Tsien jier bifrijing. Tsien jier omdôch bisykjen de frijheit wurdich to wurden.\nJe t'aime. I love you. Ich liebe dich. Soe it oan de earmoede fan de tael lizze of oan de earmoede fan ús gefoelens, dat it saneamd edelste fielen fan in minske syn útdrukking fynt yn sa'n egosintryske taelfoarm?\nLitteraire krityk is in universele foarm fan misforstân-forsprieding. De man dy't mei anti-krityk mient oan it misforstân to ûntkommen, forsint him lykwols. Hwant hy bistriidt net it misforstân, mar hy forspriedt in nij misforstân: dat krityk sûnder misforstân mooglik wêze soe.\nSadré't de leauwigen like folle earbied hawwe foar it ûnleauwe as de ûnleauwigen foar it leauwe, falt oer fordraechsumheit to praten. Gjin minút earder.\nIt tokoart fan de Frijheit is, dat hja ek jildt foar dy't har net earbiedigje.\nIt tokoart fan de Demokraty is, dat hja bod jowt oan dy't har ûnderwrotte.\nIt tokoart fan de Folkspartij foar Frijheit en Demokraty is, dat hja mei Demokratyske middels de Frijheit jaen wol om op oarmans kosten ryk to bliuwen.\nMyn idéael is in eigen auto. Hwant ik haw him net nedich.\nBoerehistoarje. In boer giet nei stêd om in poun spikers: dy binne dêr in dûbeltsje guodkeaper as yn 'e buorren. Yn 'e Prins-Hindrikstrjitte falt him yn, dat er in goune reiskosten makke hat. Hy keapet 16 poun spikers en in glês bier. Sa hat er de kosten der wer út. En in moaije middei forgees.\nMyn freon wol syn bern nei skoallen fol ûnderwiisfornijing stjûre. De harten sille dus nea witte dat se dom binne.


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Filter by:Informatics > Data managementEcosystem Assessment > HabitatsEcosystem Assessment > Habitats > MountainsMarine Assessment and Decision SupportEcosystem Assessment > Biodiversity Assessment > GBO-3About UNEP-WCMCEcosystem Assessment > Biodiversity Assessment > ESPAEcosystem Assessment > Biodiversity Assessment > ESPA Add filters:Biodiversity, Biomass and Food SecurityBiodiversity SciencesModellingBusiness, Biodiversity and Ecosystem ServicesClimate Change and BiodiversityImpactsMitigationBioenergyCarbon & Biodiversity MappingUN-REDDRestorationAdaptationEcosystem AssessmentBiodiversity IndicatorsBINUBIP 2010RamsarGLOBIOBiodiversity AssessmentGBO-3ESPABiodiversity AtlasesRegional and National Capacity SupportEcosystem Services & ValuationTEEBHabitatsDrylandsForestFreshwaterMountainsPolarWetlandsIntl. Environmental Policy ProcessesBiodiversity and Poverty ReductionSustainable useInformaticsData managementSpatial analysisInternational Policy and StrategyMEAsMarine Assessment and Decision SupportCoralsCold-water CoralsCoastal EcosystemsDeep-Sea BiodiversityHigh SeasInvasive SpeciesMangrovesSeagrassProtected AreasAboutWorld Database on Protected AreasProtected PlanetUN List of Protected AreasProtected Area CategoriesIABINUNESCO World Heritage Sites ICCAsMarine Protected AreasTransboundary Protected AreasEcological CorridorsIABINMonitoring Protected AreasManagement EffectivenessProtected Area IndicatorsSpeciesCITESEU Wildlife Trade RegulationsCMSSpecies InformationAnimalsBirdsMammalsGreat ApesPlantsTreesAbout UNEP-WCMCPolicies UNEP-WCMC does not assert any intellectual property rights in the data made available to it by data providers.Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions set out in the policies below. Home


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HOME » Henderson, Edith Elizabeth (x) » Collip, J. B. (James Bertram), 1892-1965 (x) » info:fedora/insulin:collip (x) » info:fedora/insulin:best (x) » Nobel Prizes (x) » info:fedora/insulin:banting (x) » Best, Charles Herbert, 1899- (x) » Insulin - Controversy (x) » Search


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Muzyk yn Bedriuw fan 6 maart 2017 09:00 | Omrop Fryslân\nMuzyk yn Bedriuw fan 6 maart 2017 09:00\nIt is noch mar maart 2017, mar der binne al in hiel soad minsken dwaande mei alles wat der yn 2018 barre moat yn Fryslân. Kulturele Haadstêd, we kinne der hast net mear om hinne. Mar wat moast no eins dwaan asto foar KH wurkest? Dêr hat Johan it even oer mei Wiesje Procee, fan de ôfdieling kommunikaasje.\nHasto ek sa'n hekel om nei de toskedokter te gean? Hjoed is it de offisjele toskedokterdei. En dêrom moatte we yn Muzyk yn bedriuw wol even belje mei ien. Mar net samar mei ien, want Sanne Journée is in hynstetoskedokter.\nRoddel en achterklap mei André Pietersma.\nBedriuw fan de dei: Kulturele Haadstêd\nIt is noch mar maart 2017, mar der binne al in hiel soad minsken dwaande mei alles wat der yn 2018 barre moat yn Fryslân. Kulturele Haadstêd, we kinne der hast net mear om hinne. Mar wat moast no eins dwaan asto foar KH wurkest? Dêr hat Johan it oer mei Wiesje Procee, fan de ôfdieling kommunikaasje.\nIt is toskedokterdei: Sanne Journée is hynstetoskedokter!\nHasto ek sa'n hekel om nei de toskedokter te gean? Hjoed is it de offisjele toskedokter dei. En dêrom moatte we yn Muzyk yn bedriuw wol even belje mei ien. Mar net samar mei ien, want Sanne Journée is in hynstetoskedokter.