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1519 lines (1299 loc) · 25.5 KB
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GET myblog2022/_search
POST myblog2022/_close
PUT myblog2022/_settings
{
"analysis": {
"analyzer": {
"myanalyzercontent":{
"type":"custom",
"tokenizer":"standard",
"char_filter":[
"html_strip",
"remplace"
],
"filter":[
"lowercase",
"myfilter"
]
},
"myanalyzertitle":{
"type":"custom",
"filter":["stop","lowercase","stemmer", "synonym","elision"],
"tokenizer":"standard"
}
},
"char_filter": {
"remplace":{
"type":"mapping",
"mappings":[
"la => llllla ",
"des => ffff",
"abc => www"
]
}
},
"filter": {
"myfilter":{
"type":"stop",
"stopwords":"_french_"
},
"synonym": {
"type": "synonym",
"lenient": true,
"synonyms": [ "open => libre ,open " ,
"coder => coder, implementer, developper"]
}
}
}
}
POST myblog2022/_open
GET myblog2022/_settings
post myblog2022/_analyze
{
"text":"C’est la rentrée de l’open source et du Hackergarten. coder",
"analyzer":"myanalyzertitle"
}
//tokinzer standar
//filter syn stemmer lowercase stopword
GET myblog2022/_mapping
POST sof01234/_doc/4
{
"cccc":"casa"
}
PUT sof01234/_mapping
{
"dynamic":"strict",
"properties": {
"adresse": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
,
"age": {
"type": "long"
},
"name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"ville":{
"type":"text"
}
}
}
GET myblog2022/_settings
PUT myblog2023/
{
"settings":{
"analysis": {
"filter": {
"myfilter": {
"type": "stop",
"stopwords": "_french_"
},
"synonym": {
"type": "synonym",
"lenient": "true",
"synonyms": [
"open => libre ,open ",
"coder => coder, implementer, developper"
]
}
},
"analyzer": {
"myanalyzercontent": {
"filter": [
"lowercase",
"myfilter"
],
"char_filter": [
"html_strip",
"remplace"
],
"type": "custom",
"tokenizer": "standard"
},
"myanalyzertitle": {
"filter": [
"stop",
"lowercase",
"stemmer",
"synonym",
"elision"
],
"type": "custom",
"tokenizer": "standard"
}
},
"char_filter": {
"remplace": {
"type": "mapping",
"mappings": [
"la => llllla ",
"des => ffff",
"abc => www"
]
}
}
}
},
"mappings": {
"properties": {
"category": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"content": {
"analyzer":"myanalyzercontent",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"creator": {
"analyzer":"keyword",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"description": {
"analyzer":"myanalyzertitle",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"pubDate": {
"type": "date"
},
"title": {
"analyzer":"myanalyzertitle",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
POST _reindex
{
"source": {
"index": "myblog2022"
},
"dest": {
"index": "myblog2025"
}
}
GET myblog2023/_search?q=description:implementer
PUT myblog2025
{
"settings": {
"analysis": {
"filter": {
"myfilter": {
"type": "stop",
"stopwords": "_french_"
},
"synonym": {
"type": "synonym",
"lenient": "true",
"synonyms": [
"open => libre ,open ",
"coder => coder, implementer, developper"
]
}
},
"analyzer": {
"myanalyzercontent": {
"filter": [
"lowercase",
"myfilter"
],
"char_filter": [
"html_strip",
"remplace"
],
"type": "custom",
"tokenizer": "standard"
},
"myanalyzertitle": {
"filter": [
"stop",
"lowercase",
"stemmer",
"synonym",
"elision"
],
"type": "custom",
"tokenizer": "standard"
}
},
"char_filter": {
"remplace": {
"type": "mapping",
"mappings": [
"la => llllla ",
"des => ffff",
"abc => www"
]
}
}
}
},
"mappings": {
"dynamic": "strict",
"properties": {
"category": {
"term_vector":"with_positions_offsets_payloads",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"content": {
"analyzer": "myanalyzercontent",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"creator": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"description": {
"analyzer": "myanalyzertitle",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
},
"pubDate": {
"type": "date"
},
"title": {
"analyzer": "myanalyzertitle",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
PUT myblog2023/_mapping
{
"properties": {
"category": {
"term_vector":"with_positions_offsets_payloads",
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
GET myblog2023/_search
{
"query": {
"term": {
"category": {
"value": "meetup"
}
}
}
}
GET myblog2023/_search
{
"query": {
"bool": {
"must": [
{
"match": {
"description": "implementer"
}
}
],
"should": [
{
"match": {
"category": "meetup"
}
},
{
"match": {
"title": "un"
}
}
]
}
}
}
GET myblog2023/_search
GET myblog2023/_search
{
"_source": ["title", "creator","category"],
"query": {
"bool": {
"must": [
{
"match": {
"creator": "Xebia France"
}
},
{
"range": {
"pubDate": {
"gte": "2016-01-20",
"lte": "2017-09-20"
}
}
}
],
"should": [
{
"match": {
"category.keyword": "DevOps"
}
}
],"boost": 10
}
}
}
