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- Nested Loop (cost=1113.46..1115.51 rows=1 width=320) (actual time=5423.648..5637.029 rows=1 loops=1)
- CTE item
- -> Hash Full Join (cost=1.92..9.96 rows=1 width=2331) (actual time=0.095..0.100 rows=1 loops=1)
- Hash Cond: (enwiktionary.title = lower(w.title))
- -> Limit (cost=0.43..8.45 rows=1 width=56) (actual time=0.010..0.010 rows=0 loops=1)
- -> Index Scan using enwiktionary_title on enwiktionary (cost=0.43..8.45 rows=1 width=56) (actual time=0.010..0.010 rows=0 loops=1)
- Index Cond: (title = 'shaquille o''neal'::text)
- -> Hash (cost=1.47..1.47 rows=1 width=2275) (actual time=0.066..0.067 rows=1 loops=1)
- Buckets: 1024 Batches: 1 Memory Usage: 10kB
- -> Limit (cost=1.41..1.46 rows=1 width=2275) (actual time=0.051..0.053 rows=1 loops=1)
- -> Nested Loop Left Join (cost=1.41..25.48 rows=429 width=2275) (actual time=0.050..0.051 rows=1 loops=1)
- -> Nested Loop Left Join (cost=1.12..17.17 rows=1 width=1629) (actual time=0.040..0.040 rows=1 loops=1)
- -> Index Scan using enwikipedia_title on enwikipedia w (cost=0.56..8.57 rows=1 width=968) (actual time=0.020..0.020 rows=1 loops=1)
- Index Cond: (lower(title) = 'shaquille o''neal'::text)
- -> Index Scan using wikidata_id on wikidata wd (cost=0.56..8.58 rows=1 width=670) (actual time=0.012..0.012 rows=1 loops=1)
- Index Cond: (w.id = id)
- -> Index Scan using enwikiquote_id on enwikiquote wq (cost=0.29..8.30 rows=1 width=652) (actual time=0.007..0.007 rows=0 loops=1)
- Index Cond: (w.id = id)
- CTE country
- -> Aggregate (cost=78.28..78.29 rows=1 width=32) (actual time=0.035..0.035 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.033..0.033 rows=0 loops=1)
- -> CTE Scan on item item_1 (cost=0.00..0.02 rows=1 width=32) (actual time=0.005..0.005 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements (cost=0.01..1.00 rows=100 width=32) (actual time=0.027..0.027 rows=0 loops=1)
- CTE image
- -> CTE Scan on item item_2 (cost=0.00..0.27 rows=1 width=32) (actual time=0.350..0.351 rows=1 loops=1)
- CTE birthplace
- -> CTE Scan on item item_3 (cost=0.00..0.27 rows=1 width=32) (actual time=1.987..1.988 rows=1 loops=1)
- CTE sex
- -> CTE Scan on item item_4 (cost=0.00..0.27 rows=1 width=32) (actual time=0.937..0.938 rows=1 loops=1)
- CTE father
- -> CTE Scan on item item_5 (cost=0.00..0.27 rows=1 width=32) (actual time=52.199..52.200 rows=1 loops=1)
- CTE mother
- -> CTE Scan on item item_6 (cost=0.00..0.27 rows=1 width=32) (actual time=0.031..0.033 rows=1 loops=1)
- CTE spouse
- -> Aggregate (cost=103.53..103.54 rows=1 width=32) (actual time=49.974..49.974 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.045..0.048 rows=1 loops=1)
- -> CTE Scan on item item_7 (cost=0.00..0.02 rows=1 width=32) (actual time=0.005..0.006 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_1 (cost=0.01..1.00 rows=100 width=32) (actual time=0.037..0.038 rows=1 loops=1)
- CTE country_of_citizenship
- -> CTE Scan on item item_8 (cost=0.00..0.27 rows=1 width=32) (actual time=47.805..47.807 rows=1 loops=1)
- CTE instance
- -> CTE Scan on item item_9 (cost=0.00..0.27 rows=1 width=32) (actual time=1.436..1.437 rows=1 loops=1)
- CTE capital
- -> Aggregate (cost=78.28..78.29 rows=1 width=32) (actual time=0.049..0.049 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.035..0.035 rows=0 loops=1)
- -> CTE Scan on item item_10 (cost=0.00..0.02 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_2 (cost=0.01..1.00 rows=100 width=32) (actual time=0.033..0.033 rows=0 loops=1)