\nRoddelje mei André Pietersma yn de lêsmap\n09:04 - Snap - The Power\n09:10 - Alanis Morissette - Hand In My Pocket\n09:15 - Tom Petty - Into The Great Wide Open\n09:18 - Coldplay - Adventure Of A Lifetime\n09:22 - Culture Club - Time (Clock Of The Heart)\n09:26 - Spice Girls - Wannabe\n09:35 - Syb Van Der Ploeg & Piter Wilkens - Jou It Troch\n09:38 - Elvis Presley - If I Can Dream\n09:42 - Black Eyed Peas - I Gotta Feeling\n09:50 - Aerosmith - Dream On\n09:54 - Elvis & Jxl - A Little Less Conversation [Radio Edit]\n10:04 - Linda Ronstadt - It's So Easy\n10:06 - Katy Perry Ft. Skip Marley - Chained To The Rhythm\n10:13 - Sytse Haima - Dyn Eagen\n10:21 - Ten Sharp - You\n10:33 - Clash - Rock The Cashbah\n10:37 - De Hunekop - Jappie Kommando (Cd-Fersy)\n10:40 - Justin Bieber - What Do You Mean\n10:44 - Amy Macdonald - Dream On\n10:51 - Inner Circle - Games People Play\n10:55 - Adrian Gurvitz - Classic\n11:04 - Tom Jones - It's Not Unusual\n11:06 - Dexy's Midnight Runners - Come On Eileen\n11:18 - Justin Timberlake - Can't Stop The Feeling\n11:23 - Kenny Rogers - Coward Of The County\n11:35 - Trockener Kecks - Met Hart En Ziel\n11:39 - Gloria Gaynor - Never Can Say Goodbye\n11:43 - Causes - Teach Me How To Dance With You\n11:47 - Jack Bottleneck & Johan Keus - It Doarp\n11:52 - Mariah Carey - Dreamlover


UB Delver a Pauper deck by RiuuK1 - MTGDECKS\nHome MTG Pauper UB Delver\nUB Delver deck, by RiuuK1\nPauperUB Delver MTGO Pauper Challenge #12213721 RiuuK1\nUB Delver. Builder: RiuuK1. —\nBUY: $57—54.47 Tix\n2 Bone Picker $0.25 $0.03\n2 Thorn of the Black Rose $1 $0.48\n4 Gurmag Angler $0.28 $0.03\n1 Bonder's Ornament $0.3 $10.67\n1 Suffocating Fumes $0.17 $0.01\n1 Echoing Decay $0.4 $0.24\n2 Cast Down $0.38 $0.05\n3 Snuff Out $4.54 $10.46\n4 Counterspell $3.64 $0.1\n2 Snow-Covered Swamp $0.72 $0.17\n3 Terramorphic Expanse $0.36 $0.02\n3 Ash Barrens $0.57 $0.95\n10 Snow-Covered Island $1.14 $1.07\n1 Unexpected Fangs $0.17 $0.01\n2 Chainer's Edict $1.53 $0.92\n3 Blue Elemental Blast $0.51 $0.8\n55.27 Tix @cardhoarder $1.38 / Week @cardhoarder $n/a @tcgplayer $61.16 @cardkingdom\n2 Bone Picker 4 Augur of Bolas 1 Suffocating Fumes 1 Exclude 2 Cast Down 2 Dismal Backwater 3 Terramorphic Expanse 3 Ash Barrens 1 Unexpected Fangs 1 Suffocating Fumes 2 Chainer's Edict\nLast update: 2020-10-05 18:03:25


Plankje fan Gesina | Omrop Fryslân\nPlankje fan Gesina\n1000 gram Snoekbears\n50 ml drûge wite wyn\n3 el olive-oalje\n30 gram bûter\n150 gram risotto rys\n4 bledsjes spinaazje\n1 pakje Loempiafellen fan de toko\nOalje om yn te fritueren\nFerwaarmje de oven yn’t foar op 170*. Meitsje oan de sydkanten fan de fisk ynkepingen en doch dêr skyfkes sitroen yn. Op de fisk komt sâlt en piper en 2 fynsnije selotsjes. Parse in knyfloktjin en in sitroen út en ming dat mei de wite wyn en doch dit oer de fisk. Set de fisk yn in skaal 30 minuten yn de oven. Jit sa no en dan wat fan it mingsel út de skaal oer de fisk hinne.\nAs de fisk gear is, helje him út de oven en snij it fleis derôf. Hâldt dit apart. Doch de kop en sturt yn in panne tegearre mei de griente en wetter. Lit dit 30 minuten stean. Net sieden!\nHelje de bûljon troch in passeardoek en goai de griente en fissekop en –sturt fuort. Bak yn in koekepan bûter en selotsjes en doch dêr de risotto rys by en set it fjoer leech. Doch de in diel fan de fiskbúljon derby en lit de rys it focht opnimme. Werhelje dizze stap oant de rys gear is en de bûljon op is.\nNim in loempiafeltsje en snij yn fjouwer fjouwerkantsjes. Nim in spinaazjebledsje en lis hjir in stik fisk op mei risotto en plak de loempia ticht mei aaigiel. Bak de loempia yn hyte oalje fan 180*, sa’n 4 minuten oant it gear is en lit útlekke op in papiertsje. Lekker ite!\n1000 gram sukadefleis\n1000 gram sipels\n1 dl bearenburch\nKrûd de sukadelapkes mei piper en sâlt. En braad ze oan yn de panne. Helje it fleis út de panne en bak de sipels yn it bakbûter. Doch de bearenburch yn de panne en lis it fleis mei de krûden derby. Stoof it fleis sa’n twa oeren op in leech fjoerke en set de oven oan op 225 graden. Rasp de ierappels en foegje hjir piper, sâlt, biezelok en in aai oan ta. Doch dit papje as in soart bakje yn it muffinbakblik. Bak dizze bakjes yn 25 minuten gear yn de oven op 225 graden. Folje de bakjes dêrnei mei fleis en sipel út de panne. Klear!\nFolde tomaat fan Gesina\nLytse moaie tomaten\n50 gram bûter\n50 gram Blue Wolvegea tsiis\nLet de linzen 12 oeren wellen yn wetter. Sied de linzen yn 20 minuten gear, yn wetter mei wat sâlt. Hakje lytse roasjes fan de bloemkoal en bak dizze koart yn bûter. Doch it gehiel yn in keukenmasjine de bûter en foegje de geraspte Blue de Wolvegea ta. Draai hjir in moaie krême fan. Waskje de tomaatsjes en hol dizze út. Doch in lyts bytsje krême op de boaiem fan it tomaatsje, en folje ôf mei wat linzen en bloemkool. Rasp der wat tsiis oer hinne, en klear!\n100 gram mosterdsied\nDoch de mosterdsiedsjes yn in kom. Foegje it appelasyn ta en let de siedsjes in dei wellen. Doch it gehiel yn de keukenmasjine, en foegje piper en sâlt ta. Let de keukenmasjine draaie, yn elk gefal 10 minuten. Priuw fan de moster, en foegje eventueel sâlt en piper ta. Doch de mosterd yn in skjin potsje en bewarje dizze yn de kuolkast. Lekker!\n150 gram cranberries (djipfries yn dit gefal)\n3 el huning\nStikje skil fan in sitroen\n3 pili pili pipers\n2 stiks laurierblêd\nSet de cranberry-beien tegearre mei al de oare yngrediïnten op in leech fjoer. Lit it gehiel pruttelje en roer sa no en dan goed troch. Panne mei dikke boaiem is nedich. As nedich noch wat appelasyn of wetter tafoegje. Pruttelje litte oant it in tjokte birke hat, lykas in compôte. Lit it hiel ôfkuolje en doch it oer yn in potsje. Bewarje it yn de kuolkast!


