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J’et aan je rekker met
Elasticsearch
Deur Thijs Feryn
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‘k Goan ’t in 1 slide
uutleg’n
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•Full-text zoek database
•NoSQL database
•Analytics engine
•Geschreven in Java
•Lucene gebaseerd ( ~Solr)
•Omgekeerde indices
•Gemakkelijk vo te Schaaln
(~Elastic)
•RESTFul interface (HTTP/JSON)
•Schemaloos
•Real-time (subiet & direct)
•Den ELK hoop
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Zie ‘j nog mee?
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keireltjes
Thijs
Yo
Ik zien
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En ik zien
@ThijsFeryn
ip Twitter
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’k Zien
bie
Evangelist
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En ’k zitt’n
van
ook in ’t besteur
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’k Weunen in Diksmude
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Aan de Pluum’n
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Juuste niet bachten de Kupe
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https://www.elastic.co/
downloads/elasticsearch
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{
"status" : 200,
"name" : "War V",
"cluster_name" : "elasticsearch",
"version" : {
"number" : "1.5.2",
"build_hash" :
"62ff9868b4c8a0c45860bebb259e21980778ab1c",
"build_timestamp" : "2015-‐04-‐27T09:21:06Z",
"build_snapshot" : false,
"lucene_version" : "4.10.4"
},
"tagline" : "You Know, for Search"
}
http://localhost:9200
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RDBMS Elasticsearch
Database
Table
Row
Index
Type
Document
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POST /my-‐index
{"acknowledged":true}
POST/my-‐index/my-‐type
{
"key" : "value",
"date" : "2015-‐05-‐10",
"counter" : 1,
"tags" : ["tag1","tag2","tag3"]
}
{
"_index": "my-‐index",
"_type": "my-‐type",
"_id": "AU089olr9oI99a_rK9fi",
"_version": 1,
"created": true
}
CREATE DATABASE my-‐index
INSERT INTO my-‐index.my-‐type (key,date,counter,tags)
VALUES ("value","2015-‐05-‐10",1,"tag1,tag2,tag3")
Bevestigienge
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BAFFE !
We zien vertrok’n
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GET/my-‐index/my-‐type/AU089olr9oI99a_rK9fi?pretty
{
"_index": "my-‐index",
"_type": "my-‐type",
"_id": "AU089olr9oI99a_rK9fi",
"_version": 1,
"found": true,
"_source": {
"key": "value",
"date": "2015-‐05-‐10",
"counter": 1,
"tags": [
"tag1",
"tag2",
"tag3"
]
}
}
Document
iphaaln ip ID
Document &
meta data
SELECT *
FROM my-‐index.my-‐type
WHERE
id="AU089olr9oI99a_rK9fi"
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GET /my-‐index/_mapping?pretty
{
"my-‐index": {
"mappings": {
"my-‐type": {
"properties": {
"counter": {
"type": "long"
},
"date": {
"type": "date",
"format": "dateOptionalTime"
},
"key": {
"type": "string"
},
"tags": {
"type": "string"
}
}
}
}
}
}
Schemaloos?
Nie echt wi …
“Smiet
met ze
klakke” voe
de mapping
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Expliciete mappinge
… met echte gegevens
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mysql> desc catalog_product_flat_1;
+-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐+
| Field | Type | Null | Key | Default | Extra |
+-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐-‐-‐+-‐-‐-‐-‐-‐-‐-‐+
| entity_id | int(10) unsigned | NO | PRI | NULL | |
| attribute_set_id | smallint(5) unsigned | NO | MUL | 0 | |
| type_id | varchar(32) | NO | MUL | simple | |
| allow_open_amount | int(11) | YES | | NULL | |
| cost | decimal(12,4) | YES | | NULL | |
| created_at | timestamp | YES | | NULL | |
| email_template | varchar(255) | YES | | NULL | |
| enable_googlecheckout | smallint(6) | YES | | NULL | |
| giftcard_amounts | decimal(12,4) | YES | | NULL | |
| giftcard_type | smallint(5) unsigned | YES | | NULL | |
