GET https://recette.prestocuisine.fr/api/presto-bi/inventories/1772323200

Query Metrics

20 Database Queries
7 Different statements
18539,57 ms Query time
0 Invalid entities

Queries

Group similar statements

# Time Info
1 3,45 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.dateFrom <= ? AND t0_.dateTo >= ? LIMIT 1
Parameters:
[
  "2026-03-01 01:00:00"
  "2026-03-01 01:00:00"
]
2 1840,47 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, COUNT(DISTINCT t2_.id) AS sclr_7, t2_.id AS id_8, t2_.reference AS reference_9, t2_.name AS name_10, t3_.id AS id_11, COUNT(DISTINCT t3_.id) AS sclr_12, t3_.date AS date_13, t3_.status AS status_14, t3_.amount AS amount_15, t3_.amountMP AS amountMP_16, t3_.amountBoissons AS amountBoissons_17, t3_.amountAutres AS amountAutres_18, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_19, (SELECT t5_.id FROM tbl_site t6_ INNER JOIN tbl_inventory t5_ ON t6_.id = t5_.site_id INNER JOIN tbl_inventory_stage_site t7_ ON t5_.id = t7_.inventory_id INNER JOIN tbl_inventory_stage t8_ ON t7_.stage_id = t8_.id WHERE t6_.id = t2_.id AND t5_.status IN (?, ?) AND t7_.isExported = 1 AND t8_.dateTo <= t1_.dateFrom ORDER BY t5_.date DESC LIMIT 1) AS sclr_20, (SELECT t9_.id FROM tbl_site t10_ INNER JOIN tbl_inventory t11_ ON t10_.id = t11_.site_id INNER JOIN tbl_inventory_stage_site t12_ ON t11_.id = t12_.inventory_id INNER JOIN tbl_inventory_stage t9_ ON t12_.stage_id = t9_.id WHERE t10_.id = t2_.id AND t11_.status IN (?, ?) AND t12_.isExported = 1 AND t9_.dateTo < t1_.dateFrom ORDER BY t11_.date DESC LIMIT 1) AS sclr_21, (SELECT t13_.id FROM tbl_inventory_stage t13_ WHERE t13_.dateTo < t1_.dateFrom ORDER BY t13_.dateFrom DESC LIMIT 1) AS sclr_22 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.id = ? GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  "done"
  "exported"
  "done"
  "exported"
  121
]
3 1083,33 ms
SELECT t0_.id AS id_0, t0_.date AS date_1, t0_.status AS status_2, t0_.amount AS amount_3, t0_.amountMP AS amountMP_4, t0_.amountBoissons AS amountBoissons_5, t0_.amountAutres AS amountAutres_6, SUM(CASE WHEN t1_.quantity > 0 THEN 1 ELSE 0 END) AS sclr_7, t2_.id AS id_8 FROM tbl_inventory t0_ LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory_product t1_ ON t0_.id = t1_.inventory_id WHERE t0_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  14800
  14871
  14906
  14876
  14883
  14827
  14866
  14911
  14838
  14859
  14853
  14885
  14828
  14908
  14879
  14881
  14843
  14825
  14896
  14903
  14916
  14915
  14914
  14832
  14545
  14846
  14909
  14910
  14889
  14844
  14840
  14833
  14863
  14897
  14857
  14888
  14890
  14847
  14858
  14868
  14826
  14829
  14892
  14893
  14900
  14907
  14864
  14894
  14904
  14816
  14822
  14860
  14912
  14743
  14830
  14862
  14848
  14831
  14873
  14917
  14913
  14887
  14870
  14874
  14836
  14850
  14310
  14835
  14849
  14901
  14837
  14851
  14821
  14823
  14841
  14819
  14817
  14818
  14880
  14895
  14861
  14855
  14867
  14820
  14856
  14902
  14842
  14865
  14824
  14839
  14886
  14869
  14834
  14882
  14884
  14872
  14891
  14877
  14898
  14845
  14854
  14905
  14878
  14875
]
4 0,98 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.id IN (?, ?, ?) ORDER BY t0_.dateFrom ASC LIMIT 1
Parameters:
[
  117
  119
  115
]
