I have few tables which are joined by some conditions.
What I am trying to achieve is Combine 2 SELECT statements in such way where
If there is data in Condition 1 display them OR go to Condition 2 and display data
Condition 1 - I am getting record from table say for exampleA, B, C and D based on some conditions
Condition 2 - I am getting record from table say for example A, B, C and E based on some conditions
What is am trying to achieve is
Display record if it exists in Condition 1
OR
Display record if it exits in Condition 2
Condition 1/ Query 1 - Display data
async getData() {
try {
const data = await this._conn.query(`
select first_name.value_name,quiz_table.answer, windows,player,first_name.value_id,country_place,current_name, pet_name, marker, relations
from schema_name.plugin,schema_name.quiz_table,schema_name.first_name, schema_name.value_version, schema_name.relationss
where plugin.answer= quiz_table.answer
and quiz_table.windows=first_name.value_id
and marker is not null
and schema_name.value_version.value_id= schema_name.first_name.value_id
and schema_name.value_version.caste= schema_name.first_name.caste
and schema_name.value_version.value_name= schema_name.first_name.value_name
and schema_name.value_version.version_number= schema_name.first_name.version_number
and schema_name.relationss.value_id= schema_name.first_name.value_id
and schema_name.relationss.caste= schema_name.first_name.caste
and schema_name.relationss.value_name= schema_name.first_name.value_name
and schema_name.relationss.version_number= schema_name.first_name.version_number
and schema_name.quiz_table.windows= schema_name.first_name.value_id
and in_process='N'
}
OR
Condition 2/ Query 2 - Display data
select schema_name.relationss."relations", schema_name.quiz_table."answer", schema_name.quiz_table."windows", schema_name.quiz_table."in_process", schema_name.quiz_table."object_name", schema_name.quiz_table."processed_date", schema_name.quiz_table."player", schema_name.quiz_table."country_place", schema_name.tools."mesh_scope_note", schema_name.plugin."current_name", schema_name.plugin."pet_name"
from schema_name.quiz_table, schema_name.tools, schema_name.plugin, schema_name.relationss, schema_name.value_version
where (in_process = 'N'
and schema_name.quiz_table."windows" = schema_name.tools."value_id"
and schema_name.quiz_table."player" = schema_name.tools."language"
and schema_name.quiz_table."answer" = schema_name.plugin."answer"
and schema_name.relationss."language" = schema_name.quiz_table."player"
and schema_name.relationss."language" = schema_name.tools."language"
and schema_name.relationss."caste" = schema_name.tools."caste"
and schema_name.relationss."value_name" = schema_name.tools."value_name"
and schema_name.relationss."version_number" = schema_name.tools."version_number"
and schema_name.relationss."value_id" = schema_name.tools."value_id"
and schema_name.value_version."value_id" = schema_name.tools."value_id"
and schema_name.value_version."version_number" = schema_name.tools."version_number"
and schema_name.value_version."caste" = schema_name.tools."caste"
)
NOTE - 1-> I cannot use function or procedure here.
2-> Both the `Conditions` contains `different data`
The problem is, how will the computer choose which option to go to? A computer does not choose, it can't. You have to provide some metric for which to choose. The boolean operator || (or) is for checking if either is true (declarative-sorta), not for imperative. You can 'ask' "is a or b true?" but you can't tell a computer, "do this or that" without any weight to either one which would explain to the computer which to pick and when.
What would be possible is asking,
"If there is data in Condition 1 display them; if not, go to Condition 2 and display data".
If that suits your needs, this is how it could be coded (this is just the framework).
if (data1 != null) {
show data1
}
else {
show data2
}
Or your data could be non-null, but have no contents, in which you could try to get some data from it (say, getChildren() (totally random, I'm just making that up):
if (data1.getChildren() != null) {
show data1
}
else {
show data2
}
I hope you know that this is just pseudocode for the theory of it. show_ is not actual code, it's just the placeholder for whatever you would write. Would this work - checking if it is null and/or checking if its contents are null (i.e., it's empty/without data) and if so then going to the next dataset?
I don't know sql, but I thought that idea of check-null/check-contents-null might help.
Related
Getting to grips with Linq and I have a query that contains alot of joins to other tables.
I won't put the whole query here as it's not really relevant to my actual question.
I'm wondering which is the better way to write my query and why?