Driver Stampante - Pagina 76 di 102 - Scarica qui il driver di stampa gratuito!\nDownload Driver HP Deskjet 2000 J210c\nDownload di driver e software HP Deskjet 2000 J210c per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 2000 J210b\nDownload di driver e software HP Deskjet 2000 J210b per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 2000 J210a\nDownload di driver e software HP Deskjet 2000 J210a per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (47.1 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 1000 J110f\nDownload di driver e software HP Deskjet 1000 J110f per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 1000 J110e\nDownload di driver e software HP Deskjet 1000 J110e per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 1000 J110d\nDownload di driver e software HP Deskjet 1000 J110d per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »\nDownload Driver HP Deskjet 1000 J110c\nDownload di driver e software HP Deskjet 1000 J110c per Windows 10, 8, 7, Vista, XP e Mac OS. Driver e software per Windows 10, 8.1 e 8 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows 7 (32-bit e 64-bit) – Download (46.5 MB) Driver e software per Windows Vista e XP (32-bit e 64-bit) –… Read More »


aw4A : Optimization for: Optimization for: Optimization for: plan #4Jl6; plan #V9Hj; plan #VZCg | explain.depesz.com\nResult: aw4A : Optimization for: Optimization for: Optimization for: plan #4Jl6; plan #V9Hj; plan #VZCg\n#V9Hj : Optimization for: plan #4Jl6\n#VZCg : Optimization for: Optimization for: plan #4Jl6; plan #V9Hj\n#aw4A : Optimization for: Optimization for: Optimization for: plan #4Jl6; plan #V9Hj; plan #VZCg\n1. 2,589.708 11,979.832 ↓ 84.3 2,040,672 1\nWindowAgg (cost=17,348.35..18,437.08 rows=24,194 width=210) (actual time=8,273.812..11,979.832 rows=2,040,672 loops=1)\nOutput: row_number() OVER (?), ek_customer.customer_number, ek_customer.customer_status, ek_debt."For_Date", COALESCE(ek_debt.amount_0_days, ek_debt."Amount_30_Days", ek_debt."Amount_60_Days", ek_debt."Amount_90_Days", ek_debt."Amount_120_Days"), ek_customer.landing_page, CASE WHEN ((ek_customer.landing_page = 0) OR (ek_customer.landing_page IS NULL)) THEN 'Website'::character varying ELSE nest_landing_page.a_b_test END, ek_customer."Gender", ek_customer."External_Payment_Reference", CASE WHEN ((ek_customer."Credit_Status")::text = '01'::text) THEN 'Unknown'::text WHEN ((ek_customer."Credit_Status")::text = '02'::text) THEN 'Pending'::text WHEN ((ek_customer."Credit_Status")::text = '03'::text) THEN 'Approved'::text WHEN ((ek_customer."Credit_Status")::text = '04'::text) THEN 'Declined'::text WHEN ((ek_customer."Credit_Status")::text = '05'::text) THEN 'Manually Approved'::text WHEN ((ek_customer."Credit_Status")::text = '06'::text) THEN 'System Refer'::text WHEN ((ek_customer."Credit_Status")::text = '07'::text) THEN 'Manually declined'::text WHEN ((ek_customer."Credit_Status")::text = '08'::text) THEN 'Pricing Refer'::text WHEN ((ek_customer."Credit_Status")::text = '09'::text) THEN 'Declined Switcher'::text ELSE NULL::text END, ek_customer.sales_person, res_users.login, ek_icp."Physical_Address_Region", amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance\n2. 4,067.841 9,390.124 ↓ 84.3 2,040,672 1\nSort (cost=17,348.35..17,408.84 rows=24,194 width=160) (actual time=8,273.794..9,390.124 rows=2,040,672 loops=1)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_debt."For_Date", ek_debt.amount_0_days, ek_debt."Amount_30_Days", ek_debt."Amount_60_Days", ek_debt."Amount_90_Days", ek_debt."Amount_120_Days", ek_customer.landing_page, nest_landing_page.a_b_test, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, res_users.login, ek_icp."Physical_Address_Region", amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance\nSort Key: ek_customer.customer_number, ek_customer.customer_status DESC\nSort Method: external merge Disk: 222624kB\n3. 1,937.522 5,322.283 ↓ 84.3 2,040,672 1\nGather (cost=9,008.35..15,586.75 rows=24,194 width=160) (actual time=109.077..5,322.283 rows=2,040,672 loops=1)\n4. 741.942 3,384.761 ↓ 67.5 680,224 3\nHash Left Join (cost=8,008.35..12,167.35 rows=10,081 width=160) (actual time=99.782..3,384.761 rows=680,224 loops=3)\nHash Cond: (ek_customer.sales_person = res_users.id)\nWorker 0: actual time=95.308..2996.870 rows=484081 loops=1\nWorker 1: actual time=97.290..4067.619 rows=830024 loops=1\n5. 2,504.007 2,642.609 ↓ 67.5 680,224 3\nNested Loop (cost=7,998.12..12,130.62 rows=10,081 width=153) (actual time=99.544..2,642.609 rows=680,224 loops=3)\nOutput: ek_debt."For_Date", ek_debt.amount_0_days, ek_debt."Amount_30_Days", ek_debt."Amount_60_Days", ek_debt."Amount_90_Days", ek_debt."Amount_120_Days", ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_icp."Physical_Address_Region", amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance, nest_landing_page.a_b_test\nJoin Filter: (ek_customer.id = ek_debt."id_EK_Customer")\nWorker 0: actual time=95.063..2421.909 rows=484081 loops=1\nWorker 1: actual time=97.057..3110.333 rows=830024 loops=1\n6. 