| gift_message_available | smallint(6) | YES | | NULL | |
| gift_wrapping_available | smallint(6) | YES | | NULL | |
| gift_wrapping_price | decimal(12,4) | YES | | NULL | |
| has_options | smallint(6) | NO | | 0 | |
| image_label | varchar(255) | YES | | NULL | |
| is_recurring | smallint(6) | YES | | NULL | |
| is_redeemable | int(11) | YES | | NULL | |
| lifetime | int(11) | YES | | NULL | |
| links_exist | int(11) | YES | | NULL | |
| links_purchased_separately | int(11) | YES | | NULL | |
| links_title | varchar(255) | YES | | NULL | |
| msrp | decimal(12,4) | YES | | NULL | |
| msrp_display_actual_price_type | varchar(255) | YES | | NULL | |
| msrp_enabled | smallint(6) | YES | | NULL | |
| name | varchar(255) | YES | MUL | NULL | |
| news_from_date | datetime | YES | | NULL | |
| news_to_date | datetime | YES | | NULL | |
| open_amount_max | decimal(12,4) | YES | | NULL | |
| open_amount_min | decimal(12,4) | YES | | NULL | |
| price | decimal(12,4) | YES | MUL | NULL | |
| price_type | int(11) | YES | | NULL | |
| price_view | int(11) | YES | | NULL | |
| recurring_profile | text | YES | | NULL | |
| required_options | smallint(5) unsigned | NO | | 0 | |
| shipment_type | int(11) | YES | | NULL | |
| short_description | text | YES | | NULL | |
| sku | varchar(64) | YES | | NULL | |
| sku_type | int(11) | YES | | NULL | |
| small_image | varchar(255) | YES | | NULL | |
| small_image_label | varchar(255) | YES | | NULL | |
Magento’s
flattened product
table
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Data importeren
van MySQL nor
ElasticSearch
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{
"category": [
"Default Category",
"Men",
"Shirts"
],
"entity_id": "231",
"created_at": "2013-‐03-‐05 06:48:12",
"updated_at": "2013-‐03-‐05 09:27:15",
"name": "French Cuff Cotton Twill Oxford",
"price": "190.0000",
"description": "Made with wrinkle resistant cotton twill, this French-‐cuffed
luxury dress shirt is perfect for Business Class frequent flyers.",
"sku": "msj000"
}
SELECT GROUP_CONCAT(distinct c.name) as category,p.entity_id, p.created_at,
p.updated_at, p.name, p.price, p.short_description as description,p.sku
FROM catalog_product_flat_1 p
JOIN `catalog_category_product_index` AS `cat_index` ON
cat_index.product_id=p.entity_id
JOIN `catalog_category_flat_store_1` AS `c` ON
cat_index.category_id=c.entity_id
WHERE cat_index.store_id = 1 AND cat_index.visibility=1
GROUP BY p.name
ORDER BY p.entity_id
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POST /products
{
"mappings": {
"product" : {
"_id" : {
"path" : "entity_id"
},
"properties" : {
"entity_id" : {"type" : "integer"},
"name" : {
"type" : "string",
"index" : "not_analyzed",
"fields" : {
"raw" : {
"type" : "string",
"analyzer": "english"
}
}
},
"description" : {
"type" : "string",
"index" : "not_analyzed",
"fields" : {
"raw" : {
"type" : "string",
"analyzer": "english"
}
}
},
"price" : {"type" : "double"},
"sku" : {"type" : "string", "index" : "not_analyzed"},
"created_at" : {"type" : "date", "format" : "YYYY-‐MM-‐dd HH:mm:ss"},
"updated_at" : {"type" : "date", "format" : "YYYY-‐MM-‐dd HH:mm:ss"} ,
"category" : {
"type" : "string",
"index" : "not_analyzed"
}
}
}
}
}
Expliciete
mapping bie ’t
maken van de
index
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"entity_id" : {"type" : "integer"},
"name" : {
"type" : "string",
"index" : "not_analyzed",
"fields" : {
"raw" : {
"type" : "string",
"analyzer": "english"
}
}
},
"description" : {
"type" : "string",
"index" : "not_analyzed",
"fields" : {
"raw" : {
"type" : "string",
"analyzer": "english"
}
}
},
"price" : {"type" : "double"},
"sku" : {"type" : "string", "index" : "not_analyzed"},
"created_at" : {"type" : "date", "format" : "YYYY-‐MM-‐dd HH:mm:ss"},
"updated_at" : {"type" : "date", "format" : "YYYY-‐MM-‐dd HH:mm:ss"} ,
"category" : {
"type" : "string",
"index" : "not_analyzed"
}
Not
analyzed?
English
analyzer?
