Salutate, Khabrovsk habitant. In antecessum initium cursus translationem materiae iucundae paravimus.
In multis casibus utimur quae velimus Sicut videmus in nostris websites clientium, notitias pertinet occultas in connexionibus inter entium, exempli gratia, cum relationes inter users, dependentias inter elementa, vel nexus sensoriis dividendo. Tales usus casus in graphe exemplari solent. Ante hoc anno, Amazon novam graphiam datorum emisit, Neptune. In hac statione communicare cupimus nostras primas ideas, bonas consuetudines et quod melius potest tempore meliori.
Quare opus est nobis Amazon Neptunum
Graph databases pollicentur notitias valde connexas tractare melius quam adaequationes eorum relativarum. In huiusmodi notitiastae, notitiae ad rem pertinere consueverunt in relationibus inter obiecta condi. Usus est nobis aperta notitia project mirabile Neptunus temptare . MusicBrainz colligit omne genus metadatae musicae imaginabile, ut informationes de artificibus, cantibus, album emissiones vel concentus, tum qui artifex post cantum collaboravit vel cum album in qua regione dimissum est. MusicBrainz videri potest ingens retis entium, quae quodam modo cum industria musicae coniunguntur.
MusicBrainz dataset praebetur ut CSV dump database relationis. In summa, TUBER circiter 93 decies centena millia ordines continet in 157 tabulis. Cum quaedam ex his tabulis fundamentales notitias continent, ut artifices, eventus, tabulae, emissiones vel vestigia, alii link tables - relationes inter artifices et tabulas reponunt, alii artifices vel emissiones, etc. Cum dataset in RDF triplis convertendo, instantiarum circiter 500 decies consecuti sumus.
Ex experientia et impressionibus propositi socii quibuscum laboramus, exhibemus ordinationem in qua haec scientia turpia ad novas informationes obtinendas adhibetur. Praeterea exspectamus regulariter renovandum, exempli gratia addendo novas emissiones vel addendo membra sodalitatis coetus.
tionibus
Ut expectatur, installing simplex est Amazon Amazon. Illa satis detailed . Graph database in paucis clicks potes mittere. Sed cum fit accuratior figuratio; difficilis. Unde ad unam figuram parametri designare volumus.
Configurationis screenshot pro parametris coetibus
Amazon dicit Neptunum in laboribus transactionibus humilis latency versari, quam ob rem petitio defalta repromissionis 120 secundis est. Sed multos usus analyticos casus probavimus in quibus hunc modum regulariter attigimus. Hoc timeout mutari potest creando novum coetus parametri Neptuni et occasus neptune_query_timeout restrictione debita.
Data loading
Infra singillatim dicemus quomodo MusicBrainz data Neptuno onusta sumus.
Relationes in tribus
Primum, data MusicBrainz in RDF triplis convertimus. Ergo per singulas tabulas definivimus formulam quae definitur, quomodo singulae columnae in tripla figurantur. In hoc exemplo, quilibet ordo a tabula operante ad triplos duodecim RDF descriptus est.
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/gid> "${gid}"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/name> "${name}"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/sort-name> "${sort_name}"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/begin-date> "${begin_date_year}-${begin_date_month}-${begin_date_day}"^^xsd:<http://www.w3.org/2001/XMLSchema#date> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/end-date> "${end_date_year}-${end_date_month}-${end_date_day}"^^xsd:<http://www.w3.org/2001/XMLSchema#date> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/type> <http://musicbrainz.foo/artist-type/${type}> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/area> <http://musicbrainz.foo/area/${area}> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/gender> <http://musicbrainz.foo/gender/${gender}> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/comment> "${comment}"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/edits-pending> "${edits_pending}"^^<http://www.w3.org/2001/XMLSchema#int> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/last-updated> "${last_updated}"^^<http://www.w3.org/2001/XMLSchema#dateTime> .
<http://musicbrainz.foo/artist/${id}> <http://musicbrainz.foo/ended> "${ended}"^^<http://www.w3.org/2001/XMLSchema#boolean> .
