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ASK Query
[[Category:CSIReports]]
SQL Query
SELECT DISTINCT
t0.smw_id AS id,
t0.smw_title AS t,
t0.smw_namespace AS ns,
t0.smw_iw AS iw,
t0.smw_subobject AS so,
t0.smw_sortkey AS sortkey, t4.o_hash
FROM
`smw_object_ids` AS t0
INNER JOIN
`smw_fpt_inst` AS t1 ON t0.smw_id=t1.s_id
INNER JOIN
`smw_di_blob` AS t4 ON t0.smw_id=t4.s_id
WHERE
(t1.o_id=1816)
AND (t4.p_id=1948)
AND t0.smw_iw!=':smw'
AND t0.smw_iw!=':smw-delete'
AND t0.smw_iw!=':smw-redi'
ORDER BY
t4.o_hash DESC
LIMIT
25
OFFSET
0
t0.smw_id AS id,
t0.smw_title AS t,
t0.smw_namespace AS ns,
t0.smw_iw AS iw,
t0.smw_subobject AS so,
t0.smw_sortkey AS sortkey, t4.o_hash
FROM
`smw_object_ids` AS t0
INNER JOIN
`smw_fpt_inst` AS t1 ON t0.smw_id=t1.s_id
INNER JOIN
`smw_di_blob` AS t4 ON t0.smw_id=t4.s_id
WHERE
(t1.o_id=1816)
AND (t4.p_id=1948)
AND t0.smw_iw!=':smw'
AND t0.smw_iw!=':smw-delete'
AND t0.smw_iw!=':smw-redi'
ORDER BY
t4.o_hash DESC
LIMIT
25
OFFSET
0
SQL Explain
ID | select_type | table | type | possible_keys | key | key_len | ref | rows | filtered | Extra |
---|---|---|---|---|---|---|---|---|---|---|
1 | SIMPLE | t1 | ref | s_id, o_id, s_id_2, o_id_2 | o_id_2 | 5 | const | 256 | Using index; Using temporary; Using filesort | |
1 | SIMPLE | t0 | eq_ref | PRIMARY, smw_id, smw_iw, smw_iw_2 | PRIMARY | 4 | www_public.t1.s_id | 1 | Using where | |
1 | SIMPLE | t4 | ref | s_id, s_id_2, p_id | s_id | 8 | www_public.t1.s_id, const | 1 |
Auxilliary Tables
No auxilliary tables used.Query Metrics
Query-Size:1Query-Depth:0
Errors and Warnings
NoneTitle | Authors | Year | |
---|---|---|---|
guillet.21.seminar | Brain MRI Segmentation using fully convolutional network | William Guillet | 2023 |
dubois.22.seminar | Fast reductions for ω-automaton | Jérôme Dubois | 2022 |
gasnault.21.seminar | Brain MRI segmentation using mathematical morphology | Louis Gasnault | 2021 |
dubois.21.seminar | Fast simulation based reduction for ω-automaton | Jérôme Dubois | 2021 |
simonin.21.seminar | Efficient implementations of hierarchical morphological representations | Victor Simonin | 2021 |
buatois.21.seminar | Smart and robust segmentation of medical images using neural networks | Thibault Buatois | 2021 |
fages.21.seminar | Active Learning on Visibly One Counter Systems | Aymeric FAGES | 2021 |
oueslati.21.seminar | genus.py: a Simple Embeddable Type System for the Python language | Mehdi OUESLATI | 2021 |
mom.21.seminar | Real Time Face Expression Recognition | Ferdinand Mom | 2021 |
moreau.21.seminar | Handling blackbox transitions in go2pins | Hugo Moreau | 2021 |
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habib.21.seminar | Building a quantum perceptron | Nathan Habib | 2021 |
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fages.20.seminar | Verifying Properties on a Program Using Static Analysis and Model Checking | Aymeric Fages | 2020 |
carvalho.20.seminar | Model classification in model checking using random forest | Thomas De Carvalho | 2020 |
kirszenberg.20.seminar | Learning Morphological Operations | Alexandre Kirszenberg | 2020 |
esteban.20.seminar | Estimation of the Noise Level Function in Multivariate Images using the Tree of Shapes and non-parametric statistics | Baptiste Esteban | 2020 |
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ginane.20.seminar | Detecting danger in marine environment: Part 1 - Making the dataset | Charles Ginane | 2020 |