16.114 137.595 ↓ 1.6 1,689 3\nNested Loop (cost=7,997.70..9,837.65 rows=1,058 width=140) (actual time=98.992..137.595 rows=1,689 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, ek_billing_status."id_EK_Customer", ek_icp."Physical_Address_Region", amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance, nest_landing_page.a_b_test\nWorker 0: actual time=94.668..128.671 rows=1251 loops=1\nWorker 1: actual time=96.245..140.824 rows=1948 loops=1\n7. 15.867 121.474 ↓ 1.6 1,689 3\nNested Loop (cost=7,997.28..9,279.31 rows=1,058 width=135) (actual time=98.950..121.474 rows=1,689 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, ek_billing_status."id_EK_Customer", ek_billing_status."id_EK_ICP", amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance, nest_landing_page.a_b_test\nWorker 0: actual time=94.620..115.136 rows=1251 loops=1\nWorker 1: actual time=96.196..122.472 rows=1948 loops=1\n8. 2.020 105.596 ↓ 1.6 1,079 3\nMerge Left Join (cost=7,996.86..8,011.84 rows=687 width=127) (actual time=98.887..105.596 rows=1,079 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, latest_account_balance.account_balance, nest_landing_page.a_b_test\nMerge Cond: (ek_customer.id = latest_account_balance."id_EK_Customer")\nWorker 0: actual time=94.547..100.963 rows=869 loops=1\nWorker 1: actual time=96.122..103.734 rows=1295 loops=1\n9. 1.099 100.360 ↑ 1.1 622 3\nMerge Left Join (cost=7,432.63..7,443.19 rows=687 width=122) (actual time=96.343..100.360 rows=622 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, nest_landing_page.a_b_test\nMerge Cond: (ek_customer.id = amount_from_debt_agency."id_EK_Customer")\nWorker 0: actual time=91.744..95.658 rows=490 loops=1\nWorker 1: actual time=93.977..98.340 rows=694 loops=1\n10. 1.648 75.220 ↑ 1.2 560 3\nMerge Left Join (cost=6,865.73..6,871.87 rows=687 width=82) (actual time=72.560..75.220 rows=560 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, nest_landing_page.a_b_test\nMerge Cond: (ek_customer.id = amount_sent_to_debt_agency."id_EK_Customer")\nWorker 0: actual time=68.059..70.662 rows=442 loops=1\nWorker 1: actual time=70.045..72.921 rows=615 loops=1\n11. 1.081 33.739 ↑ 1.3 549 3\nSort (cost=6,300.17..6,301.88 rows=687 width=68) (actual time=33.337..33.739 rows=549 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id, nest_landing_page.a_b_test\nSort Key: ek_customer.id\nSort Method: quicksort Memory: 76kB\nWorker 0: actual time=28.601..28.946 rows=429 loops=1\nWorker 1: actual time=31.150..31.598 rows=603 loops=1\n12. 0.751 32.658 ↑ 1.3 549 3\nHash Left Join (cost=3.46..6,267.79 rows=687 width=68) (actual time=0.199..32.658 rows=549 loops=3)\nHash Cond: (ek_customer.landing_page = nest_landing_page.id)\nWorker 0: actual time=0.187..27.998 rows=429 loops=1\nWorker 1: actual time=0.241..30.544 rows=603 loops=1\n13. 31.769 31.769 ↑ 1.3 549 3\nParallel Seq Scan on public.ek_customer (cost=0.00..6,262.42 rows=687 width=34) (actual time=0.036..31.769 rows=549 loops=3)\nOutput: ek_customer.customer_number, ek_customer.customer_status, ek_customer.landing_page, ek_customer."Gender", ek_customer."External_Payment_Reference", ek_customer."Credit_Status", ek_customer.sales_person, ek_customer.id\nFilter: ((ek_customer.customer_status)::text <> 'OK'::text)\nRows Removed by Filter: 32823\nWorker 0: actual time=0.019..27.195 rows=429 loops=1\nWorker 1: actual time=0.074..29.688 rows=603 loops=1\n14. 0.053 0.138 ↑ 1.0 65 3\nHash (cost=2.65..2.65 rows=65 width=38) (actual time=0.138..0.138 rows=65 loops=3)\nOutput: nest_landing_page.a_b_test, nest_landing_page.id\nWorker 0: actual time=0.138..0.139 rows=65 loops=1\nWorker 1: actual time=0.138..0.138 rows=65 loops=1\n15. 0.085 0.085 ↑ 1.0 65 3\nSeq Scan on public.nest_landing_page (cost=0.00..2.65 rows=65 width=38) (actual time=0.015..0.085 rows=65 loops=3)\nWorker 0: actual time=0.019..0.085 rows=65 loops=1\nWorker 1: actual time=0.018..0.086 rows=65 loops=1\n16. 1.449 39.833 ↓ 1.6 869 3\nSort (cost=565.56..566.90 rows=533 width=18) (actual time=39.211..39.833 rows=869 loops=3)\nOutput: amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_sent_to_debt_agency."id_EK_Customer\nSort Key: amount_sent_to_debt_agency."id_EK_Customer\nSort Method: quicksort Memory: 92kB\nWorker 0: actual time=39.441..40.094 rows=869 loops=1\nWorker 1: actual time=38.884..39.544 rows=869 loops=1\n17. 0.963 38.384 ↓ 1.6 869 3\nSubquery Scan on amount_sent_to_debt_agency (cost=530.76..541.42 rows=533 width=18) (actual time=36.741..38.384 rows=869 loops=3)\nWorker 0: actual time=36.762..38.538 rows=869 loops=1\nWorker 1: actual time=36.741..38.166 rows=869 loops=1\n18. 2.037 37.421 ↓ 1.6 869 3\nHashAggregate (cost=530.76..536.09 rows=533 width=21) (actual time=36.739..37.421 rows=869 loops=3)\nOutput: max(ek_account.transaction_date), ek_account.transaction_type, ek_account."id_EK_Customer", ek_account.charge\nGroup Key: ek_account.transaction_type, ek_account."id_EK_Customer", ek_account.charge\nWorker 0: actual time=36.759..37.516 rows=869 loops=1\nWorker 1: actual time=36.738..37.306 rows=869 loops=1\n19. 