Opasnet base structure: Difference between revisions

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Opasnet base is a [[:en:MySQL|MySQL]] database located at http://base.opasnet.org.
Opasnet base is a [[:en:MySQL|MySQL]] database located at http://base.opasnet.org.


===Table structure===
===Data structure===
 
All data should be convertible into the following format:
 
{| {{prettytable}}
| colspan="3"| || colspan="2"  style="background-color: #FFD8F0;"|Personal measurements
|-----
|  style="background-color: #CCDFC8;"|Year ||  style="background-color: #CCDFC8;"|Sex ||  style="background-color: #CCDFC8;"|Age ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECDFE8;"|Weight
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|20 ||  style="background-color: #ECFFE8;"|178 ||  style="background-color: #ECFFE8;"|70
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|30 ||  style="background-color: #ECFFE8;"|174 ||  style="background-color: #ECFFE8;"|79
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|25 ||  style="background-color: #ECFFE8;"|183 ||  style="background-color: #ECFFE8;"|84
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Female ||  style="background-color: #DFB8D0;"|22 ||  style="background-color: #ECFFE8;"|168 ||  style="background-color: #ECFFE8;"|65
|}
 
where
 
{| {{prettytable}}
|  style="background-color: #CCDFC8;"|Name for explanation column(s).
|-----
|  style="background-color: #ECDFE8;"|Explanation data. These are determined or decided before the the actual observations are done.
|-----
|  style="background-color: #FFD8F0;"|Observation index. Common name for all observations
|-----
|  style="background-color: #DFB8D0;"|Name for observation column(s). These are the parameters studied.
|-----
|  style="background-color: #ECFFE8;"|Observation data. These are the actual measurements.
|-----
|}
 
This is the data that is entered as a Data table. The observation index is given separately in Object info.
 
{| {{prettytable}}
|  style="background-color: #CCDFC8;"|Year ||  style="background-color: #CCDFC8;"|Sex ||  style="background-color: #CCDFC8;"|Age ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECDFE8;"|Weight
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|20 ||  style="background-color: #ECFFE8;"|178 ||  style="background-color: #ECFFE8;"|70
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|30 ||  style="background-color: #ECFFE8;"|174 ||  style="background-color: #ECFFE8;"|79
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|25 ||  style="background-color: #ECFFE8;"|183 ||  style="background-color: #ECFFE8;"|84
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Female ||  style="background-color: #DFB8D0;"|22 ||  style="background-color: #ECFFE8;"|168 ||  style="background-color: #ECFFE8;"|65
|}
 
This is the standard table where all observations have been put into a single column.
 
{| {{prettytable}}
|  style="background-color: #CCDFC8;"|Year ||  style="background-color: #CCDFC8;"|Sex ||  style="background-color: #CCDFC8;"|Age ||  style="background-color: #FFD8F0;"|Personal measurements || result
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|20 ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECFFE8;"|178
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|30 ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECFFE8;"|174
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|25 ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECFFE8;"|183
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Female ||  style="background-color: #DFB8D0;"|22 ||  style="background-color: #ECDFE8;"|Height ||  style="background-color: #ECFFE8;"|168
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|20 ||  style="background-color: #ECDFE8;"|Weight ||  style="background-color: #ECFFE8;"|70
|-----
|  style="background-color: #DFB8D0;"|2009 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|30 ||  style="background-color: #ECDFE8;"|Weight ||  style="background-color: #ECFFE8;"|79
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Male ||  style="background-color: #DFB8D0;"|25 ||  style="background-color: #ECDFE8;"|Weight ||  style="background-color: #ECFFE8;"|84
|-----
|  style="background-color: #DFB8D0;"|2010 ||  style="background-color: #DFB8D0;"|Female ||  style="background-color: #DFB8D0;"|22 ||  style="background-color: #ECDFE8;"|Weight ||  style="background-color: #ECFFE8;"|65
|}
 
 
 
 
===Table structure in the database===


====All tables====
====All tables====

Revision as of 22:27, 21 August 2010



This page is about the structure of Opasnet Base. For a general description, see Opasnet base.

Scope

Structure and connections (lines) of the tables (boxes) in the Opasnet Base. All table identifiers are called id (so they can be called by like obj.id). When obj.id is referred to in another table such as actobj, it is called actobj.obj_id. The latter end of a one-to-many relationship is marked with a ring. Important substantive fields are listed inside table boxes.

Opasnet base is a storage and retrieval system for results of variable and data from studies. What is the structure of Opasnet base such that it enables the following functionalities?

