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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.iterator.flatMap { key => | ||
| defaultNativeMetricCreators.get(key).map(f => key -> f(sc)) | ||
| } | ||
| metrics | ||
| } | ||
|
|
||
| private def getDefaultNativeFileMetrics(sc: SparkContext): Map[String, SQLMetric] = { | ||
|
|
@@ -233,7 +245,8 @@ object NativeHelper extends Logging { | |
| } | ||
|
|
||
| def getNativeFileScanMetrics(sc: SparkContext): Map[String, SQLMetric] = TreeMap( | ||
| getDefaultNativeMetrics(sc) | ||
| .filterKeys(Set("stage_id", "output_rows", "elapsed_compute")) | ||
| .toSeq ++ getDefaultNativeFileMetrics(sc).toSeq: _*) | ||
| getDefaultNativeMetrics( | ||
| sc, | ||
| Set("stage_id", "output_rows", "elapsed_compute")).toSeq ++ getDefaultNativeFileMetrics( | ||
| sc).toSeq: _*) | ||
|
Comment on lines
247
to
+251
|
||
| } | ||
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