5 164,97 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, t2_.id AS id_7, t3_.id AS id_8, t3_.date AS date_9, t3_.status AS status_10, t3_.amount AS amount_11, t3_.amountMP AS amountMP_12, t3_.amountBoissons AS amountBoissons_13, t3_.amountAutres AS amountAutres_14, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_15 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.dateTo > ? AND t1_.dateTo < ? AND t2_.id IN (?, ?, ?) AND (t3_.status IN (?, ?) OR (t3_.id IS NULL AND t0_.isDeferred = 1)) GROUP BY t0_.id ORDER BY t1_.dateFrom DESC, t2_.reference ASC
Parameters:
[
  "2025-09-01 00:00:00"
  "2026-03-01 00:00:00"
  87
  238
  264
  "done"
  "exported"
]
6 1,48 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.dateFrom <= ? AND t0_.dateTo >= ? LIMIT 1
Parameters:
[
  "2026-04-01 01:00:00"
  "2026-04-01 01:00:00"
]
7 218,31 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, COUNT(DISTINCT t2_.id) AS sclr_7, t2_.id AS id_8, t2_.reference AS reference_9, t2_.name AS name_10, t3_.id AS id_11, COUNT(DISTINCT t3_.id) AS sclr_12, t3_.date AS date_13, t3_.status AS status_14, t3_.amount AS amount_15, t3_.amountMP AS amountMP_16, t3_.amountBoissons AS amountBoissons_17, t3_.amountAutres AS amountAutres_18, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_19, (SELECT t5_.id FROM tbl_site t6_ INNER JOIN tbl_inventory t5_ ON t6_.id = t5_.site_id INNER JOIN tbl_inventory_stage_site t7_ ON t5_.id = t7_.inventory_id INNER JOIN tbl_inventory_stage t8_ ON t7_.stage_id = t8_.id WHERE t6_.id = t2_.id AND t5_.status IN (?, ?) AND t7_.isExported = 1 AND t8_.dateTo <= t1_.dateFrom ORDER BY t5_.date DESC LIMIT 1) AS sclr_20, (SELECT t9_.id FROM tbl_site t10_ INNER JOIN tbl_inventory t11_ ON t10_.id = t11_.site_id INNER JOIN tbl_inventory_stage_site t12_ ON t11_.id = t12_.inventory_id INNER JOIN tbl_inventory_stage t9_ ON t12_.stage_id = t9_.id WHERE t10_.id = t2_.id AND t11_.status IN (?, ?) AND t12_.isExported = 1 AND t9_.dateTo < t1_.dateFrom ORDER BY t11_.date DESC LIMIT 1) AS sclr_21, (SELECT t13_.id FROM tbl_inventory_stage t13_ WHERE t13_.dateTo < t1_.dateFrom ORDER BY t13_.dateFrom DESC LIMIT 1) AS sclr_22 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.id = ? GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  "done"
  "exported"
  "done"
  "exported"
  122
]
8 110,23 ms
SELECT t0_.id AS id_0, t0_.date AS date_1, t0_.status AS status_2, t0_.amount AS amount_3, t0_.amountMP AS amountMP_4, t0_.amountBoissons AS amountBoissons_5, t0_.amountAutres AS amountAutres_6, SUM(CASE WHEN t1_.quantity > 0 THEN 1 ELSE 0 END) AS sclr_7, t2_.id AS id_8 FROM tbl_inventory t0_ LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory_product t1_ ON t0_.id = t1_.inventory_id WHERE t0_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  14800
  14871
  14906
  14876
  14883
  14827
  14866
  14911
  14838
  14859
  14853
  14885
  14828
  14908
  14879
  14881
  14843
  14825
  14896
  14903
  14916
  14915
  14914
  14832
  14545
  14846
  14909
  14910
  14889
  14844
  14840
  14833
  14863
  14897
  14857
  14888
  14890
  14847
  14858
  14868
  14826
  14829
  14892
  14893
  14900
  14907
  14864
  14894
  14904
  14816
  14822
  14860
  14912
  14743
  14830
  14862
  14848
  14831
  14873
  14917
  14913
  14887
  14870
  14874
  14836
  14850
  14310
  14835
  14849
  14901
  14837
  14851
  14821
  14823
  14841
  14819
  14817
  14818
  14880
  14895
  14861
  14855
  14867
  14820
  14856
  14902
  14842
  14865
  14824
  14839
  14886
  14869
  14834
  14882
  14884
  14872
  14891
  14877
  14898
  14845
  14854
  14905
  14878
  14875
]
9 0,86 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.id IN (?, ?, ?, ?) ORDER BY t0_.dateFrom ASC LIMIT 1
Parameters:
[
  120
  117
  119
  115
]