35.384 35.384 ↓ 1.6 870 3\nIndex Scan using idx_ek_account_transaction_type on public.ek_account (cost=0.56..525.43 rows=533 width=21) (actual time=0.979..35.384 rows=870 loops=3)\nOutput: ek_account.id, ek_account.create_uid, ek_account.create_date, ek_account.write_date, ek_account.write_uid, ek_account.outstanding_debt, ek_account.due_date, ek_account.account_balance, ek_account.payment_date, ek_account."id_EK_Customer", ek_account.transaction_type, ek_account.charge, ek_account.payment_id, ek_account."id_EK_Invoice", ek_account."id_EK_Customer_Event", ek_account.payment, ek_account.date, ek_account.transaction_date, ek_account.payment_errorcode, ek_account.payment_method, ek_account.invoiced, ek_account.outstanding_balance, ek_account.payment_schedule_id, ek_account.transaction_id\nIndex Cond: ((ek_account.transaction_type)::text = '28'::text)\nWorker 0: actual time=1.009..35.214 rows=870 loops=1\nWorker 1: actual time=0.960..35.649 rows=870 loops=1\n20. 0.603 24.041 ↑ 1.5 357 3\nSort (cost=566.90..568.23 rows=533 width=44) (actual time=23.776..24.041 rows=357 loops=3)\nOutput: amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, amount_from_debt_agency."id_EK_Customer\nSort Key: amount_from_debt_agency."id_EK_Customer\nWorker 0: actual time=23.678..23.961 rows=353 loops=1\nWorker 1: actual time=23.926..24.199 rows=356 loops=1\n21. 0.397 23.438 ↑ 1.5 351 3\nSubquery Scan on amount_from_debt_agency (cost=530.76..542.76 rows=533 width=44) (actual time=22.722..23.438 rows=351 loops=3)\nWorker 0: actual time=22.523..23.312 rows=351 loops=1\nWorker 1: actual time=23.023..23.626 rows=351 loops=1\n22. 1.140 23.041 ↑ 1.5 351 3\nHashAggregate (cost=530.76..537.43 rows=533 width=53) (actual time=22.720..23.041 rows=351 loops=3)\nOutput: max(ek_account_1.transaction_date), ek_account_1.transaction_type, ek_account_1."id_EK_Customer", abs(ek_account_1.charge), ek_account_1.charge\nGroup Key: ek_account_1.transaction_type, ek_account_1."id_EK_Customer", ek_account_1.charge\nWorker 0: actual time=22.521..22.882 rows=351 loops=1\nWorker 1: actual time=23.021..23.280 rows=351 loops=1\n23. 21.901 21.901 ↑ 1.1 496 3\nIndex Scan using idx_ek_account_transaction_type on public.ek_account ek_account_1 (cost=0.56..525.43 rows=533 width=21) (actual time=0.153..21.901 rows=496 loops=3)\nOutput: ek_account_1.id, ek_account_1.create_uid, ek_account_1.create_date, ek_account_1.write_date, ek_account_1.write_uid, ek_account_1.outstanding_debt, ek_account_1.due_date, ek_account_1.account_balance, ek_account_1.payment_date, ek_account_1."id_EK_Customer", ek_account_1.transaction_type, ek_account_1.charge, ek_account_1.payment_id, ek_account_1."id_EK_Invoice", ek_account_1."id_EK_Customer_Event", ek_account_1.payment, ek_account_1.date, ek_account_1.transaction_date, ek_account_1.payment_errorcode, ek_account_1.payment_method, ek_account_1.invoiced, ek_account_1.outstanding_balance, ek_account_1.payment_schedule_id, ek_account_1.transaction_id\nIndex Cond: ((ek_account_1.transaction_type)::text = '43'::text)\nWorker 0: actual time=0.045..21.582 rows=496 loops=1\nWorker 1: actual time=0.370..22.387 rows=496 loops=1\n24. 1.102 3.216 ↓ 1.7 910 3\nSort (cost=564.23..565.56 rows=533 width=9) (actual time=2.537..3.216 rows=910 loops=3)\nOutput: latest_account_balance.account_balance, latest_account_balance."id_EK_Customer\nSort Key: latest_account_balance."id_EK_Customer\nWorker 0: actual time=2.795..3.463 rows=833 loops=1\nWorker 1: actual time=2.140..2.942 rows=1051 loops=1\n25. 0.525 2.114 ↑ 1.1 494 3\nSubquery Scan on latest_account_balance (cost=529.43..540.09 rows=533 width=9) (actual time=1.227..2.114 rows=494 loops=3)\nWorker 0: actual time=1.375..2.332 rows=494 loops=1\nWorker 1: actual time=1.009..1.780 rows=494 loops=1\n26. 0.974 1.589 ↑ 1.1 494 3\nHashAggregate (cost=529.43..534.76 rows=533 width=20) (actual time=1.225..1.589 rows=494 loops=3)\nOutput: NULL::timestamp without time zone, ek_account_2.transaction_type, ek_account_2."id_EK_Customer", ek_account_2.account_balance\nGroup Key: ek_account_2.transaction_type, ek_account_2."id_EK_Customer", ek_account_2.account_balance\nWorker 0: actual time=1.373..1.774 rows=494 loops=1\nWorker 1: actual time=1.007..1.310 rows=494 loops=1\n27. 0.615 0.615 ↑ 1.1 496 3\nIndex Scan using idx_ek_account_transaction_type on public.ek_account ek_account_2 (cost=0.56..525.43 rows=533 width=12) (actual time=0.040..0.615 rows=496 loops=3)\nOutput: ek_account_2.id, ek_account_2.create_uid, ek_account_2.create_date, ek_account_2.write_date, ek_account_2.write_uid, ek_account_2.outstanding_debt, ek_account_2.due_date, ek_account_2.account_balance, ek_account_2.payment_date, ek_account_2."id_EK_Customer", ek_account_2.transaction_type, ek_account_2.charge, ek_account_2.payment_id, ek_account_2."id_EK_Invoice", ek_account_2."id_EK_Customer_Event", ek_account_2.payment, ek_account_2.date, ek_account_2.transaction_date, ek_account_2.payment_errorcode, ek_account_2.payment_method, ek_account_2.invoiced, ek_account_2.outstanding_balance, ek_account_2.payment_schedule_id, ek_account_2.transaction_id\nIndex Cond: ((ek_account_2.transaction_type)::text = '43'::text)\nWorker 0: actual time=0.042..0.675 rows=496 loops=1\nWorker 1: actual time=0.032..0.523 rows=496 loops=1\n28. 