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Analyzed
vs
non-analyzed
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Full-text
vs
exact wèèrde
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Analyzer
•Character filters
•Tokenizers
•Token filters
Vervangt
tekens voe
analyzed
text
Zet tekst
omme in tokens
Toevoegen,
verwijderen of
wijzigen
tokens
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Ingebouwde analyzers
•Standard
•Simple
•Whitespace
•Stop
•Keyword
•Pattern
•Language
•Snowball
•Custom
Standard
tokenizer
Lowercase
token filter
English
stop word
token filter
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Set the shape to semi-transparent by calling
set_trans(5)
set, the, shape, to, semi, transparent, by, calling,
set_trans, 5
set, the, shape, to, semi, transparent, by, calling,
set, trans
Set, the, shape, to, semi-transparent, by, calling,
set_trans(5)
set, shape, semi, transpar, call, set_tran, 5
Standard
Simple
Whitespace
English
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Zelve een analyzer maakt
PUT /my_index
{
"settings": {
"analysis": {
"char_filter": {
"&_to_and": {
"type": "mapping",
"mappings": [ "&=> and "]
}},
"filter": {
"my_stopwords": {
"type": "stop",
"stopwords": [ "the", "a" ]
}},
"analyzer": {
"my_analyzer": {
"type": "custom",
"char_filter": [ "html_strip", "&_to_and" ],
"tokenizer": "standard",
"filter": [ "lowercase", "my_stopwords" ]
}}
}}}
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Zoek’n
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GET /products/product/_search?pretty
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 192,
"max_score": 1,
"hits": [
{
"_index": "products",
"_type": "product",
"_id": "231",
"_score": 1,
"_source": {
"category": [
"Default Category",
"Men",
"Shirts"
],
"entity_id": "231",
"created_at": "2013-‐03-‐05 06:48:12",
"updated_at": "2013-‐03-‐05 09:27:15",
"name": "French Cuff Cotton Twill Oxford",
"price": "190.0000",
"description": "Made with wrinkle resistant cotton
twill, this French-‐cuffed luxury dress shirt is perfect for Business
Class frequent flyers.",
"sku": "msj000"
}
},
…
SELECT * FROM
products.product
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GET /products/product/_search?pretty
POST /products/product/_search?pretty
{
"query": {
"match_all": {}
}
}
Zoek’n
“lite” vs De
hele query
DSL
SELECT * FROM
products.product
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GET /products/product/_search?
pretty&q=name.raw:Blazer
POST /products/product/_search?pretty
{
"query": {
"match": {
"name.raw": "Blazer"
}
}
} SELECT * FROM
products.product
WHERE
name LIKE "%Blazer%"
Zoek’n
“lite” vs De
hele query
DSL
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SELECT * FROM
products.product
WHERE
name = "Linen Blazer"
POST /products/product/_search?
pretty
{
"query": {
"match": {
"name.raw": "Linen Blazer"
}
}
}
POST /products/product/_search?
pretty
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"term": {
"name": "Linen Blazer"
}
}
}
}
}
2
producten
gevoend’n
1 product
gevoend’n
SELECT * FROM
products.product
WHERE
name LIKE "%Linen%"
OR
name LIKE "%Blazer%"
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Filter
vs
Query
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Filter
•Emme pries? Ja of neen
•Go ’t nie relevant moet zien
•Rapper & cachebaar
•Voe non-analyzed data
Query
•Oevele pries emme?