10 8261,63 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, t2_.id AS id_7, t3_.id AS id_8, t3_.date AS date_9, t3_.status AS status_10, t3_.amount AS amount_11, t3_.amountMP AS amountMP_12, t3_.amountBoissons AS amountBoissons_13, t3_.amountAutres AS amountAutres_14, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_15 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.dateTo > ? AND t1_.dateTo < ? AND t2_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) AND (t3_.status IN (?, ?) OR (t3_.id IS NULL AND t0_.isDeferred = 1)) GROUP BY t0_.id ORDER BY t1_.dateFrom DESC, t2_.reference ASC
Parameters:
[
  "2025-09-01 00:00:00"
  "2026-04-01 00:00:00"
  3
  7
  28
  30
  31
  32
  34
  36
  38
  40
  41
  42
  49
  50
  51
  53
  55
  59
  60
  66
  67
  76
  79
  82
  87
  88
  96
  97
  114
  117
  128
  131
  137
  145
  146
  154
  153
  156
  157
  159
  160
  201
  168
  169
  170
  171
  172
  173
  174
  176
  200
  210
  207
  238
  239
  240
  243
  244
  245
  251
  253
  255
  256
  257
  259
  263
  264
  268
  265
  279
  269
  272
  273
  274
  275
  282
  283
  284
  285
  286
  289
  292
  293
  294
  298
  299
  300
  301
  302
  304
  305
  307
  306
  311
  312
  313
  314
  317
  318
  323
  319
  324
  321
  320
  "done"
  "exported"
]
11 1,21 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.dateFrom <= ? AND t0_.dateTo >= ? LIMIT 1
Parameters:
[
  "2026-05-01 01:00:00"
  "2026-05-01 01:00:00"
]
12 221,67 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, COUNT(DISTINCT t2_.id) AS sclr_7, t2_.id AS id_8, t2_.reference AS reference_9, t2_.name AS name_10, t3_.id AS id_11, COUNT(DISTINCT t3_.id) AS sclr_12, t3_.date AS date_13, t3_.status AS status_14, t3_.amount AS amount_15, t3_.amountMP AS amountMP_16, t3_.amountBoissons AS amountBoissons_17, t3_.amountAutres AS amountAutres_18, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_19, (SELECT t5_.id FROM tbl_site t6_ INNER JOIN tbl_inventory t5_ ON t6_.id = t5_.site_id INNER JOIN tbl_inventory_stage_site t7_ ON t5_.id = t7_.inventory_id INNER JOIN tbl_inventory_stage t8_ ON t7_.stage_id = t8_.id WHERE t6_.id = t2_.id AND t5_.status IN (?, ?) AND t7_.isExported = 1 AND t8_.dateTo <= t1_.dateFrom ORDER BY t5_.date DESC LIMIT 1) AS sclr_20, (SELECT t9_.id FROM tbl_site t10_ INNER JOIN tbl_inventory t11_ ON t10_.id = t11_.site_id INNER JOIN tbl_inventory_stage_site t12_ ON t11_.id = t12_.inventory_id INNER JOIN tbl_inventory_stage t9_ ON t12_.stage_id = t9_.id WHERE t10_.id = t2_.id AND t11_.status IN (?, ?) AND t12_.isExported = 1 AND t9_.dateTo < t1_.dateFrom ORDER BY t11_.date DESC LIMIT 1) AS sclr_21, (SELECT t13_.id FROM tbl_inventory_stage t13_ WHERE t13_.dateTo < t1_.dateFrom ORDER BY t13_.dateFrom DESC LIMIT 1) AS sclr_22 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.id = ? GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  "done"
  "exported"
  "done"
  "exported"
  123
]
13 130,50 ms
SELECT t0_.id AS id_0, t0_.date AS date_1, t0_.status AS status_2, t0_.amount AS amount_3, t0_.amountMP AS amountMP_4, t0_.amountBoissons AS amountBoissons_5, t0_.amountAutres AS amountAutres_6, SUM(CASE WHEN t1_.quantity > 0 THEN 1 ELSE 0 END) AS sclr_7, t2_.id AS id_8 FROM tbl_inventory t0_ LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory_product t1_ ON t0_.id = t1_.inventory_id WHERE t0_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  14800
  14871
  14906
  14876
  14883
  14827
  14866
  14911
  14838
  14859
  14853
  14885
  14828
  14908
  14879
  14881
  14843
  14825
  14896
  14903
  14916
  14915
  14914
  14832
  14545
  14846
  14909
  14910
  14889
  14844
  14840
  14833
  14863
  14897
  14857