- CTE currency
- -> CTE Scan on item item_11 (cost=0.00..0.27 rows=1 width=32) (actual time=0.042..0.042 rows=1 loops=1)
- CTE flag
- -> CTE Scan on item item_12 (cost=0.00..0.27 rows=1 width=32) (actual time=0.033..0.034 rows=1 loops=1)
- CTE teams
- -> Aggregate (cost=103.78..103.79 rows=1 width=32) (actual time=161.800..161.800 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.049..0.065 rows=7 loops=1)
- -> CTE Scan on item item_13 (cost=0.00..0.02 rows=1 width=32) (actual time=0.002..0.003 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_3 (cost=0.01..1.00 rows=100 width=32) (actual time=0.045..0.051 rows=7 loops=1)
- CTE education
- -> Aggregate (cost=128.78..128.79 rows=1 width=32) (actual time=64.021..64.021 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.038..0.047 rows=6 loops=1)
- -> CTE Scan on item item_14 (cost=0.00..0.02 rows=1 width=32) (actual time=0.003..0.004 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_4 (cost=0.01..1.00 rows=100 width=32) (actual time=0.033..0.036 rows=6 loops=1)
- CTE occupation
- -> CTE Scan on item item_15 (cost=0.00..0.27 rows=1 width=32) (actual time=52.270..52.271 rows=1 loops=1)
- CTE signature
- -> CTE Scan on item item_16 (cost=0.00..0.02 rows=1 width=32) (actual time=0.034..0.035 rows=1 loops=1)
- CTE interment
- -> Aggregate (cost=78.28..78.29 rows=1 width=32) (actual time=0.041..0.042 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.038..0.038 rows=0 loops=1)
- -> CTE Scan on item item_17 (cost=0.00..0.02 rows=1 width=32) (actual time=0.003..0.004 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_5 (cost=0.01..1.00 rows=100 width=32) (actual time=0.033..0.033 rows=0 loops=1)
- CTE genre
- -> CTE Scan on item item_18 (cost=0.00..0.27 rows=1 width=32) (actual time=0.997..0.998 rows=1 loops=1)
- CTE religion
- -> CTE Scan on item item_19 (cost=0.00..0.27 rows=1 width=32) (actual time=2.211..2.213 rows=1 loops=1)
- CTE awards
- -> Aggregate (cost=53.03..53.04 rows=1 width=32) (actual time=135.975..135.976 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.040..0.071 rows=21 loops=1)
- -> CTE Scan on item item_20 (cost=0.00..0.02 rows=1 width=32) (actual time=0.000..0.005 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_6 (cost=0.01..1.00 rows=100 width=32) (actual time=0.036..0.044 rows=21 loops=1)
- CTE ethnicity
- -> CTE Scan on item item_21 (cost=0.00..0.27 rows=1 width=32) (actual time=0.899..0.901 rows=1 loops=1)
- CTE military
- -> Aggregate (cost=78.28..78.29 rows=1 width=32) (actual time=0.034..0.034 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.032..0.033 rows=0 loops=1)
- -> CTE Scan on item item_22 (cost=0.00..0.02 rows=1 width=32) (actual time=0.000..0.000 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_7 (cost=0.01..1.00 rows=100 width=32) (actual time=0.029..0.029 rows=0 loops=1)
- CTE record_label
- -> CTE Scan on item item_23 (cost=0.00..0.27 rows=1 width=32) (actual time=1.572..1.573 rows=1 loops=1)
- CTE position
- -> CTE Scan on item item_24 (cost=0.00..0.27 rows=1 width=32) (actual time=0.646..0.647 rows=1 loops=1)
- CTE musicbrainz
- -> CTE Scan on item item_25 (cost=0.00..0.02 rows=1 width=32) (actual time=0.059..0.061 rows=1 loops=1)
- CTE partner
- -> Aggregate (cost=103.53..103.54 rows=1 width=32) (actual time=0.027..0.028 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.024..0.024 rows=0 loops=1)