•Voe full-text search
•Ip analyzed/tokenized data
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Match Query
Multi Match Query
Bool Query
Boosting Query
Common Terms Query
Constant Score Query
Dis Max Query
Filtered Query
Fuzzy Like This Query
Fuzzy Like This Field Query
Function Score Query
Fuzzy Query
GeoShape Query
Has Child Query
Has Parent Query
Ids Query
Indices Query
Match All Query
More Like This Query
Nested Query
Prefix Query
Query String Query
Simple Query String Query
Range Query
Regexp Query
Span First Query
Span Multi Term Query
Span Near Query
Span Not Query
Span Or Query
Span Term Query
Term Query
Terms Query
Top Children Query
Wildcard Query
Minimum Should Match
Multi Term Query Rewrite
Template Query
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And Filter
Bool Filter
Exists Filter
Geo Bounding Box Filter
Geo Distance Filter
Geo Distance Range Filter
Geo Polygon Filter
GeoShape Filter
Geohash Cell Filter
Has Child Filter
Has Parent Filter
Ids Filter
Indices Filter
Limit Filter
Match All Filter
Missing Filter
Nested Filter
Not Filter
Or Filter
Prefix Filter
Query Filter
Range Filter
Regexp Filter
Script Filter
Term Filter
Terms Filter
Type Filter
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Filter
voorbeeld
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POST /products/product/_search?pretty
{
"query": {
"filtered": {
"filter": {
"ids": {
"values": [231,234,258]
}
}
}
}
}
SELECT * FROM
products.product
WHERE
entity_id IN
(231,234,258)
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POST /products/product/_search?pretty
{
"query": {
"filtered": {
"filter": {
"bool": {
"must": [
{
"range": {
"price": {
"gte": 100,
"lte": 400
}
}
}
],
"must_not": [
{
"term": {
"name": "Convertible Dress"
}
}
],
"should": [
{
"term": {
"category": "Women"
}
},
{
"term": {
"category": "New Arrivals"
}
}
]
}
}
}
}
}
SELECT * FROM
products.product
WHERE
price BETWEEN 100 AND
400 AND
name != "Convertible
Dress" AND
(category = "Women"
OR category = "New
Arrivals")
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POST /products/product/_search?pretty
{
"query": {
"filtered": {
"filter": {
"prefix": {
"name": "Slim"
}
}
}
}
}
SELECT * FROM
products.product
WHERE
name LIKE "Slim%"
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{
"filtered" : {
"filter" : {
"geo_distance_range" : {
"from" : "200km",
"to" : "400km",
"pin.location" : {
"lat" : 40,
"lon" : -‐70
}
}
}
}
}
vereist “geo
point” type veld
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Relevansje
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{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 3.3350093,
"hits": [
{
"_index": "products",
"_type": "product",
"_id": "243",
"_score": 3.3350093,
"fields": {
"name": [
"Linen Blazer"
]
}
},
{
"_index": "products",
"_type": "product",
"_id": "246",
"_score": 0.5954286,
"fields": {
"name": [
"Stretch Cotton Blazer"
]
}
}
]
}
}
POST /products/product/_search?pretty
{
"fields": ["name"],
"query": {
"match": {
"name.raw": "Linen Blazer"
}
}
}
2 keers pries,
dus relevanter
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{
"took": 1,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "products",
"_type": "product",
"_id": "243",
"_score": 1,
"fields": {
"name": [
"Linen Blazer"
]
}
}
]
}
}
POST /products/product/_search?pretty
{
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": {
"term": {
"name": "Linen Blazer"
}
}
}
}
}
Gin relevansje
ip filters
Score is ossan
1
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POST /products/product/_search?pretty
{
"fields": ["name","description"],
"query": {
"bool": {
"must": [
{
"match": {
"description.raw": "suit"
}
}
],
"should": [
{
"match": {
"name.raw": "coat"
}
}
]
}
}
}
Just mo
zoek’n achter
“suit”
Relevansje
doen toenemen
otte name “coat”
bevat
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POST /products/product/_search?pretty
{
"fields": ["price","name","description","category"],
"query": {
"bool": {
"must": [
{
"filtered": {
"filter": {
"bool": {
"must": [
{
"range": {
"price": {
"gte": 100,
"lte": 400
}
}
},
{
"term": {
"category": "Men"
}
}
]
}
}
}
}
],
"should": [
{
"match": {
"category": "New Arrivals"
}
}
]
}
}
}
Relevansje
doen
toeneemn
Gecombi
neerde
filters
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POST /products/product/_search?pretty
{
"query": {
"bool": {
"must": [
{
"match_all": {}
}
],
"should": [
{
"match": {
"description.raw": {
"query": "comfort",
"boost": 2
}
}
},
{
"match": {
"name.raw": {
"query": "tee",
"boost": 3
}
}
}
]
}
}
}
Query-
time
boosting
Relevansje
doen
toeneemn
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Ol d’ index’en
Ol de types
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SELECT *
FROM *.tbl_a*
WHERE
key LIKE ‘%val%’
•Over ol de databases
•Wildcard database
queries
•Wildcard tabel queries
SQL kan
da nie
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/_search
/products/_search
/products/product/_search
/products,clients/_search
/pro*/_search
/pro*,cli*/_search
/products/product,invoice/_search
/products/pro*/_search
/_all/product/_search
/_all/product,invoice/_search
/_all/pro*/_search
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Multi
“vanolles”
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Aggregations
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Group by dat tuug gepakt et
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SELECT COUNT(category)
FROM products.product
GROUP BY category
Aggregations
in SQL
Metric
Bucket
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SELECT COUNT(category)
FROM products.product
GROUP BY category
POST /products/product/_search?