  1. Storage of results of variables with uncertainties when necessary, and as multidimensional arrays when necessary.R↻
  2. Automatic retrieval of results when called from Opasnet wiki or other platforms or modelling systems.
  3. Description and handling of the dimensions that a variable may take.
  4. It is possible to protect some results and data from reading by unauthorised persons.
  5. If is possible to build user interfaces for easily entering observations into the Base.


Definition

Data

Software

Because Opasnet base will contain very large amounts of mostly numerical information, the state-of-the-art structure is a SQL database. Because of its flexibility, ease of use, and cost, MySQL is an optimal choice among SQL software. In addition to the database software, a variable transfer protocol is needed on top of that so that the results of variables can be retrieved and new results stored either automatically by a calculating software, or manually by the user. Fancy presenting software can be built on top of the database, but that is not the topic of this page.

Storage and retrieval of results of variables

The most important functionality is to store and retrieve the results of variables. Because variables may take very different forms (from a single value such as natural constant to an uncertain spatio-temporal concentration field over the whole Europe), the database must be very flexible. The basic solution is described in the variable page, and it is only briefly summarised here. The result is described as

  P(R|x1,x2,...) 

where P(R) is the probability distribution of the result and x1 and x2 are defining locations of a dimension where a particular P(R) applies. Typically locations are operationalised as discrete indices. A variable must have at least one dimension. Uncertainty about the true value of the variable is operationalised as a random sample from the probability distribution, in such a way that the samples are located along an index Sample, which is a list of integers 1,2,3...n, where n=number of samples.


Dependencies

Result

Opasnet base is a MySQL database located at http://base.opasnet.org.

Data structure

All data should be convertible into the following format:

Personal measurements
Year Sex Age Height Weight
2009 Male 20 178 70
2009 Male 30 174 79
2010 Male 25 183 84
2010 Female 22 168 65

where

Name for explanation column(s).
Explanation data. These are determined or decided before the the actual observations are done.
Observation index. Common name for all observations
Name for observation column(s). These are the parameters studied.
Observation data. These are the actual measurements.

This is the data that is entered as a Data table. The observation index is given separately in Object info.

Year Sex Age Height Weight
2009 Male 20 178 70
2009 Male 30 174 79
2010 Male 25 183 84
2010 Female 22 168 65

This is the standard table where all observations have been put into a single column.

Year Sex Age Personal measurements result
2009 Male 20 Height 178
2009 Male 30 Height 174
2010 Male 25 Height 183
2010 Female 22 Height 168
2009 Male 20 Weight 70
2009 Male 30 Weight 79
2010 Male 25 Weight 84
2010 Female 22 Weight 65



Table structure in the database

All tables

NOTE! Update this table when table structure is changed!

act
Field Type Null Extra
id int(10) unsigned auto_increment
series_id int(10) unsigned
acttype_id tinyint(3) unsigned
who varchar(50)
comments varchar(250) Yes
time timestamp
temp_id int(10) unsigned
actobj
Field Type Null Extra
id int(10) unsigned auto_increment
act_id int(10) unsigned
obj_id int(10) unsigned
series_id int(10) unsigned
acttype
Field Type Null Extra
id int(10) unsigned auto_increment
acttype varchar(250)
cell
Field Type Null Extra
id int(12) unsigned auto_increment
obj_id_v int(10) unsigned
obj_id_r int(10) unsigned
actobj_id int(10) unsigned
mean float Yes
sd float
n int(10)
formula
Field Type Null Extra
id int(10) unsigned auto_increment
obj_id_v int(10) unsigned
act_id int(10) unsigned
actobj_id int(10) unsigned
language smallint(5) unsigned
code longtext Yes
item
Field Type Null Extra
id int(10) unsigned auto_increment
sett_id int(10) unsigned
obj_id int(10) unsigned
fail tinyint(1) unsigned
language
Field Type Null Extra
id tinyint(3) unsigned auto_increment
language varchar(250)
loc
Field Type Null Extra
id int(10) unsigned auto_increment
std_id int(10) unsigned
obj_id_i int(10) unsigned
location varchar(100)
roww mediumint(8) unsigned
description varchar(150)
loccell
Field Type Null Extra
id int(10) unsigned auto_increment
cell_id int(10) unsigned
loc_id int(10) unsigned
obj
Field Type Null Extra
id int(10) unsigned auto_increment
ident varchar(20)
name varchar(200)
unit varchar(64)
objtype_id tinyint(3) unsigned
page int(10) unsigned
wiki_id tinyint(3) unsigned
newest int(10) unsigned
objinfo
Field Type Null Extra
id int(10) unsigned auto_increment
obj_id int(10) unsigned
acttype_id tinyint(3) unsigned
who varchar(50)
comments varchar(250)
time timestamp
objtype
Field Type Null Extra
id tinyint(3)
objtype varchar(30)
res
Field Type Null Extra
id bigint(20) unsigned auto_increment
cell_id int(20) unsigned
obs int(10) unsigned
result float
restext varchar(250) Yes
resinfo
Field Type Null Extra
id bigint(20) unsigned auto_increment
restext varchar(250)
who varchar(50)
time timestamp
resinfosec
Field Type Null Extra
id bigint(20) unsigned auto_increment
restext varchar(250)
who varchar(50)
time timestamp
ressec
Field Type Null Extra
id bigint(20) unsigned auto_increment
cell_id int(20) unsigned
obs int(10) unsigned
result float
restext varchar(250) Yes
sett
Field Type Null Extra
id int(10) unsigned auto_increment
obj_id int(10) unsigned
settype_id tinyint(3) unsigned
settype
Field Type Null Extra
id tinyint(3) unsigned auto_increment
settype varchar(30)
wiki
Field Type Null Extra
id tinyint(3)
url varchar(255)
wname varchar(20)