Mole upload
Proposita via est ut Neptunus in magna copia notitiarum onerandi sit per processum onerationis molem per S3. Cum triplis fasciculis in S3 imposuisti, onerationis incipe utens post petitionem. In nostro casu circiter 24 horas pro 500 decies centena milia sumpsit. Exspectavimus eam citius esse.
curl -X POST -H 'Content-Type: application/json' http://your-neptune-cluster:8182/loader -d '{
"source" : "s3://your-s3-bucket",
"format" : "ntriples",
"iamRoleArn" : "arn:aws:iam::your-iam-user:role/NeptuneLoadFromS3",
"region" : "eu-west-1",
"failOnError" : "FALSE"
}'Ad huius longi temporis processus Neptunum evitandum, exemplum e snapshoto restituendum decrevimus quo illi trigemini iam onerati erant. A snapshot velocius cursus est, sed tamen circiter horam accipit donec Neptunus petitionibus praesto est.
Cum initio trigeminis in Neptunum onerant, varios errores invenimus.
{
"errorCode" : "PARSING_ERROR",
"errorMessage" : "Content after '.' is not allowed",
"fileName" : [...],
"recordNum" : 25
}Ex quibus quidam erroribus parsibant, ut supra ostensum est. Ad diem adhuc non figuratum quid hoc in loco prorsus erravit. Aliquanto accuratius hic certissime adiuvabimus. Hic error occurrit per 1% circiter triangulorum insertorum. Sed quatenus Neptunum tentat, id suscepimus quod tantum 99% informationis de MusicBrainz laboramus.
Etsi hoc facile est hominibus SPARQL familiaribus, scito RDF triplos notatos esse expressis notitiis typicis, qui rursus errores causare possunt.
Streaming download
Ut supra dictum est, Neptunum pro static notitia copia uti nolumus, sed ut basis cognitionis flexibilis et evoluta. Et ideo opus est ad introducendas vias novas triplas inveniendas cum scientiarum mutationum basis, puta cum novum album divulgatur vel cum scientiam derivatam materializare volumus.
Neptunus operatores inputandos per SPARQL queries sustinet, tam rudis quam specimen fundatum. De utroque infra dicturi sumus.
Una e nostris metis data erat in modum effusi. Considera dimittis album in nova terra. Ex prospectu MusicBrainz, hoc significat pro remissione quae includit album, odio, EPs, etc., novus introitus mensae additur. release-regione. In RDF coniungimus informationem hanc cum duabus novis triplis.
INSERT DATA { <http://musicbrainz.foo/release-country/737041> <http://musicbrainz.foo/release> <http://musicbrainz.foo/release/435759> };INSERT DATA { <http://musicbrainz.foo/release-country/737041> <http://musicbrainz.foo/date-year> "2018"^^<http://www.w3.org/2001/XMLSchema#int> };Alius finis erat ut novam ex graphi cognitionem acquireret. Dicamus volumus numerum emissionum quemlibet artificem suum curriculo editum obtinere. Quaesitio talis est admodum implicata et XX minuta in Neptuno occupat, ideo necesse est eventum materiale invenire ut hanc novam cognitionem in alia quaestione repetamus. Sic triplos addimus cum hac informatione ad graph, intrantes exitum subquery.
INSERT {
?artist_credit <http://musicbrainz.foo/number-of-releases> ?number_of_releases
} WHERE {
SELECT ?artist_credit (COUNT(*) as ?number_of_releases)
WHERE {
?artist_credit <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist-credit> .
?release_group <http://musicbrainz.foo/artist-credit> ?artist_credit .
?release_group <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/release-group> .
?release_group <http://musicbrainz.foo/name> ?release_group_name .
}
GROUP BY ?artist_credit
}Singulas triplas graphio addens paucas millii secundas accipit, dum exsecutio tempus inserendi eventum subqueriae pendet tempore exsecutionis ipsius subquisitionis.
Etsi non saepe utimur, Neptunus etiam dat ut trigemini subiciendi secundum exempla vel notitias expressas, quae ad informationes renovandas adhiberi possunt.