GET myblog2025/_termvectors/9
GET myblog2023/_search
{
"query": {
"dis_max": {
"tie_breaker": 0.7,
"boost": 1.2,
"queries": [
{
"match": {
"title": "open"
}
},
{
"match": {
"description": "projet"
}
}
]
}
}
}
GET bank2022/_search
GET bank2022/_mapping
GET bank2022/_search
{
"query": {
"bool": {
"must_not": [
{
"range": {
"operations.amount": {
"lt": 200
}
}
}
]
}
}
}
GET bank2022/_search
{
"query": {
"bool": {
"must_not": [
{
"range": {
"operations.amount": {
"lte": 200
}
}
},
{
"term": {
"operations.type": {
"value": "cridit"
}
}
}
]
}
}
}
GET bank2022/_search
{
"size": 0,
"query": {
"term": {
"gender": {
"value": "male"
}
}
},
"aggs": {
"moysold": {
"avg": {
"field": "balance"
}
},
"maxamount":{
"max": {
"field": "operations.amount"
}
},
"minage":{
"min": {
"field": "age"
}
},
"countop":{
"value_count": {
"field": "operations.type.keyword"
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"bygender": {
"terms": {
"field": "gender.keyword"
},
"aggs": {
"byage":{
"range": {
"field": "age",
"ranges": [
{
"from": 16,
"to": 22
},
{
"from": 23,
"to": 30
},
{ "from": 31}
]
}
}
}
}
}
}
//recuperer des stats par apport au gender
//recuperer des stats sur les amount des operations par gender et par tranche d'age
GET bank2022/_search
{
"size": 0,
"aggs": {
"bygender": {
"terms": {
"field": "gender.keyword",
"size": 10
},"aggs": {
"byage": {
"histogram": {
"field": "age",
"interval": 10
},"aggs": {
"sts": {
"stats": {
"field": "operations.amount"
}
}
}
}
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"bymois": {
"date_histogram": {
"keyed": true,
"field": "operations.operationDate",
"calendar_interval": "1M"
},"aggs": {
"moy": {
"avg": {
"field": "operations.amount"
}
}
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"bymois": {
"date_range": {
"keyed": true,
"field": "operations.operationDate",
"ranges": [
{
"from": "2014-03-01",
"to": "2016-03-01",
"key": "old"
},
{
"from": "2017-03-01",
"to": "2021-03-01",
"key": "new"
}
]
},"aggs": {
"moy": {
"avg": {
"field": "operations.amount"
}
}
}
}
}
}
Récupérer les opérations des comptes par trimestre de l’année 2015
Apres regrouper par gendre
Repartir les données par deux tranches d'Age (mineur et majeur)
GET bank2022/_search
{
"size": 0,
"aggs": {
"bytrimetstre": {
"date_range": {
"field": "operations.operationDate",
"keyed": true,
"ranges": [
{
"from": "2015-01-01",
"to": "2015-03-31",
"key": "trimistre1"
},
{
"from": "2015-04-01",
"to": "2015-06-30",
"key": "trimistre2"
}
]
},
"aggs": {
"bygender": {
"terms": {
"field": "gender.keyword"
},
"aggs": {
"byage": {
"histogram": {
"field": "age",
"interval": 20
}
}
}
}
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"bytrimetstre": {
"date_range": {
"field": "operations.operationDate",
"keyed": true,
"ranges": [
{
"from": "2015-01-01",
"to": "2015-03-31",
"key": "trimistre1"
},
{
"from": "2015-04-01",
"to": "2015-06-30",
"key": "trimistre2"
}
]
},
"aggs": {
"bygender": {
"terms": {
"field": "gender.keyword"
}
},
"byage": {
"histogram": {
"field": "age",
"interval": 20
}
}
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"NAME": {
"composite": {
"sources": [
{
"byx": {
"terms": {
"field": "gender.keyword"
}
}
},
{
"byy":{
"histogram": {
"field": "age",
"interval": 10
}
}
},
{
"byz":{
"date_histogram": {
"field": "operations.operationDate",
"calendar_interval": "year"
}
}
}
]
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"NAME": {
"terms": {
"field": "gender.keyword",
"size": 10
},"aggs": {
"NAME": {
"histogram": {
"field": "age",
"interval": 10
}
}
}
}
}
}
GET kibana_sample_data_logs/_search
{
"query": {
"bool": {
"must_not": [
{
"match": {
"response": "200"
}
}
]
}
}
}
GET bank2022/_search
{
"size": 0,
"query": {
"term": {
"gender.keyword": {
"value": "female"
}
}
},"aggs": {
"moy": {
"avg": {
"field": "age"
}
}
}
}
GET bank2022/_search
{
"size": 0,
"aggs": {
"femme": {
"filter": {
"term": {
"gender.keyword": "female"
}
},"aggs": {
"moy": {
"avg": {
"field": "age"
}
}
}
}
}
}
Calculer la moyenne mobile de
La somme des amounts des opérations
pour chaque mois
GET bank2022/_search?size=0
{
"aggs": {
"bymois": {
"date_histogram": {
"field": "operations.operationDate",
"calendar_interval": "month"
},
"aggs": {
"som": {
"sum": {
"field": "operations.amount"
}
},
"moy_mob":{
"avg_bucket": {
"buckets_path": "som"
}
}
}
}
}
}
//pourcentage des des ages des femmes
somme des ages totale (agg)
somme des ages des femmes (agg)
division
GET bank2022/_search?size=0
{
"aggs": {
"histo": {
"date_histogram": {
"field": "operations.operationDate",
"calendar_interval": "1y"
},
"aggs": {
"totale": {
"sum": {
"field": "age"
}
},
"f":{
"filter": {
"term": {
"gender.keyword": "female"
}
},
"aggs":
{
"sf": {
"sum": {
"field": "age"
}
}
}