Formula structure

Now it has become clear that it is not enough to have samples of the result distributions. It must be possible to completely recalculate the result based on the information in the Opasnet Base. There are different approaches:

  • Calculate the result based on a formula that may refer to other variables called parents. This is a deterministic approach.
  • Calculate the result based on the marginal distribution and (conditional) rank correlations with parent variables. This is a probabilistic approach.

This approach requires new tables, namely Formula and Language.


----11: . Do we need tables DIF and DIP like Uninet? --Jouni 21:50, 30 December 2009 (UTC) (type: truth; paradigms: science: comment)
  • DIP
    • DIP_node_id
    • DIP_parent_node_id
    • DIP_corr_coeff
    • DIP_parent_index
  • DIF
    • DIF_node_id
    • DIF_formula
    • DIF_varnames_in_formula

All tables: Overview

  • We need Ressec (Result secure) and Resinfosec (Result info secure) tables for secure information. All other tables are openly readable except these two. They have the same structure as Res and Resinfo tables, respectively.


Tables_in_opasnet_base
Table Description
Acttype List of action types
Cell Cells of an object
Formula Formulas for computing variable results
Item
Language List of languages understood by the formula
Loc Location information
Loccell Locations of a cell
Log
Obj Object information (all objects)
Objinfo Additional information about the objects
Objtype Types of objects
Res Result distribution (actual values)
Resinfo Additional description of the result
Resinfosec Additional description of the result
Ressec Result distribution (actual values)
Sett Memberships of items in sets
Settype Types of set-item memeberships
Wiki Wiki information
⇤--3: . Res and Resinfo should be merged. Similarly, Ressec and Resinfosec should be merged. --Jouni 09:48, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)R↻
⇤--4: . We must divide Obj into Obj and Act. Act table (previously Objinfo) would contain uploads (previously Runs) and formula updates. --Jouni 09:48, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
←--12: . Objinfo should be renamed Act. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: defence)
←--13: . Uploads (previously "runs") should no longer be called objects. They belong to table Act. As a side effect, one upload refers to exactly one object (i.e., when uploading a full model, all object will have different upload numbers). --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: defence)