- -> CTE Scan on item item_26 (cost=0.00..0.02 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_8 (cost=0.01..1.00 rows=100 width=32) (actual time=0.022..0.022 rows=0 loops=1)
- CTE origin
- -> CTE Scan on item item_27 (cost=0.00..0.27 rows=1 width=32) (actual time=0.032..0.033 rows=1 loops=1)
- CTE cause_of_death
- -> CTE Scan on item item_28 (cost=0.00..0.27 rows=1 width=32) (actual time=0.020..0.021 rows=1 loops=1)
- CTE members
- -> Aggregate (cost=103.53..103.54 rows=1 width=32) (actual time=0.032..0.032 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.029..0.029 rows=0 loops=1)
- -> CTE Scan on item item_29 (cost=0.00..0.02 rows=1 width=32) (actual time=0.001..0.001 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_9 (cost=0.01..1.00 rows=100 width=32) (actual time=0.025..0.025 rows=0 loops=1)
- CTE residence
- -> CTE Scan on item item_30 (cost=0.00..0.27 rows=1 width=32) (actual time=2.917..2.918 rows=1 loops=1)
- CTE hand
- -> CTE Scan on item item_31 (cost=0.00..0.27 rows=1 width=32) (actual time=0.074..0.075 rows=1 loops=1)
- CTE coordinate
- -> CTE Scan on item item_32 (cost=0.00..0.27 rows=1 width=32) (actual time=0.029..0.030 rows=1 loops=1)
- CTE birthday
- -> CTE Scan on item item_33 (cost=0.00..0.27 rows=1 width=32) (actual time=0.385..0.386 rows=1 loops=1)
- CTE death
- -> CTE Scan on item item_34 (cost=0.00..0.27 rows=1 width=32) (actual time=0.026..0.026 rows=1 loops=1)
- CTE start
- -> CTE Scan on item item_35 (cost=0.00..0.27 rows=1 width=32) (actual time=0.040..0.040 rows=1 loops=1)
- CTE publication
- -> CTE Scan on item item_36 (cost=0.00..0.27 rows=1 width=32) (actual time=0.037..0.038 rows=1 loops=1)
- CTE sport
- -> CTE Scan on item item_37 (cost=0.00..0.27 rows=1 width=32) (actual time=0.988..0.989 rows=1 loops=1)
- CTE drafted
- -> CTE Scan on item item_38 (cost=0.00..0.27 rows=1 width=32) (actual time=0.477..0.479 rows=1 loops=1)
- CTE given_name
- -> CTE Scan on item item_39 (cost=0.00..0.27 rows=1 width=32) (actual time=0.483..0.485 rows=1 loops=1)
- CTE influences
- -> CTE Scan on item item_40 (cost=0.00..0.27 rows=1 width=32) (actual time=0.050..0.051 rows=1 loops=1)
- CTE location
- -> CTE Scan on item item_41 (cost=0.00..0.27 rows=1 width=32) (actual time=0.024..0.025 rows=1 loops=1)
- CTE website
- -> CTE Scan on item item_42 (cost=0.00..0.02 rows=1 width=32) (actual time=0.139..0.140 rows=1 loops=1)
- CTE population
- -> Aggregate (cost=53.03..53.04 rows=1 width=32) (actual time=0.038..0.038 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.036..0.036 rows=0 loops=1)
- -> CTE Scan on item item_43 (cost=0.00..0.02 rows=1 width=32) (actual time=0.003..0.004 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_10 (cost=0.01..1.00 rows=100 width=32) (actual time=0.031..0.031 rows=0 loops=1)
- CTE instrument
- -> Aggregate (cost=53.03..53.04 rows=1 width=32) (actual time=48.731..48.731 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.039..0.044 rows=1 loops=1)
- -> CTE Scan on item item_44 (cost=0.00..0.02 rows=1 width=32) (actual time=0.000..0.002 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_11 (cost=0.01..1.00 rows=100 width=32) (actual time=0.033..0.034 rows=1 loops=1)
- CTE participant
- -> CTE Scan on item item_45 (cost=0.00..0.27 rows=1 width=32) (actual time=49.190..49.191 rows=1 loops=1)
- CTE nominations
- -> Aggregate (cost=78.28..78.29 rows=1 width=32) (actual time=103.895..103.895 rows=1 loops=1)
- -> Nested Loop (cost=0.01..2.02 rows=100 width=32) (actual time=0.046..0.063 rows=16 loops=1)
