diff options
| -rw-r--r-- | buildscripts/cost_model/ce_data_settings.py | 24 | ||||
| -rw-r--r-- | buildscripts/cost_model/ce_generate_data.py | 16 | ||||
| -rw-r--r-- | jstests/query_golden/expected_output/load_data | 34138 | ||||
| -rw-r--r-- | jstests/query_golden/libs/data/ce_accuracy_test.data | 2204 | ||||
| -rw-r--r-- | jstests/query_golden/libs/data/ce_accuracy_test.schema | 20 |
5 files changed, 19891 insertions, 16511 deletions
diff --git a/buildscripts/cost_model/ce_data_settings.py b/buildscripts/cost_model/ce_data_settings.py index 851d6324f47..f0203930880 100644 --- a/buildscripts/cost_model/ce_data_settings.py +++ b/buildscripts/cost_model/ce_data_settings.py @@ -70,22 +70,38 @@ for int_range in int_ranges: # Mixes of distributions with different NDV and value distances -uniform_int_mix_1 = [ - int_distributions['uniform_int_1000_1'], int_distributions['uniform_int_100000_100'], +unf_int_mix_1 = [ + int_distributions['uniform_int_10000_10'], int_distributions['uniform_int_100000_100'], int_distributions['uniform_int_10000000_1000'] ] -int_distributions['mixed_int_uniform_1'] = RandomDistribution.mixed(children=uniform_int_mix_1, +int_distributions['mixed_int_uniform_1'] = RandomDistribution.mixed(children=unf_int_mix_1, weight=[1, 1, 1]) +unf_norm_int_mix_1 = [ + int_distributions['uniform_int_1000_1'], int_distributions['normal_int_100000_100'], + int_distributions['normal_int_10000000_1000'] +] +int_distributions['mixed_int_unf_norm_1'] = RandomDistribution.mixed(children=unf_norm_int_mix_1, + weight=[1, 1, 1]) + unf_norm_chi_int_mix_1 = [ int_distributions['uniform_int_10000_10'], int_distributions['uniform_int_1000000_100'], int_distributions['normal_int_10000_10'], int_distributions['normal_int_1000000_100'], int_distributions['chi2_int_10000_10'], int_distributions['chi2_int_10000000_1000'] ] - int_distributions['mixed_int_unf_norm_chi_1'] = RandomDistribution.mixed( children=unf_norm_chi_int_mix_1, weight=[1, 1, 1, 1, 1, 1]) +unf_norm_chi_int_mix_2 = [ + int_distributions['uniform_int_10000_10'], + int_distributions['normal_int_10000_10'], + int_distributions['uniform_int_1000000_100'], + int_distributions['normal_int_1000000_100'], + int_distributions['chi2_int_1000000_100'], +] +int_distributions['mixed_int_unf_norm_chi_2'] = RandomDistribution.mixed( + children=unf_norm_chi_int_mix_2, weight=[1, 1, 1, 1, 1]) + ################################################################################ # Collection templates ################################################################################ diff --git a/buildscripts/cost_model/ce_generate_data.py b/buildscripts/cost_model/ce_generate_data.py index 1883aab5c73..6e057d74e06 100644 --- a/buildscripts/cost_model/ce_generate_data.py +++ b/buildscripts/cost_model/ce_generate_data.py @@ -30,10 +30,13 @@ import asyncio import dataclasses import json +import math import os import subprocess from pathlib import Path +import seaborn as sns import bson +import matplotlib.pyplot as plt from config import CollectionTemplate, FieldTemplate, DataType from data_generator import CollectionInfo, DataGenerator from database_instance import DatabaseInstance @@ -132,6 +135,19 @@ async def main(): collections.append( dict(collectionName=name, fields=coll_template.fields, compound_indexes=coll_template.compound_indexes, cardinality=card)) + # Generate one histogram per each collection field + coll = database_instance.database[name] + doc_count = await coll.count_documents({}) + for field in coll_template.fields: + field_data = [] + async for doc in coll.find({field.name: {"$exists": True}}, + {"_id": 0, field.name: 1}): + field_data.append(doc[field.name]) + hist = sns.displot(data=field_data, kind="hist", bins=round( + math.sqrt(doc_count))).figure + hist.savefig(f'{database_config.dump_path}/{name}_{field.name}.png') + plt.close(hist) + json_metadata = json.dumps(collections, indent=4, cls=CollectionTemplateEncoder) metadata_file.write("// This is a generated file.