Query 1 :
var query = from team in context.tblTeams
join manager in context.tblManagers on team.fkManager equals manager.pkManager into managerJoin
from manager in managerJoin.DefaultIfEmpty()
join colour in context.tblTeamColours on team.fkTeamColour equals colour.pkTeamColour into colourJoin
from colour in colourJoin.DefaultIfEmpty()
join sponser in context.tblSponsers on team.fkSponser equals sponser.pkSponser into sponserJoin
from sponser in sponserJoin.DefaultIfEmpty()
select new TeamView
{
pkTeam = team.pkTeam,
strManager = manager.strManagerName,
strTeamColour = colour.strColour,
strSponser = sponser.strSponser
};
Query 2:
var query = from team in context.tblTeams
from manager in context.tblManagers.Where(x => x.pkManager == team.fkManager).DefaultIfEmpty()
from colour in context.tblTeamColours.Where(x => x.pkTeamColour == team.fkTeamColour).DefaultIfEmpty()
from sponser in context.tblSponsers.Where(x => x.pkSponser == team.fkSponser).DefaultIfEmpty()
select new TeamView
{
pkTeam = team.pkTeam,
strManager = manager.strManagerName,
strTeamColour = colour.strColour,
strSponser = sponser.strSponser
};
They both seem to take pretty much the same amount of time to run. I'm just wondering if there is any difference other than readability?
With 33 joins in the full query the second method seems neater and easier to read to me.
Alternatively, how else can I write the query which could make it faster?
Using MySQL Latest Django:
I have a vaguely complex Django query that works quite quickly--until I add an additional "AND" with a Boolean Field--
See Below:
queriedForms = queryFormtype.form_set.filter(is_public=True)
newQuery = queriedForms.filter(formrecordattributevalue__record_value__icontains=term['TVAL'], formrecordattributevalue__record_attribute_type__pk=rtypePK)
newQuery = newQuery.filter(flagged_for_deletion=False)
logger.info(newQuery.query)
term['count'] = newQuery.count()
If I either remove the initial "is_public=True" or the final "flagged_for_deletion=False)--it works incredibly fast. If I use both as filters, it increases the time for the count() function by something like 2000%
The different QuerySet.query outputs are below:
SELECT `maqluengine_form`.`id`, `maqluengine_form`.`form_name`, `maqluengine_form`.`form_number`, `maqluengine_form`.`form_geojson_string`, `maqluengine_form`.`hierarchy_parent_id`, `maqluengine_form`.`is_public`, `maqluengine_form`.`project_id`, `maqluengine_form`.`date_created`, `maqluengine_form`.`created_by_id`, `maqluengine_form`.`date_last_modified`, `maqluengine_form`.`modified_by_id`, `maqluengine_form`.`sort_index`, `maqluengine_form`.`form_type_id`, `maqluengine_form`.`flagged_for_deletion` FROM `maqluengine_form` INNER JOIN `maqluengine_formrecordattributevalue` ON (`maqluengine_form`.`id` = `maqluengine_formrecordattributevalue`.`form_parent_id`) WHERE (`maqluengine_form`.`form_type_id` = 319 AND `maqluengine_form`.`is_public` = True AND `maqluengine_formrecordattributevalue`.`record_value` LIKE %seal% AND `maqluengine_formrecordattributevalue`.`record_attribute_type_id` = 18510 AND `maqluengine_form`.`flagged_for_deletion` = False)
SELECT `maqluengine_form`.`id`, `maqluengine_form`.`form_name`, `maqluengine_form`.`form_number`, `maqluengine_form`.`form_geojson_string`, `maqluengine_form`.`hierarchy_parent_id`, `maqluengine_form`.`is_public`, `maqluengine_form`.`project_id`, `maqluengine_form`.`date_created`, `maqluengine_form`.`created_by_id`, `maqluengine_form`.`date_last_modified`, `maqluengine_form`.`modified_by_id`, `maqluengine_form`.`sort_index`, `maqluengine_form`.`form_type_id`, `maqluengine_form`.`flagged_for_deletion` FROM `maqluengine_form` INNER JOIN `maqluengine_formrecordattributevalue` ON (`maqluengine_form`.`id` = `maqluengine_formrecordattributevalue`.`form_parent_id`) WHERE (`maqluengine_form`.`form_type_id` = 319 AND `maqluengine_form`.`is_public` = True AND `maqluengine_formrecordattributevalue`.`record_value` LIKE %seal% AND `maqluengine_formrecordattributevalue`.`record_attribute_type_id` = 18510)
The first takes about 20/30 seconds to perform the count(), while the second with only 1 of the two BooleanField's takes less than a second to perform the count()
=======================================
EDIT=======================
Apologies: since the question isn't obvious enough--why is adding an additional AND with a BooleanField increasing the query time by +2000%? Is anyone able to assist in figuring out WHY that's occurring. Thanks.