- -> CTE Scan on item item_46 (cost=0.00..0.02 rows=1 width=32) (actual time=0.003..0.004 rows=1 loops=1)
- -> Function Scan on jsonb_array_elements jsonb_array_elements_12 (cost=0.01..1.00 rows=100 width=32) (actual time=0.041..0.046 rows=16 loops=1)
- CTE languages
- -> CTE Scan on item item_47 (cost=0.00..0.27 rows=1 width=32) (actual time=0.030..0.031 rows=1 loops=1)
- CTE birth_name
- -> CTE Scan on item item_48 (cost=0.00..0.02 rows=1 width=32) (actual time=0.051..0.052 rows=1 loops=1)
- CTE spotify
- -> CTE Scan on item item_49 (cost=0.00..0.02 rows=1 width=32) (actual time=0.034..0.035 rows=1 loops=1)
- CTE usda
- -> CTE Scan on item item_50 (cost=0.00..0.02 rows=1 width=32) (actual time=0.036..0.037 rows=1 loops=1)
- CTE twitter
- -> CTE Scan on item item_51 (cost=0.00..0.02 rows=1 width=32) (actual time=0.030..0.031 rows=1 loops=1)
- CTE instagram
- -> CTE Scan on item item_52 (cost=0.00..0.02 rows=1 width=32) (actual time=0.056..0.057 rows=1 loops=1)
- CTE facebook
- -> CTE Scan on item item_53 (cost=0.00..0.02 rows=1 width=32) (actual time=0.054..0.056 rows=1 loops=1)
- CTE youtube
- -> CTE Scan on item item_54 (cost=0.00..0.02 rows=1 width=32) (actual time=0.025..0.027 rows=1 loops=1)
- CTE work_start
- -> CTE Scan on item item_55 (cost=0.00..0.27 rows=1 width=32) (actual time=0.038..0.039 rows=1 loops=1)
- CTE height
- -> CTE Scan on item item_56 (cost=0.00..0.27 rows=1 width=32) (actual time=1.196..1.197 rows=1 loops=1)
- CTE weight
- -> CTE Scan on item item_57 (cost=0.00..0.27 rows=1 width=32) (actual time=1.025..1.027 rows=1 loops=1)
- CTE siblings
- -> CTE Scan on item item_58 (cost=0.00..0.27 rows=1 width=32) (actual time=0.025..0.026 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.73 rows=1 width=2112) (actual time=885.273..885.394 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.70 rows=1 width=2080) (actual time=885.245..885.362 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.67 rows=1 width=2048) (actual time=885.212..885.328 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.64 rows=1 width=2016) (actual time=884.262..884.374 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.61 rows=1 width=1984) (actual time=834.274..834.384 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.58 rows=1 width=1952) (actual time=834.211..834.319 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.55 rows=1 width=1920) (actual time=831.994..832.099 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.52 rows=1 width=1888) (actual time=831.639..831.742 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.49 rows=1 width=1856) (actual time=829.641..829.742 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.46 rows=1 width=1568) (actual time=829.639..829.740 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.43 rows=1 width=1536) (actual time=829.603..829.701 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.40 rows=1 width=1504) (actual time=829.546..829.642 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.37 rows=1 width=1472) (actual time=730.151..730.245 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.34 rows=1 width=1440) (actual time=730.115..730.207 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.31 rows=1 width=1408) (actual time=730.074..730.164 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.28 rows=1 width=1376) (actual time=730.039..730.126 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.25 