\nconst dbMetadata = ") metadata_file.write(json_metadata) diff --git a/jstests/query_golden/expected_output/load_data b/jstests/query_golden/expected_output/load_data index 3987c8e7139..a533f3ce1dc 100644 --- a/jstests/query_golden/expected_output/load_data +++ b/jstests/query_golden/expected_output/load_data @@ -128,9 +128,19 @@ Metadata: [ "indexed" : true }, { + "fieldName" : "mixed_int_unf_norm_1", + "dataType" : "integer", + "indexed" : true + }, + { "fieldName" : "mixed_int_unf_norm_chi_1", "dataType" : "integer", "indexed" : true + }, + { + "fieldName" : "mixed_int_unf_norm_chi_2", + "dataType" : "integer", + "indexed" : true } ], "compound_indexes" : [ ], @@ -265,9 +275,19 @@ Metadata: [ "indexed" : true }, { + "fieldName" : "mixed_int_unf_norm_1", + "dataType" : "integer", + "indexed" : true + }, + { "fieldName" : "mixed_int_unf_norm_chi_1", "dataType" : "integer", "indexed" : true + }, + { + "fieldName" : "mixed_int_unf_norm_chi_2", + "dataType" : "integer", + "indexed" : true } ], "compound_indexes" : [ ], @@ -276,8 +296,8 @@ Metadata: [ ] Loading 2 collections. -Inserting collection: ce_data_1000 Inserting collection: ce_data_100 +Inserting collection: ce_data_1000 Indexing collection: ce_data_100 Indexing collection: ce_data_1000 Testing collection ce_data_100 @@ -467,9 +487,23 @@ Indexes: [ { "v" : 2, "key" : { + "mixed_int_unf_norm_1" : 1 + }, + "name" : "mixed_int_unf_norm_1_1" + }, + { + "v" : 2, + "key" : { "mixed_int_unf_norm_chi_1" : 1 }, "name" : "mixed_int_unf_norm_chi_1_1" + }, + { + "v" : 2, + "key" : { + "mixed_int_unf_norm_chi_2" : 1 + }, + "name" : "mixed_int_unf_norm_chi_2_1" } ] Expected cardinality: 100 @@ -501,574 +535,574 @@ Histogram: [jsTest] "cumulativeDistincts" : 1 [jsTest] }, [jsTest] { -[jsTest] "boundaryCount" : 1, +[jsTest] "boundaryCount" : 2, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 2, +[jsTest] "cumulativeCount" : 3, [jsTest] "cumulativeDistincts" : 2 [jsTest] }, [jsTest] { [jsTest] "boundaryCount" : 1, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 3, +[jsTest] "cumulativeCount" : 4, [jsTest] "cumulativeDistincts" : 3 [jsTest] }, [jsTest] { [jsTest] "boundaryCount" : 1, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 4, +[jsTest] "cumulativeCount" : 5, [jsTest] "cumulativeDistincts" : 4 [jsTest] }, [jsTest] { [jsTest] "boundaryCount" : 1, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 5, +[jsTest] "cumulativeCount" : 6, [jsTest] "cumulativeDistincts" : 5 [jsTest] }, [jsTest] { -[jsTest] "boundaryCount" : 1, +[jsTest] "boundaryCount" : 2, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 6, +[jsTest] "cumulativeCount" : 8, [jsTest] "cumulativeDistincts" : 6 [jsTest] }, [jsTest] { [jsTest] "boundaryCount" : 1, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 7, +[jsTest] "cumulativeCount" : 9, [jsTest] "cumulativeDistincts" : 7 [jsTest] }, [jsTest] { -[jsTest] "boundaryCount" : 1, +[jsTest] "boundaryCount" : 2, [jsTest] "rangeCount" : 0, [jsTest] "rangeDistincts" : 0, -[jsTest] "cumulativeCount" : 8, +[jsTest] "cumulativeCount" : 11, [jsTest] "cumulativeDistincts" : 8 [jsTest] }, [jsTest] { 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b/jstests/query_golden/libs/data/ce_accuracy_test.schema index fb6024be085..50fb4399433 100644 --- a/jstests/query_golden/libs/data/ce_accuracy_test.schema +++ b/jstests/query_golden/libs/data/ce_accuracy_test.schema @@ -129,9 +129,19 @@ const dbMetadata = [ "indexed": true }, { + "fieldName": "mixed_int_unf_norm_1", + "dataType": "integer", + "indexed": true + }, + { "fieldName": "mixed_int_unf_norm_chi_1", "dataType": "integer", "indexed": true + }, + { + "fieldName": "mixed_int_unf_norm_chi_2", + "dataType": "integer", + "indexed": true } ], "compound_indexes": [], @@ -266,9 +276,19 @@ const dbMetadata = [ "indexed": true }, { + "fieldName": "mixed_int_unf_norm_1", + "dataType": "integer", + "indexed": true + }, + { "fieldName": "mixed_int_unf_norm_chi_1", "dataType": "integer", "indexed": true + }, + { + "fieldName": "mixed_int_unf_norm_chi_2", + "dataType": "integer", + "indexed": true } ], "compound_indexes": [], |