Main tables

Tables with primary content
Table Field Type Null Key Default Extra
Cell id int(12) unsigned NO PRI NULL auto_increment
Cell Obj_id_v int(10) unsigned NO MUL NULL
Cell Obj_id_r int(10) unsigned NO NULL
Cell Mean float YES NULL
Cell SD float NO NULL
Cell N int(10) NO NULL
Formula id int(10) unsigned NO PRI NULL auto_increment
Formula Obj_id_v int(10) unsigned NO MUL NULL
Formula Act_id int(10) unsigned NO MUL NULL
Formula Language smallint(5) unsigned NO NULL
Formula Code longtext YES NULL
Loc id int(10) unsigned NO PRI NULL auto_increment
Loc Std_id int(10) unsigned NO MUL NULL
Loc Obj_id_i int(10) unsigned NO MUL NULL
Loc Location varchar(100) NO NULL
Loc Roww mediumint(8) unsigned NO NULL
Loc Description varchar(150) NO NULL
Loccell id int(10) unsigned NO PRI NULL auto_increment
Loccell Cell_id int(10) unsigned NO MUL NULL
Loccell Loc_id int(10) unsigned NO NULL
Obj id int(10) unsigned NO PRI NULL auto_increment
Obj Ident varchar(20) NO UNI NULL
Obj Name varchar(200) NO NULL
Obj Unit varchar(64) NO NULL
Obj Objtype_id tinyint(3) unsigned NO MUL NULL
Obj Page int(10) unsigned NO NULL
Obj Wiki_id tinyint(3) unsigned NO NULL
Obj Newest int(10) unsigned NO MUL NULL
Objinfo id int(10) unsigned NO PRI NULL auto_increment
Objinfo Obj_id int(10) unsigned NO MUL NULL
Objinfo Acttype_id tinyint(3) unsigned NO NULL
Objinfo Who varchar(50) NO NULL
Objinfo Comments varchar(250) NO NULL
Objinfo Moment timestamp NO CURRENT_TIMESTAMP
Res id bigint(20) unsigned NO PRI NULL auto_increment
Res Cell_id int(12) unsigned NO MUL NULL
Res Obs int(10) unsigned NO NULL
Res Result float NO NULL
Resinfo id bigint(20) unsigned NO PRI NULL auto_increment
Resinfo Restext varchar(250) NO NULL
Resinfo Who varchar(50) NO NULL
Resinfo When timestamp NO CURRENT_TIMESTAMP
Resinfosec Resinfosec must have the identical structure to Resinfo.
Ressec Ressec must have the identical structure to Res.
⇤--5: . We should add Res.Formula_id. --Jouni 21:50, 30 December 2009 (UTC) (type: truth; paradigms: science: attack)
⇤--9: . Cell.Obj_id_r should be renamed Cell.Act_id. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
----14: . Should we move Obj.Unit to Cell? This may be useful, because different columns in an object (especially a study) may have different units. On the other hand, it will make things more complicated. This does not work unless we develop a good interface for entering units to different columns. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: comment)
⇤--15: . Do we really need Obj.Newest? It is just redundant, although it may save computing time at some point. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
←--': . Yes we need it. --Juha Villman 11:12, 4 January 2010 (UTC) (type: truth; paradigms: science: defence)
⇤--16: . I think that Resinfo.Who and Resinfo.When should rather be merged with Act. Then, when a user uploads new data (even a single line with a wiki form), the upload would always have a new act_id with a timestamp. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
⇤--17: . Resinfo.Restext should rather be a text field, not varchar with a fixed length. Is there a difference? --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
←--18: . Varchar is almost always faster. We should stick to it --Juha Villman 11:12, 4 January 2010 (UTC) (type: truth; paradigms: science: defence)
⇤--18: . The Log table must be read protected. We must give the users an opportunity to use the data without other users being able to know about that. In contrast, uploading data is something that should be open information. --Jouni 06:27, 5 January 2010 (UTC) (type: truth; paradigms: science: attack)
⇤--19: . Loc.Roww should be removed, because it is based on old thinking that did not work out. --Jouni 21:00, 5 January 2010 (UTC) (type: truth; paradigms: science: attack)
⇤--20: . A problem: The data of one object can be uploaded at several times, e.g. if the object is the result of an online survey. Therefore, the act.id is not an unique identifier for a full data. This can be clarified by adding two different act types: upload data (replace) and upload data (append). The previous starts a new dataset that replaces the previous one, while the latter simply adds new data points to the existing data. Two problems still remain:
  1. The nomenclature should be clarified: what is upload, act, and what is the collection of data?
  2. There should be a unambiguous (and hopefully simple) way of performing queries so that all appends of the same data are included. --Jouni 10:34, 6 January 2010 (UTC) (type: truth; paradigms: science: attack)
----21: . Solution: A new field act.bunch_id is the id of the latest act.id of upload data (replace) for that object. This can be updated automatically. All uploads are used where obj.newest eq act.bunch_id and act.id eq cell.act_id. --Jouni 10:34, 6 January 2010 (UTC) (type: truth; paradigms: science: comment)

We need a query for updating act.series_id based on information from act, actobj and obj tables. This is the first attempt, but does not work yet:

SELECT * FROM actobj AS appobj LEFT JOIN act AS appends ON appobj.act_id = appends.id LEFT JOIN actobj AS repobj ON repobj.obj_id = appobj.obj_id LEFT JOIN act AS replaces ON repobj.act_id = replaces.id WHERE appends.acttype_id = 5 AND replaces.acttype_id = 4;