  14888
  14890
  14847
  14858
  14868
  14826
  14829
  14892
  14893
  14900
  14907
  14864
  14894
  14904
  14816
  14822
  14860
  14912
  14743
  14830
  14862
  14848
  14831
  14873
  14917
  14913
  14887
  14870
  14874
  14836
  14850
  14310
  14835
  14849
  14901
  14837
  14851
  14821
  14823
  14841
  14819
  14817
  14818
  14880
  14895
  14861
  14855
  14867
  14820
  14856
  14902
  14842
  14865
  14824
  14839
  14886
  14869
  14834
  14882
  14884
  14872
  14891
  14877
  14898
  14845
  14854
  14905
  14878
  14875
]
14 0,91 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.id IN (?, ?, ?, ?) ORDER BY t0_.dateFrom ASC LIMIT 1
Parameters:
[
  120
  117
  119
  115
]
15 4347,34 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, t2_.id AS id_7, t3_.id AS id_8, t3_.date AS date_9, t3_.status AS status_10, t3_.amount AS amount_11, t3_.amountMP AS amountMP_12, t3_.amountBoissons AS amountBoissons_13, t3_.amountAutres AS amountAutres_14, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_15 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.dateTo > ? AND t1_.dateTo < ? AND t2_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) AND (t3_.status IN (?, ?) OR (t3_.id IS NULL AND t0_.isDeferred = 1)) GROUP BY t0_.id ORDER BY t1_.dateFrom DESC, t2_.reference ASC
Parameters:
[
  "2025-09-01 00:00:00"
  "2026-05-01 00:00:00"
  3
  7
  28
  30
  31
  32
  34
  36
  38
  40
  41
  42
  49
  50
  51
  53
  55
  59
  60
  66
  67
  76
  79
  82
  87
  88
  96
  97
  114
  117
  128
  131
  137
  145
  146
  154
  153
  156
  157
  159
  160
  201
  168
  169
  170
  171
  172
  173
  174
  176
  200
  210
  207
  238
  239
  240
  243
  244
  245
  251
  253
  255
  256
  257
  259
  263
  264
  268
  265
  279
  269
  272
  273
  274
  275
  282
  283
  284
  285
  286
  289
  292
  293
  294
  298
  299
  300
  301
  302
  304
  305
  307
  306
  311
  312
  313
  314
  317
  318
  323
  319
  324
  321
  320
  "done"
  "exported"
]
16 1,64 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.dateFrom <= ? AND t0_.dateTo >= ? LIMIT 1
Parameters:
[
  "2026-06-01 01:00:00"
  "2026-06-01 01:00:00"
]
17 148,29 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, COUNT(DISTINCT t2_.id) AS sclr_7, t2_.id AS id_8, t2_.reference AS reference_9, t2_.name AS name_10, t3_.id AS id_11, COUNT(DISTINCT t3_.id) AS sclr_12, t3_.date AS date_13, t3_.status AS status_14, t3_.amount AS amount_15, t3_.amountMP AS amountMP_16, t3_.amountBoissons AS amountBoissons_17, t3_.amountAutres AS amountAutres_18, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_19, (SELECT t5_.id FROM tbl_site t6_ INNER JOIN tbl_inventory t5_ ON t6_.id = t5_.site_id INNER JOIN tbl_inventory_stage_site t7_ ON t5_.id = t7_.inventory_id INNER JOIN tbl_inventory_stage t8_ ON t7_.stage_id = t8_.id WHERE t6_.id = t2_.id AND t5_.status IN (?, ?) AND t7_.isExported = 1 AND t8_.dateTo <= t1_.dateFrom ORDER BY t5_.date DESC LIMIT 1) AS sclr_20, (SELECT t9_.id FROM tbl_site t10_ INNER JOIN tbl_inventory t11_ ON t10_.id = t11_.site_id INNER JOIN tbl_inventory_stage_site t12_ ON t11_.id = t12_.inventory_id INNER JOIN tbl_inventory_stage t9_ ON t12_.stage_id = t9_.id WHERE t10_.id = t2_.id AND t11_.status IN (?, ?) AND t12_.isExported = 1 AND t9_.dateTo < t1_.dateFrom ORDER BY t11_.date DESC LIMIT 1) AS sclr_21, (SELECT t13_.id FROM tbl_inventory_stage t13_ WHERE t13_.dateTo < t1_.dateFrom ORDER BY t13_.dateFrom DESC LIMIT 1) AS sclr_22 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.id = ? GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  "done"