pretty&search_type=count
{
"aggs": {
"number_of_categories" : {
"cardinality": {
"field": "category"
}
}
}
}
Metric
Bucket
Juuste
mo aggs, gin
docs
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POST /products/product/_search?pretty
{
"fields": ["category","price","name"],
"query": {
"match": {
"name.raw": "blazer"
}
},
"aggs": {
"avg_price": {
"avg": {
"field": "price"
}
},
"min_price" : {
"min": {
"field": "price"
}
},
"max_price" : {
"max": {
"field": "price"
}
},
"number_of_products_per_category" : {
"terms": {
"field": "category",
"size": 10
}
}
}
}
Meerdere
groep’n
nevest de
query
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"aggregations": {
"min_price": {
"value": 455
},
"number_of_products_per_category": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "Blazers",
"doc_count": 2
},
{
"key": "Default Category",
"doc_count": 2
},
{
"key": "Men",
"doc_count": 2
}
]
},
"max_price": {
"value": 490
},
"avg_price": {
"value": 472.5
}
}
Aggregation
output
Drill
down
search
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Min Aggregation
Max Aggregation
Sum Aggregation
Avg Aggregation
Stats Aggregation
Extended Stats Aggregation
Value Count Aggregation
Percentiles Aggregation
Percentile Ranks Aggregation
Cardinality Aggregation
Geo Bounds Aggregation
Top hits Aggregation
Scripted Metric Aggregation
Global Aggregation
Filter Aggregation
Filters Aggregation
Missing Aggregation
Nested Aggregation
Reverse nested Aggregation
Children Aggregation
Terms Aggregation
Significant Terms Aggregation
Range Aggregation
Date Range Aggregation
IPv4 Range Aggregation
Histogram Aggregation
Date Histogram Aggregation
Geo Distance Aggregation
GeoHash grid Aggregation
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Elasticsearch
beheer’n
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Verschillige
manieren
… mo w’en der geen tied voorn
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Clusteringe
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1 node
Cluster
met 2
nodes
Cluster
met 3
nodes
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Configuraasje voorbeeld
cluster.name: my-‐cluster
node.name: my-‐node
node.rack: my-‐location
node.master: true
node.data: true
http.enabled: true
index.number_of_shards: 5
index.number_of_replicas: 1
discovery.zen.minimum_master_nodes: 2
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CAP theorem
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CAP theorem
Consistence
Availability
Partition tolerance
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GET /_cat
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GET /_cat
=^.^=
/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
Gin JSON mo
platn tekst
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GET /_cat/shards?v
index shard prirep state docs store ip node
my-‐index 2 r STARTED 6 7.2kb 192.168.10.142 node3
my-‐index 2 p STARTED 6 9.5kb 192.168.10.142 node2
my-‐index 0 p STARTED 4 7.1kb 192.168.10.142 node3
my-‐index 0 r STARTED 4 4.8kb 192.168.10.142 node2
my-‐index 3 r STARTED 5 7.1kb 192.168.10.142 node1
my-‐index 3 p STARTED 5 7.2kb 192.168.10.142 node3
my-‐index 1 p STARTED 1 2.4kb 192.168.10.142 node1
my-‐index 1 r STARTED 1 2.4kb 192.168.10.142 node2
my-‐index 4 p STARTED 5 9.5kb 192.168.10.142 node1
my-‐index 4 r STARTED 5 9.4kb 192.168.10.142 node3
5 shards & 1
standoard 1
replica
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GET /_cat/health?
v&h=cluster,status,node.total,shards,pri,unassign,init
cluster status node.total shards pri unassign init
mycluster green 3 12 6 0 0
De
gezoentied
van de
cluster
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De ELK hoop
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Logs
Ommzetn
& verzetn
Ipsloan
Afficheren
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Elasticsearch
integreern
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’t Is REST, trek
je plan!
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’t Is REST, trek
je plan!
Vaneestekee
uut Javascript?
Toegank
beveiligen
AJAX #FTW
Achter
een proxy
Gin
backend
code
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Of gebruukt
een SDK
PHP Java Perl
Python
Ruby
.NET
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