| "shuffle_write_total_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.shuffle_write_total_time")), | ||||||
| "shuffle_read_total_time" -> (sc => | ||||||
| SQLMetrics.createNanoTimingMetric(sc, "Native.shuffle_read_total_time")), | ||||||
| "input_batch_count" -> (sc => SQLMetrics.createMetric(sc, "Native.input_batches")), | ||||||
| "input_row_count" -> (sc => SQLMetrics.createMetric(sc, "Native.input_rows")), | ||||||
| "input_batch_mem_size" -> (sc => SQLMetrics.createSizeMetric(sc, "Native.input_mem_bytes"))) | ||||||
|
|
||||||
| def getDefaultNativeMetrics(sc: SparkContext, keys: Set[String]): Map[String, SQLMetric] = { | ||||||
| val enabledKeys = | ||||||
| if (AuronAdaptor.getInstance.getAuronConfiguration.getBoolean( | ||||||
| SparkAuronConfiguration.INPUT_BATCH_STATISTICS_ENABLE)) { | ||||||
| keys | ||||||
| } else { | ||||||
| keys -- Set("input_batch_count", "input_row_count", "input_batch_mem_size") | ||||||
| } | ||||||
|
|
||||||
| TreeMap[String, SQLMetric]() ++ enabledKeys.flatMap { key => | ||||||
|
||||||
| TreeMap[String, SQLMetric]() ++ enabledKeys.flatMap { key => | |
| TreeMap[String, SQLMetric]() ++ enabledKeys.iterator.flatMap { key => |
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Changing
getDefaultNativeMetricsfrom a 1-arg method to a 2-arg method is a source/binary breaking change for any downstream code compiled against this module. If this object is part of a published API surface, consider keeping an overloadedgetDefaultNativeMetrics(sc: SparkContext)(possibly deprecated) that delegates to the new implementation with the full default key set.