rows=1 width=1344) (actual time=729.384..729.468 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.22 rows=1 width=1312) (actual time=567.528..567.611 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.19 rows=1 width=1280) (actual time=503.494..503.576 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.16 rows=1 width=1248) (actual time=502.583..502.663 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.13 rows=1 width=1216) (actual time=502.529..502.606 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.10 rows=1 width=1184) (actual time=453.774..453.850 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.07 rows=1 width=1152) (actual time=453.737..453.811 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.04 rows=1 width=1120) (actual time=453.704..453.776 rows=1 loops=1)
- -> Nested Loop (cost=0.00..1.01 rows=1 width=1088) (actual time=453.217..453.286 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.98 rows=1 width=1056) (actual time=453.176..453.243 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.95 rows=1 width=1024) (actual time=452.146..452.211 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.92 rows=1 width=992) (actual time=452.109..452.171 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.89 rows=1 width=960) (actual time=450.531..450.590 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.86 rows=1 width=928) (actual time=398.431..398.489 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.83 rows=1 width=896) (actual time=395.479..395.534 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.80 rows=1 width=864) (actual time=395.433..395.486 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.77 rows=1 width=832) (actual time=346.236..346.287 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.74 rows=1 width=800) (actual time=242.313..242.363 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.71 rows=1 width=768) (actual time=241.921..241.969 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.68 rows=1 width=736) (actual time=241.424..241.468 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.65 rows=1 width=704) (actual time=241.392..241.435 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.62 rows=1 width=672) (actual time=240.190..240.231 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.59 rows=1 width=640) (actual time=240.152..240.192 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.56 rows=1 width=608) (actual time=240.099..240.136 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.53 rows=1 width=576) (actual time=192.272..192.307 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.50 rows=1 width=544) (actual time=192.231..192.263 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.47 rows=1 width=512) (actual time=192.191..192.220 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.44 rows=1 width=480) (actual time=192.148..192.175 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.41 rows=1 width=448) (actual time=190.705..190.730 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.38 rows=1 width=416) (actual time=190.652..190.676 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.35 rows=1 width=384) (actual time=190.593..190.616 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.32 rows=1 width=352) (actual time=138.390..138.410 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.29 rows=1 width=320) (actual time=138.361..138.380 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.26 