  "exported"
  "done"
  "exported"
  124
]
18 139,67 ms
SELECT t0_.id AS id_0, t0_.date AS date_1, t0_.status AS status_2, t0_.amount AS amount_3, t0_.amountMP AS amountMP_4, t0_.amountBoissons AS amountBoissons_5, t0_.amountAutres AS amountAutres_6, SUM(CASE WHEN t1_.quantity > 0 THEN 1 ELSE 0 END) AS sclr_7, t2_.id AS id_8 FROM tbl_inventory t0_ LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory_product t1_ ON t0_.id = t1_.inventory_id WHERE t0_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) GROUP BY t0_.id ORDER BY t2_.reference ASC
Parameters:
[
  14800
  14871
  14906
  14876
  14883
  14827
  14866
  14911
  14838
  14859
  14853
  14885
  14828
  14908
  14879
  14881
  14843
  14825
  14896
  14903
  14916
  14915
  14914
  14832
  14545
  14846
  14909
  14910
  14889
  14844
  14840
  14833
  14863
  14897
  14857
  14888
  14890
  14847
  14858
  14868
  14826
  14829
  14892
  14893
  14900
  14907
  14864
  14894
  14904
  14816
  14822
  14860
  14912
  14743
  14830
  14862
  14848
  14831
  14873
  14917
  14913
  14887
  14870
  14874
  14836
  14850
  14310
  14835
  14849
  14901
  14837
  14851
  14821
  14823
  14841
  14819
  14817
  14818
  14880
  14895
  14861
  14855
  14867
  14820
  14856
  14902
  14842
  14865
  14824
  14839
  14886
  14869
  14834
  14882
  14884
  14872
  14891
  14877
  14898
  14845
  14854
  14905
  14878
  14875
]
19 2,22 ms
SELECT t0_.id AS id_0, t0_.createdAt AS createdAt_1, t0_.updatedAt AS updatedAt_2, t0_.dateFrom AS dateFrom_3, t0_.dateTo AS dateTo_4, t0_.name AS name_5 FROM tbl_inventory_stage t0_ WHERE t0_.id IN (?, ?, ?, ?) ORDER BY t0_.dateFrom ASC LIMIT 1
Parameters:
[
  120
  117
  119
  115
]
20 1860,42 ms
SELECT t0_.id AS id_0, t0_.isDeferred AS isDeferred_1, t0_.isExported AS isExported_2, t1_.id AS id_3, t1_.name AS name_4, t1_.dateFrom AS dateFrom_5, t1_.dateTo AS dateTo_6, t2_.id AS id_7, t3_.id AS id_8, t3_.date AS date_9, t3_.status AS status_10, t3_.amount AS amount_11, t3_.amountMP AS amountMP_12, t3_.amountBoissons AS amountBoissons_13, t3_.amountAutres AS amountAutres_14, COUNT(DISTINCT CASE WHEN t4_.quantity > 0 THEN t4_.id ELSE NULLIF(0, 0) END) AS sclr_15 FROM tbl_inventory_stage_site t0_ LEFT JOIN tbl_inventory_stage t1_ ON t0_.stage_id = t1_.id LEFT JOIN tbl_site t2_ ON t0_.site_id = t2_.id LEFT JOIN tbl_inventory t3_ ON t0_.inventory_id = t3_.id LEFT JOIN tbl_inventory_product t4_ ON t3_.id = t4_.inventory_id WHERE t1_.dateTo > ? AND t1_.dateTo < ? AND t2_.id IN (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) AND (t3_.status IN (?, ?) OR (t3_.id IS NULL AND t0_.isDeferred = 1)) GROUP BY t0_.id ORDER BY t1_.dateFrom DESC, t2_.reference ASC
Parameters:
[
  "2025-09-01 00:00:00"
  "2026-06-01 00:00:00"
  3
  7
  28
  30
  31
  32
  34
  36
  38
  40
  41
  42
  49
  50
  51
  53
  55
  59
  60
  66
  67
  76
  79
  82
  87
  88
  96
  97
  114
  117
  128
  131
  137
  145
  146
  154
  153
  156
  157
  159
  160
  201
  168
  169
  170
  171
  172
  173
  174
  176
  200
  210
  207
  238
  239
  240
  243
  244
  245
  251
  253
  255
  256
  257
  259
  263
  264
  268
  265
  279
  269
  272
  273
  274
  275
  282
  283
  284
  285
  286
  289
  292
  293
  294
  298
  299
  300
  301
  302
  304
  305
  307
  306
  311
  312
  313
  314
  317
  318
  323
  319
  324
  321
  320
  "done"
  "exported"
]

Database Connections

Name Service
default doctrine.dbal.default_connection

Entity Managers

Name Service
default doctrine.orm.default_entity_manager

Second Level Cache

Second Level Cache is not enabled.