SPARQL queries
Subsample priorem introducentes, qui numerus solutionum unicuique artificis refert, iam primum genus interrogationis introduximus ut Neptuno respondere velimus. Quaesitum est in Neptuno aedificando facilem esse - petitionem mittere ad terminum SPARQL, ut infra ostendetur:
curl -X POST --data-binary 'query=SELECT ?artist ?p ?o where {?artist <http://musicbrainz.foo/name> "Elton John" . ?artist ?p ?o . }' http://your-neptune-cluster:8182/sparqlEtiam quaesitum est quod artifex recurrit in qua informationes de nomine, aetate, de patria originis refert. Meminerint scaenicos esse singulos, vincula, orchestras. Praeterea hanc notitiam cum informatione supplemus de numero emissiones ab artificibus per annum dimissam. Solo artifices etiam informationes addimus de nexibus illius artificis quovis anno participato.
SELECT
?artist_name ?year
?releases_in_year ?releases_up_year
?artist_type_name ?releases
?artist_gender ?artist_country_name
?artist_begin_date ?bands
?bands_in_year
WHERE {
# Bands for each artist
{
SELECT
?year
?first_artist
(group_concat(DISTINCT ?second_artist_name;separator=",") as ?bands)
(COUNT(DISTINCT ?second_artist_name) AS ?bands_in_year)
WHERE {
VALUES ?year {
1960 1961 1962 1963 1964 1965 1966 1967 1968 1969
1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
1980 1981 1982 1983 1984 1985 1986 1987 1988 1989
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015 2016 2017 2018
}
?first_artist <http://musicbrainz.foo/name> "Elton John" .
?first_artist <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist> .
?first_artist <http://musicbrainz.foo/type> ?first_artist_type .
?first_artist <http://musicbrainz.foo/name> ?first_artist_name .
?second_artist <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist> .
?second_artist <http://musicbrainz.foo/type> ?second_artist_type .
?second_artist <http://musicbrainz.foo/name> ?second_artist_name .
optional { ?second_artist <http://musicbrainz.foo/begin-date-year> ?second_artist_begin_date_year . }
optional { ?second_artist <http://musicbrainz.foo/end-date-year> ?second_artist_end_date_year . }
?l_artist_artist <http://musicbrainz.foo/entity0> ?first_artist .
?l_artist_artist <http://musicbrainz.foo/entity1> ?second_artist .
?l_artist_artist <http://musicbrainz.foo/link> ?link .
optional { ?link <http://musicbrainz.foo/begin-date-year> ?link_begin_date_year . }
optional { ?link <http://musicbrainz.foo/end-date-year> ?link_end_date_year . }
FILTER (!bound(?link_begin_date_year) || ?link_begin_date_year <= ?year)
FILTER (!bound(?link_end_date_year) || ?link_end_date_year >= ?year)
FILTER (!bound(?second_artist_begin_date_year) || ?second_artist_begin_date_year <= ?year)
FILTER (!bound(?second_artist_end_date_year) || ?second_artist_end_date_year >= ?year)
FILTER (?first_artist_type NOT IN (<http://musicbrainz.foo/artist-type/2>, <http://musicbrainz.foo/artist-type/5>, <http://musicbrainz.foo/artist-type/6>))
FILTER (?second_artist_type IN (<http://musicbrainz.foo/artist-type/2>, <http://musicbrainz.foo/artist-type/5>, <http://musicbrainz.foo/artist-type/6>))
}
GROUP BY ?first_artist ?year
}
# Releases up to a year
{
SELECT
?artist
?year
(group_concat(DISTINCT ?release_name;separator=",") as ?releases)
(COUNT(*) as ?releases_up_year)
WHERE {
VALUES ?year {
1960 1961 1962 1963 1964 1965 1966 1967 1968 1969
1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
1980 1981 1982 1983 1984 1985 1986 1987 1988 1989
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015 2016 2017 2018
}
?artist <http://musicbrainz.foo/name> "Elton John" .
?artist_credit_name <http://musicbrainz.foo/artist-credit> ?artist_credit .