0.011 0.011 ↑ 1.0 2 3,236\nIndex Scan using ek_billing_status_customer_index on public.ek_billing_status (cost=0.42..1.82 rows=2 width=8) (actual time=0.008..0.011 rows=2 loops=3,236)\nOutput: ek_billing_status.id, ek_billing_status.create_uid, ek_billing_status.create_date, ek_billing_status.write_date, ek_billing_status.write_uid, ek_billing_status."End_Date", ek_billing_status."id_EK_Customer", ek_billing_status."Is_Active", ek_billing_status."id_EK_ICP", ek_billing_status."id_EK_Pricing_Plan", ek_billing_status."Start_Date", ek_billing_status.bill_alert, ek_billing_status.id_ek_switch_out, ek_billing_status.id_ek_switch_in, ek_billing_status.id_comp_pricing_plan, ek_billing_status.topup_limit, ek_billing_status.auto_topup_amount\nIndex Cond: (ek_billing_status."id_EK_Customer" = ek_customer.id)\nWorker 0: actual time=0.010..0.012 rows=1 loops=869\nWorker 1: actual time=0.008..0.011 rows=2 loops=1295\n29. 0.007 0.007 ↑ 1.0 1 5,068\nIndex Scan using ek_icp_pkey on public.ek_icp (cost=0.42..0.53 rows=1 width=13) (actual time=0.007..0.007 rows=1 loops=5,068)\nOutput: ek_icp.id, ek_icp.create_uid, ek_icp.create_date, ek_icp.write_date, ek_icp.write_uid, ek_icp.icp_identifier, ek_icp."Physical_Address_Town", ek_icp."id_EK_Network", ek_icp."Dedicated_NSP", ek_icp."Reconciliation_Type", ek_icp."Submission_Type_HHR", ek_icp."Network_Participant_Identifier", ek_icp."id_EK_MEP", ek_icp."Profile", ek_icp."GPS_Northing", ek_icp."ANZSIC", ek_icp."Physical_Address_Post_Code", ek_icp."Physical_Address_Number", ek_icp."POC", ek_icp."ICP_Status", ek_icp."Submission_Type_NHH", ek_icp."Physical_Address_Street", ek_icp."Low_User", ek_icp."Distributor_Loss_Category_Code", ek_icp."GPS_Easting", ek_icp."Status_Reason", ek_icp."Physical_Address_Suburb", ek_icp."Physical_Address_Region", ek_icp."Physical_Address_Unit", ek_icp."MEP_Participant_Identifier", ek_icp."Distributor_Price_Category_Code", ek_icp."Unmetered_Load_Distributor", ek_icp.ek_geom, ek_icp."Switch_In_Progress", ek_icp."Trader_Code", ek_icp.gps_approximate, ek_icp.meter_multiplier_flag, ek_icp.mep_switch_in_progress, ek_icp."Registry_ICP_Details", ek_icp.daily_unmetered_kwh, ek_icp.unm_flag, ek_icp.shared_icps_list, ek_icp.unmetered_load_trader, ek_icp.pricing_config, ek_icp.installation_details, ek_icp.installation_type, ek_icp.property_name, ek_icp.proposed_mep, ek_icp.direct_billed_status, ek_icp.non_half_hour, ek_icp.highest_metering_category, ek_icp.half_hour, ek_icp.channel_count, ek_icp.prepay, ek_icp.chargeable_capacity, ek_icp.ami_non_comm, ek_icp.c_i_tou, ek_icp.ami_comm\nIndex Cond: (ek_icp.id = ek_billing_status."id_EK_ICP")\nWorker 0: actual time=0.008..0.008 rows=1 loops=1251\nWorker 1: actual time=0.007..0.007 rows=1 loops=1948\n30. 1.007 1.007 ↓ 7.3 403 5,068\nIndex Scan using "idx_ek_debt_id_EK_Customer" on public.ek_debt (cost=0.42..1.48 rows=55 width=25) (actual time=0.073..1.007 rows=403 loops=5,068)\nOutput: ek_debt.id, ek_debt.create_uid, ek_debt.create_date, ek_debt.write_date, ek_debt.write_uid, ek_debt."id_EK_Customer", ek_debt."For_Date", ek_debt."Amount_30_Days", ek_debt."Amount_120_Days", ek_debt."Amount_90_Days", ek_debt."Average_Days_Arrears", ek_debt."Amount_60_Days", ek_debt.amount_0_days\nIndex Cond: (ek_debt."id_EK_Customer" = ek_billing_status."id_EK_Customer")\nWorker 0: actual time=0.118..1.340 rows=387 loops=1251\nWorker 1: actual time=0.077..0.996 rows=426 loops=1948\n31. 0.077 0.210 ↑ 1.0 99 3\nHash (cost=8.99..8.99 rows=99 width=11) (actual time=0.210..0.210 rows=99 loops=3)\nOutput: res_users.login, res_users.id\nWorker 0: actual time=0.216..0.216 rows=99 loops=1\nWorker 1: actual time=0.205..0.205 rows=99 loops=1\n32. 0.133 0.133 ↑ 1.0 99 3\nSeq Scan on public.res_users (cost=0.00..8.99 rows=99 width=11) (actual time=0.013..0.133 rows=99 loops=3)\nWorker 0: actual time=0.014..0.130 rows=99 loops=1\nWorker 1: actual time=0.019..0.137 rows=99 loops=1\n: 49.832 ms\n: 12,811.535 ms\nWindowAgg  (cost=17348.35..18437.08 rows=24194 width=210) (actual time=8273.812..11979.832 rows=2040672 loops=1)\n->  Sort  (cost=17348.35..17408.84 rows=24194 width=160) (actual time=8273.794..9390.124 rows=2040672 loops=1)\nSort Method: external merge  Disk: 222624kB\n->  Gather  (cost=9008.35..15586.75 rows=24194 width=160) (actual time=109.077..5322.283 rows=2040672 loops=1)\n->  Hash Left Join  (cost=8008.35..12167.35 rows=10081 width=160) (actual time=99.782..3384.761 rows=680224 loops=3)\n->  Nested Loop  (cost=7998.12..12130.62 rows=10081 width=153) (actual time=99.544..2642.609 rows=680224 loops=3)\n->  Nested Loop  (cost=7997.70..9837.65 rows=1058 width=140) (actual time=98.992..137.595 rows=1689 loops=3)\n->  Nested Loop  (cost=7997.28..9279.31 rows=1058 width=135) (actual time=98.950..121.474 rows=1689 loops=3)\n->  Merge Left Join  (cost=7996.86..8011.84 rows=687 width=127) (actual time=98.887..105.596 rows=1079 loops=3)\n->  