rows=1 width=288) (actual time=138.333..138.350 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.23 rows=1 width=256) (actual time=138.299..138.314 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.20 rows=1 width=224) (actual time=137.306..137.318 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.17 rows=1 width=192) (actual time=136.295..136.306 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.14 rows=1 width=160) (actual time=136.258..136.267 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.11 rows=1 width=128) (actual time=0.215..0.222 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.08 rows=1 width=96) (actual time=0.192..0.196 rows=1 loops=1)
- -> Nested Loop (cost=0.00..0.05 rows=1 width=64) (actual time=0.166..0.169 rows=1 loops=1)
- -> CTE Scan on website (cost=0.00..0.02 rows=1 width=32) (actual time=0.140..0.141 rows=1 loops=1)
- -> CTE Scan on location (cost=0.00..0.02 rows=1 width=32) (actual time=0.025..0.026 rows=1 loops=1)
- -> CTE Scan on siblings (cost=0.00..0.02 rows=1 width=32) (actual time=0.025..0.026 rows=1 loops=1)
- -> CTE Scan on cause_of_death (cost=0.00..0.02 rows=1 width=32) (actual time=0.023..0.024 rows=1 loops=1)
- -> CTE Scan on awards (cost=0.00..0.02 rows=1 width=32) (actual time=136.042..136.043 rows=1 loops=1)
- -> CTE Scan on signature (cost=0.00..0.02 rows=1 width=32) (actual time=0.035..0.037 rows=1 loops=1)
- -> CTE Scan on genre (cost=0.00..0.02 rows=1 width=32) (actual time=1.009..1.010 rows=1 loops=1)
- -> CTE Scan on sport (cost=0.00..0.02 rows=1 width=32) (actual time=0.991..0.993 rows=1 loops=1)
- -> CTE Scan on mother (cost=0.00..0.02 rows=1 width=32) (actual time=0.032..0.034 rows=1 loops=1)
- -> CTE Scan on death (cost=0.00..0.02 rows=1 width=32) (actual time=0.027..0.029 rows=1 loops=1)
- -> CTE Scan on partner (cost=0.00..0.02 rows=1 width=32) (actual time=0.027..0.028 rows=1 loops=1)
- -> CTE Scan on father (cost=0.00..0.02 rows=1 width=32) (actual time=52.202..52.203 rows=1 loops=1)
- -> CTE Scan on instagram (cost=0.00..0.02 rows=1 width=32) (actual time=0.058..0.059 rows=1 loops=1)
- -> CTE Scan on capital (cost=0.00..0.02 rows=1 width=32) (actual time=0.051..0.051 rows=1 loops=1)
- -> CTE Scan on instance (cost=0.00..0.02 rows=1 width=32) (actual time=1.441..1.442 rows=1 loops=1)
- -> CTE Scan on start (cost=0.00..0.02 rows=1 width=32) (actual time=0.042..0.044 rows=1 loops=1)
- -> CTE Scan on work_start (cost=0.00..0.02 rows=1 width=32) (actual time=0.039..0.040 rows=1 loops=1)
- -> CTE Scan on usda (cost=0.00..0.02 rows=1 width=32) (actual time=0.038..0.039 rows=1 loops=1)
- -> CTE Scan on country_of_citizenship (cost=0.00..0.02 rows=1 width=32) (actual time=47.825..47.827 rows=1 loops=1)
- -> CTE Scan on influences (cost=0.00..0.02 rows=1 width=32) (actual time=0.051..0.052 rows=1 loops=1)
- -> CTE Scan on country (cost=0.00..0.02 rows=1 width=32) (actual time=0.036..0.037 rows=1 loops=1)
- -> CTE Scan on height (cost=0.00..0.02 rows=1 width=32) (actual time=1.199..1.201 rows=1 loops=1)
- -> CTE Scan on languages (cost=0.00..0.02 rows=1 width=32) (actual time=0.032..0.033 rows=1 loops=1)
- -> CTE Scan on given_name (cost=0.00..0.02 rows=1 width=32) (actual time=0.494..0.496 rows=1 loops=1)
- -> CTE Scan on birthday (cost=0.00..0.02 rows=1 width=32) (actual time=0.391..0.392 rows=1 loops=1)
- -> CTE Scan on nominations (cost=0.00..0.02 rows=1 width=32) (actual time=103.921..103.921 rows=1 loops=1)