?artist_credit_name <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist-credit-name> .
?artist_credit_name <http://musicbrainz.foo/artist> ?artist .
?artist_credit <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist-credit> .
?release_group <http://musicbrainz.foo/artist-credit> ?artist_credit .
?release_group <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/release-group> .
?release_group <http://musicbrainz.foo/name> ?release_group_name .
?release <http://musicbrainz.foo/release-group> ?release_group .
?release <http://musicbrainz.foo/name> ?release_name .
?release_country <http://musicbrainz.foo/release> ?release .
?release_country <http://musicbrainz.foo/date-year> ?release_country_year .
FILTER (?release_country_year <= ?year)
}
GROUP BY ?artist ?year
}
# Releases in a year
{
SELECT ?artist ?year (COUNT(*) as ?releases_in_year)
WHERE {
VALUES ?year {
1960 1961 1962 1963 1964 1965 1966 1967 1968 1969
1970 1971 1972 1973 1974 1975 1976 1977 1978 1979
1980 1981 1982 1983 1984 1985 1986 1987 1988 1989
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
2010 2011 2012 2013 2014 2015 2016 2017 2018
}
?artist <http://musicbrainz.foo/name> "Elton John" .
?artist_credit_name <http://musicbrainz.foo/artist-credit> ?artist_credit .
?artist_credit_name <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist-credit-name> .
?artist_credit_name <http://musicbrainz.foo/artist> ?artist .
?artist_credit <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/artist-credit> .
?release_group <http://musicbrainz.foo/artist-credit> ?artist_credit .
?release_group <http://musicbrainz.foo/rdftype> <http://musicbrainz.foo/release-group> .
?release_group <http://musicbrainz.foo/name> ?release_group_name .
?release <http://musicbrainz.foo/release-group> ?release_group .
?release_country <http://musicbrainz.foo/release> ?release .
?release_country <http://musicbrainz.foo/date-year> ?release_country_year .
FILTER (?release_country_year = ?year)
}
GROUP BY ?artist ?year
}
# Master data
{
SELECT DISTINCT ?artist ?artist_name ?artist_gender ?artist_begin_date ?artist_country_name
WHERE {
?artist <http://musicbrainz.foo/name> ?artist_name .
?artist <http://musicbrainz.foo/name> "Elton John" .
?artist <http://musicbrainz.foo/gender> ?artist_gender_id .
?artist_gender_id <http://musicbrainz.foo/name> ?artist_gender .
?artist <http://musicbrainz.foo/area> ?birth_area .
?artist <http://musicbrainz.foo/begin-date-year> ?artist_begin_date.
?birth_area <http://musicbrainz.foo/name> ?artist_country_name .
FILTER(datatype(?artist_begin_date) = xsd:int)
}Ob implicationem talis inquisitionis, solum punctum quaerendi pro certo artifice potuimus praestare, sicut Elton John, sed non omnium artificum. Neptunus talem quaestionem non videtur optimizare omissis filtra in subselects. Ergo unaquaeque lectio debet ab artifice nomine manually percolari.
Neptunus et horas et per-I/O crimina habet. Ad nostram probationem, nudum minimum Neptunum instantia usi sumus, quae $0,384/horam constat. In casu interrogationis supra, quae profile unius laborantis computat, Amazon monet decem milia operationum I/O, quasi sumptus $0.02.
conclusio,
Primum, Amazon Neptunus promissiones suas maxime servat. Pro ratione officii administrata, datorum graphorum datorum perquam facile est instituere et ascendere et currere sine sorte configurationis. Hic sunt quinque key Inventiones nostrae:
- Moles fasciculorum facilis est sed tarda. Sed nuntiis erroris quae non admodum utiles sunt, implicari potest.
- Streaming download omnia sustinet quae expectavimus et satis celeriter erat
- Queries simplices sunt, sed non satis interactivae ad quaestiones analyticas deducendas
- SPARQL queries debet esse optimized manually
- Merces Amazonicae difficile est aestimare, quia difficile est aestimationem datorum per interrogationem SPARQL inspectam.
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Source: www.habr.com