Merge Left Join  (cost=7432.63..7443.19 rows=687 width=122) (actual time=96.343..100.360 rows=622 loops=3)\n->  Merge Left Join  (cost=6865.73..6871.87 rows=687 width=82) (actual time=72.560..75.220 rows=560 loops=3)\n->  Sort  (cost=6300.17..6301.88 rows=687 width=68) (actual time=33.337..33.739 rows=549 loops=3)\nSort Method: quicksort  Memory: 76kB\n->  Hash Left Join  (cost=3.46..6267.79 rows=687 width=68) (actual time=0.199..32.658 rows=549 loops=3)\n->  Parallel Seq Scan on public.ek_customer  (cost=0.00..6262.42 rows=687 width=34) (actual time=0.036..31.769 rows=549 loops=3)\n->  Hash  (cost=2.65..2.65 rows=65 width=38) (actual time=0.138..0.138 rows=65 loops=3)\n->  Seq Scan on public.nest_landing_page  (cost=0.00..2.65 rows=65 width=38) (actual time=0.015..0.085 rows=65 loops=3)\n->  Sort  (cost=565.56..566.90 rows=533 width=18) (actual time=39.211..39.833 rows=869 loops=3)\nOutput: amount_sent_to_debt_agency.charge, amount_sent_to_debt_agency.transaction_date, amount_sent_to_debt_agency."id_EK_Customer"\nSort Key: amount_sent_to_debt_agency."id_EK_Customer"\nSort Method: quicksort  Memory: 92kB\n->  Subquery Scan on amount_sent_to_debt_agency  (cost=530.76..541.42 rows=533 width=18) (actual time=36.741..38.384 rows=869 loops=3)\n->  HashAggregate  (cost=530.76..536.09 rows=533 width=21) (actual time=36.739..37.421 rows=869 loops=3)\n->  Index Scan using idx_ek_account_transaction_type on public.ek_account  (cost=0.56..525.43 rows=533 width=21) (actual time=0.979..35.384 rows=870 loops=3)\n->  Sort  (cost=566.90..568.23 rows=533 width=44) (actual time=23.776..24.041 rows=357 loops=3)\nOutput: amount_from_debt_agency.charge, amount_from_debt_agency.transaction_date, amount_from_debt_agency."id_EK_Customer"\nSort Key: amount_from_debt_agency."id_EK_Customer"\n->  Subquery Scan on amount_from_debt_agency  (cost=530.76..542.76 rows=533 width=44) (actual time=22.722..23.438 rows=351 loops=3)\n->  HashAggregate  (cost=530.76..537.43 rows=533 width=53) (actual time=22.720..23.041 rows=351 loops=3)\n->  Index Scan using idx_ek_account_transaction_type on public.ek_account ek_account_1  (cost=0.56..525.43 rows=533 width=21) (actual time=0.153..21.901 rows=496 loops=3)\n->  Sort  (cost=564.23..565.56 rows=533 width=9) (actual time=2.537..3.216 rows=910 loops=3)\nOutput: latest_account_balance.account_balance, latest_account_balance."id_EK_Customer"\nSort Key: latest_account_balance."id_EK_Customer"\nSort Method: quicksort  Memory: 48kB\n->  Subquery Scan on latest_account_balance  (cost=529.43..540.09 rows=533 width=9) (actual time=1.227..2.114 rows=494 loops=3)\n->  HashAggregate  (cost=529.43..534.76 rows=533 width=20) (actual time=1.225..1.589 rows=494 loops=3)\n->  Index Scan using idx_ek_account_transaction_type on public.ek_account ek_account_2  (cost=0.56..525.43 rows=533 width=12) (actual time=0.040..0.615 rows=496 loops=3)\n->  Index Scan using ek_billing_status_customer_index on public.ek_billing_status  (cost=0.42..1.82 rows=2 width=8) (actual time=0.008..0.011 rows=2 loops=3236)\n->  Index Scan using ek_icp_pkey on public.ek_icp  (cost=0.42..0.53 rows=1 width=13) (actual time=0.007..0.007 rows=1 loops=5068)\n->  Index Scan using "idx_ek_debt_id_EK_Customer" on public.ek_debt  (cost=0.42..1.48 rows=55 width=25) (actual time=0.073..1.007 rows=403 loops=5068)\n->  Hash  (cost=8.99..8.99 rows=99 width=11) (actual time=0.210..0.210 rows=99 loops=3)\n->  Seq Scan on public.res_users  (cost=0.00..8.99 rows=99 width=11) (actual time=0.013..0.133 rows=99 loops=3)\nPlanning time: 49.832 ms\nExecution time: 12811.535 ms\nGather 1 1,937.522 ms 16.2 %\nHash 2 0.130 ms 0.0 %\nHash Left Join 2 742.693 ms 6.2 %\nHashAggregate 3 4.151 ms 0.0 %\nIndex Scan 6 58.925 ms 0.5 %\nMerge Left Join 3 4.767 ms 0.0 %\nNested Loop 3 2,535.988 ms 21.2 %\nParallel Seq Scan 1 31.769 ms 0.3 %\nSeq Scan 2 0.218 ms 0.0 %\nSort 5 4,072.076 ms 34.0 %\nSubquery Scan 3 1.885 ms 0.0 %\nWindowAgg 1 2,589.708 ms 21.6 %\npublic.ek_account 3 57.900 ms 0.5 %\nIndex Scan 3 57.900 ms 100.0 %\npublic.ek_billing_status 1 0.011 ms 0.0 %\npublic.ek_customer 1 31.769 ms 0.3 %\nParallel Seq Scan 1 31.769 ms 100.0 %\npublic.ek_debt 1 1.007 ms 0.0 %\nIndex Scan 1 1.007 ms 100.0 %\npublic.ek_icp 1 0.007 ms 0.0 %\npublic.nest_landing_page 1 0.085 ms 0.0 %\nSeq Scan 1 0.085 ms 100.0 %\npublic.res_users 1 0.133 ms 0.0 %\nSeq Scan 1 0.133 ms 100.0 %


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Auto's fernield yn Dokkum | Omrop Fryslân (advertinsje)\nAuto's fernield yn Dokkum 14 okt 2013 - 11:45\n0 reaksjes Oan de Stasjonswei yn Dokkum binne sneontenacht fjouwer parkearde auto's fernield. Buertbewenners waarden om twa oere nachts wekker fan jongeren dy't flink wat leven makken. Letter die bliken dat fan fjouwer auto's de spegels stikken makke wiene. Nei alle gedachten is dat dien troch trije jongeren dy't op 'e fyts wiene. De plysje siket tsjûgen.\nKorreksje meldeLês foarTrefwurden: DokkumfernielerijView the discussion thread.Diel dit berjocht op: 14-10Soarch komt op skoalle 14-10Soad kninen op Skylge Besjoch ek...