Tables with additional information

Tables with additional information
Table Field Type Null Key Default Extra
Item id int(10) unsigned NO PRI NULL auto_increment
Item Sett_id int(10) unsigned NO MUL NULL
Item Obj_id int(10) unsigned NO NULL
Item Fail tinyint(1) unsigned NO MUL NULL
Log id int(10) NO PRI NULL auto_increment
Log ip varchar(15) NO NULL
Log wiki_uid varchar(30) YES NULL
Log wiki_page varchar(30) YES NULL
Log time timestamp NO 0000-00-00 00:00:00
Log query varchar(256) NO NULL
Sett id int(10) unsigned NO PRI NULL auto_increment
Sett Obj_id int(10) unsigned NO MUL NULL
Sett Settype_id tinyint(3) unsigned NO NULL


Tables with lists

Tables with lists
Table Field Type Null Key Default Extra
Acttype id int(10) unsigned NO PRI NULL auto_increment
Acttype Acttype varchar(250) NO UNI NULL
Language id tinyint(3) unsigned NO PRI NULL auto_increment
Language Language varchar(250) NO UNI NULL
Objtype id tinyint(3) NO PRI NULL
Objtype Objtype varchar(30) NO NULL
Settype id tinyint(3) unsigned NO PRI NULL auto_increment
Settype Settype varchar(30) NO NULL
Wiki id tinyint(3) NO PRI NULL
Wiki Url varchar(255) NO NULL
Wiki Wname varchar(20) NO NULL
⇤--10: . Objtype.id and Wiki.id should be auto increments. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)

Show contents of {{#sql-query: SELECT * FROM objtype |objtype}} | {{#sql-query: SELECT * FROM acttype |acttype}} | {{#sql-query: SELECT * FROM wiki |wiki}} | {{#sql-query: SELECT * FROM language |language}} | {{#sql-query: SELECT * FROM settype |settype}}

Tasks performed

⇤--6: . All timestamps (Resinfo.When, Objinfo.Moment) should be renamed to .Time. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
----': . DONE --Juha Villman 11:23, 5 January 2010 (UTC) (type: truth; paradigms: science: comment)
⇤--7: . All column names should start with either a Capital or small letter. --Jouni 12:55, 31 December 2009 (UTC) (type: truth; paradigms: science: attack)
----': . DONE. All table and column names start with small letter. --Juha Villman 08:58, 5 January 2010 (UTC) (type: truth; paradigms: science: comment)

I restructured the Base by adding a few tables (act, actobj, language) and columns (act.temp_id, cell.actobj_id, formula.actobj_id, res.restext, ressec.restext).

The following queries were run to make new connections possible with the new strucure (obj-actobj-cell-act instead of the old poorer way obj-cell-obj as run-objinfo).

This query was used to fetch all the object - upload (run) pairs

SELECT cell.obj_id_v as obj_id, act.id as act_id, cell.obj_id_r as run_id, objinfo.id, act.temp_id FROM objinfo, cell, act WHERE cell.obj_id_r = objinfo.obj_id AND objinfo.id = act.temp_id GROUP BY cell.obj_id_r, cell.obj_id_v;


This query was used to fill the actobj table

INSERT IGNORE INTO actobj (act_id, obj_id) SELECT act.id as act_id, cell.obj_id_v as obj_id FROM objinfo, cell, act WHERE cell.obj_id_r = objinfo.obj_id AND objinfo.id = act.temp_id GROUP BY cell.obj_id_r, cell.obj_id_v ;


This query was used to update the actobj column in the cell table

UPDATE objinfo, cell, act, actobj SET cell.actobj_id = actobj.id WHERE cell.obj_id_r = objinfo.obj_id AND objinfo.id = act.temp_id AND act.id = actobj.act_id AND cell.obj_id_v = actobj.obj_id;

As a result, the Base seemed to work exactly like it should. Note! Existing columns were NOT changed, so that all previous queries should work just like before. However, with the new structure, it is now possible to start updating the queries.

See also

A basic query for retrieving the full result of a variable upload (an example)

{{#sql-query: SELECT obj.ident, obj.name, obj.unit, obj.page, obj.wiki_id, comments, mean, sd, n, location, ind.ident, obs, result, restext FROM obj LEFT JOIN actobj ON actobj.obj_id = obj.id LEFT JOIN act ON actobj.act_id = act.id LEFT JOIN cell ON cell.actobj_id = actobj.id LEFT JOIN loccell ON loccell.cell_id = cell.id LEFT JOIN loc on loccell.loc_id = loc.id LEFT JOIN obj AS ind ON loc.obj_id_i = ind.id LEFT JOIN res ON res.cell_id = cell.id WHERE obj.ident = "Op_en1912" AND actobj.series_id = 190 LIMIT 0,100 }}

Some useful syntax