- -> CTE Scan on participant (cost=0.00..0.02 rows=1 width=32) (actual time=49.194..49.196 rows=1 loops=1)
- -> CTE Scan on currency (cost=0.00..0.02 rows=1 width=32) (actual time=0.044..0.046 rows=1 loops=1)
- -> CTE Scan on residence (cost=0.00..0.02 rows=1 width=32) (actual time=2.950..2.951 rows=1 loops=1)
- -> CTE Scan on hand (cost=0.00..0.02 rows=1 width=32) (actual time=52.099..52.100 rows=1 loops=1)
- -> CTE Scan on record_label (cost=0.00..0.02 rows=1 width=32) (actual time=1.576..1.578 rows=1 loops=1)
- -> CTE Scan on flag (cost=0.00..0.02 rows=1 width=32) (actual time=0.035..0.036 rows=1 loops=1)
- -> CTE Scan on weight (cost=0.00..0.02 rows=1 width=32) (actual time=1.027..1.029 rows=1 loops=1)
- -> CTE Scan on population (cost=0.00..0.02 rows=1 width=32) (actual time=0.039..0.040 rows=1 loops=1)
- -> CTE Scan on drafted (cost=0.00..0.02 rows=1 width=32) (actual time=0.485..0.487 rows=1 loops=1)
- -> CTE Scan on coordinate (cost=0.00..0.02 rows=1 width=32) (actual time=0.030..0.031 rows=1 loops=1)
- -> CTE Scan on spotify (cost=0.00..0.02 rows=1 width=32) (actual time=0.036..0.038 rows=1 loops=1)
- -> CTE Scan on instrument (cost=0.00..0.02 rows=1 width=32) (actual time=48.752..48.753 rows=1 loops=1)
- -> CTE Scan on birth_name (cost=0.00..0.02 rows=1 width=32) (actual time=0.053..0.055 rows=1 loops=1)
- -> CTE Scan on ethnicity (cost=0.00..0.02 rows=1 width=32) (actual time=0.910..0.913 rows=1 loops=1)
- -> CTE Scan on education (cost=0.00..0.02 rows=1 width=32) (actual time=64.033..64.033 rows=1 loops=1)
- -> CTE Scan on teams (cost=0.00..0.02 rows=1 width=32) (actual time=161.854..161.854 rows=1 loops=1)
- -> CTE Scan on "position" (cost=0.00..0.02 rows=1 width=32) (actual time=0.652..0.653 rows=1 loops=1)
- -> CTE Scan on origin (cost=0.00..0.02 rows=1 width=32) (actual time=0.032..0.034 rows=1 loops=1)
- -> CTE Scan on publication (cost=0.00..0.02 rows=1 width=32) (actual time=0.039..0.040 rows=1 loops=1)
- -> CTE Scan on military (cost=0.00..0.02 rows=1 width=32) (actual time=0.035..0.035 rows=1 loops=1)
- -> CTE Scan on occupation (cost=0.00..0.02 rows=1 width=32) (actual time=99.392..99.394 rows=1 loops=1)
- -> CTE Scan on facebook (cost=0.00..0.02 rows=1 width=32) (actual time=0.055..0.057 rows=1 loops=1)
- -> CTE Scan on members (cost=0.00..0.02 rows=1 width=32) (actual time=0.034..0.034 rows=1 loops=1)
- -> CTE Scan on item (cost=0.00..0.02 rows=1 width=288) (actual time=0.000..0.000 rows=1 loops=1)
- -> CTE Scan on birthplace (cost=0.00..0.02 rows=1 width=32) (actual time=1.996..1.997 rows=1 loops=1)
- -> CTE Scan on image (cost=0.00..0.02 rows=1 width=32) (actual time=0.351..0.353 rows=1 loops=1)
- -> CTE Scan on religion (cost=0.00..0.02 rows=1 width=32) (actual time=2.215..2.217 rows=1 loops=1)
- -> CTE Scan on musicbrainz (cost=0.00..0.02 rows=1 width=32) (actual time=0.061..0.063 rows=1 loops=1)
- -> CTE Scan on spouse (cost=0.00..0.02 rows=1 width=32) (actual time=49.985..49.985 rows=1 loops=1)
- -> CTE Scan on sex (cost=0.00..0.02 rows=1 width=32) (actual time=0.947..0.949 rows=1 loops=1)
- -> CTE Scan on twitter (cost=0.00..0.02 rows=1 width=32) (actual time=0.032..0.033 rows=1 loops=1)
- -> CTE Scan on youtube (cost=0.00..0.02 rows=1 width=32) (actual time=0.026..0.028 rows=1 loops=1)
- -> CTE Scan on interment (cost=0.00..0.02 rows=1 width=32) (actual time=0.042..0.044 rows=1 loops=1)
- Planning time: 1010.487 ms
- Execution time: 5692.599 ms
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