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Alde wyn dy't noch pearelet\nPoëzij en proaza fan Eeltsje Halbertsma. Blomlezing út syn wurk. Mei ynlieding en oantekeningen fan dr. J.H. Brouwer. Zwolse drukken en herdrukken voor de Maatschappij der Nederlandse Letterkunde te Leiden nr. 34. N.V. Uitgeversmaatschappij W.E.J. Tjeenk Willink, Zwolle, 1958.\nAlhoewol't der fan tal bledsiden oan proaza mear as twakear safolle yn stiet as oan dichtwurk, hat prof. Brouwer yn de titel fan syn blomlêzing dochs de poëzij foaropset. Dat is grif net tafallich, hwant foar elke lêzer fan Eeltsje Halbertsma komt ommers de dichter eerst. Dizze Halbertsma hat by syn lêzersfolk altyd foar alles de tekstdichter west fan in rige romantyske sangen dy't mienskiplik bisit fan de Friezen wurden binne. Dat docht yn dizze útjefte ek wer bliken oan Brouwer's kar. In kar dy't gjinien him forbetterje soe. Fan de fjirtjin apart steande, dus net yn proazastikken bifrissele gedichten, binne op syn minst tsien lietteksten. Mar de oare fjouwer hjir opnommen Eersen, lyk as In friesche Simmerdeij of Op Anna's dead, kin men jin likegoed as sjongfers foarstelle, wylst in ballade as De Lieke-blommen yn en bûten de Lege Wâlden by guon âlderein ek as sang bikend wêze moat.\nDat strykt ek mei de bidoelings dy't Eeltsje Halbertsma mei syn poëzij hie. Hy woe sjonge en sjonge litte. Sels yn it foarwurd ta ien fan syn proazaforhalen riedt de biis syn publyk oan: ‘en dy it net lêze kin, moat it sjonge’.\nIs it hjir fortsjinwurdige ferswurk dus Frysk mandegoed wurden, dêrmei is net sein dat it opnommen proaza ta it skandegoed biheart. Yn de omstavering fan de bisoarger - in sinnich wurkje, hwant hoefier mei men gean? - en yn de typografy fan Tjeenk Willink wurde stikken as De Noarger Rú;n of De Jonkerboer suver wer as nij foar jin.\nNij is yn dit geef en mar ryk forsoarge boek ek de fotografyske werjefte yn hânskrift fan twa fan Eeltsje syn brieven oan broer Joast. Mei it út oare wurken wolbikende portret fan D. de Hoop en in facsimile fan Geale Sliepke yn syn earste redaksje meitsje hja de yllustraesjes út fan dizze karlézing.\nApart en aerdich is ek dat Brouwer de tekst fan de Dútske sangen dy't model stien hawwe foar De Boalserter Merke, Deagraverssankje, Nije Widzesang en de Quickborn-oersetting Jounfrede hjir mei ôfprinte hat. In tekstanalyse fan dizze ‘forfryskingen’, it opsmiten dus fan de fraech ynhoefier't Halbertsma him, bihalven troch de sjongwizen ek troch de thematyk en de wurdkar fan syn Dútske originelen biynfloedzje litten hat, jowt de skriuwer him hjir net yn. Mar nou't de teksten sa kreas njonken inoar steane kin elke lêzer dy't dêr bistek op hat sels mar oan it forgelykjen gean.\nDe eigentlike blomlêzing wurdt enkadrearre troch de Ynlieding (17 bls.) en de Oantekeningen (28 bls.). Yn de earste jowt Brouwer in koarte gearfetting fan libben en wurk fan syn objekt. It hat der fan, dat Brouwer alles dat der foar en nei oer de dichter-dokter skreaun is, mei sin lêzen en oardere hat. In fortsjinste is dat de eigen\nvisy jin net forswijd wurdt en ek dat dizze yntroduksje syn ûnderwiiskundige wearde biwarret, mei't der net to folle details jown wurde, dy't it byld fan de dichter allinne mar minder skerp meitsje kinnen hiene. Yn syn Ynlieding docht de bisoarger teffens forantwurding fan syn kar fan de stikken, de tekstfarianten en de stavering. Oer de oantekeningen efteryn it boek wurdt û.o. sein:\n‘Mei de oantekeningen haw ik net sunich west. Mei sin net. De ûnderfining hat my leard, dat hiel hwat fan Eeltsje' taeleigen net roear fan 'e jongerein forstien wurdt en ik mocht net oannimme, dat alle lêzers in Frysk wurdboek ta har foldwaen hawwe, al soe dat winliken al sa wêze moatte. Ik haw mei dy oantekeningen ek wize wold op ôfwikend taelgebrûk.’\nBihalven dizze tael- en skriftekundige kommentaren hat Brouwer syn blomlêzing ek noch meijown in list mei de hânskriften, de publisearre teksten, de oersettingen en in - grif folslein - chronologysk oersjoch fan hwat oaren doe en nou oer Eeltsje Halbertsma en syn wurk skreaun hawwe, mei de fynplakken der kreas by. Dat lêste oersjoch bigjint by 1835 en hâldt op by 1958, in heikerwei dêr't Brouwer aktelju en oare studearjenden wol in tige greate deugd mei dien hat.\nAs men in nusje printflaters útsûnderet is dit boek sûnder wryt of slyt. Dit is it earste litterair-histoaryske wurk dat oer in Frysk skriuwer en yn it Frysk yn de forneamde Zwolse Herdrukken forskynd is. Hwat soe it in ding fan bilang wêze as der mear sokke útjeften folgje koene, b.g. oer Tsjibbe Gearts, Gerben Postma of Douwe Kalma.\nDe Maatschappij der Nederlandse Letterkunde hat net minder tank fortsjinne as prof. dr. J.H. Brouwer sels en as de Fryske Akademy, dy't har segel oan dit wurk fan ien fan har direkteuren hechte hat.


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