EDIT=========================
Also discovered that using a exclude(is_public=False) rather than filter(is_public=True) has the same effect as the solution below. Does anyone happen to know why an exclude() works fine--whereas the filter() does not?
==============================
Solution I came up with after a night's rest:
--I keep the query as is(I need it for later because it continues getting chain filtered)
--I need the count() from this stage--which is taking substantially longer than it should with the additional BooleanField AND
--I take a temporary values list to perform a len() on instead:
queriedForms = queryFormtype.form_set.all()
newQuery = queriedForms.filter(formrecordattributevalue__record_value__icontains=term['TVAL'], formrecordattributevalue__record_attribute_type__pk=rtypePK)
newQuery = newQuery.filter(flagged_for_deletion=False)
tempQuery = newQuery.values_list('is_public',flat=True)
finalQuery = [entry for entry in tempQuery if entry != 'False'] #Remove any indices that contain "False"
term['count'] = len(finalQuery)
The following counts that use chained filters after use the same technique--it's significantly faster--if not as fast as removing one of the Booleans from the filters.
So I need to screen scrape data off a website and return it to a spreadsheet based off if a charge amount matched as well the date was the most recent in the table. If there was simply one line in the table, the macro pulls that accordingly. So most of the code is good, I am connected to the website, pulling everything effectively. Where I am struggling is getting the logic to work where the two amounts match as well as the date being the most recent in the HTML table.
I guess what my question is how do I loop through Item(5) the column of that table and specify it to choose the most recent date, also setting the value so that it only finds the one equal to the charge amount. I only want a one to one match. I am new to this so if anyone wants to help me I would greatly appreciate it.
Set IHEC = iHTMLDoc.getElementsByTagName("TR")
If IHEC.Length > 2 Then
For index = 0 to IHEC.Length - 1
Set IHEC_TD = IHEC.Item(index).getElementsByTagName("TD")
Do Until IHEC.Length <2 Or index = IHEC.Length - 1
If IHEC.TD.Item(3).innerText = myBilledAmount Then
myItem1 = IHEC_TDItem(0).innerText
myItem2 = IHEC_TDItem(1).innerText
myItem3 = IHEC_TDItem(2).innerText
myItem4 = IHEC_TDItem(3).innerText
myItem5 = IHEC_TDItem(4).innerText
myItem6 = IHEC_TDItem(5).innerText
myItem7 = IHEC_TDItem(6).innerText
myItem8 = IHEC_TDItem(7).innerText
myItem9 = IHEC_TDItem(8).innerText
End If
End If
Loop
Next Index
i've a problem and i can't find an easy solution.
I have self expanding stucture made in this way.
database1 | table1
| table2
....
| table n
.
.
.
databaseN | table 1
table 2
table n
each table has a structire like this:
id|value
each time a number is generated is put into the right database/table/structure (is divided in this way for scalability... would be impossible to manage table of billions of records in a fas way).
the problem that N is not fixed.... but is like a base for calculating numbers (to be precise N is known....62 but I can onlyuse a subset of "digits" that could be different in time).
for exemple I can work only with 0 1 and 2 and after a while (when I've done all the possibilities) I want to add 4 and so on (up to base 62).
I would like to find a simple way to find the 1st free slot to put the next randomly generated id but that could be reverted.
Exemple:
I have 0 1 2 3 as numbers I want use....
the element 2313 is put on dabase 2 table 3 and there will be 13|value into table.
the element 1301 is put on dabase 1 table 3 and there will be 01|value into table.
I would like to generate another number based on the next free slot.
I could test every slot starting from 0 to the biggest number but when there will be milions of records for every database and table this will be impossible.
the next element of the 1st exemple would be 2323(and not 2314 since I'm using only the 0 1 2 3 digits).
I would like som sort of invers code in mysql to give me the 23 slot on table 3 database 2 to transform it into the number. I could randomly generate a number and try to find the nearest free up and down but since the set is variable could not be a good choice.
I hope it will be clear enought to tell me any suggestion ;-)
Use
show databases like 'database%' and a loop to find non-existent databases
show tables like 'table%' and a loop for tables
select count(*) from tableN to see if a table is "full" or not.
To find a free slot, walk the database with count in chunks.
This untested PHP/MySQL implementation will first fill up all existing databases and tables to base N+1 before creating new tables or databases.
The if(!$base) part should be altered if another behaviour is wanted.
The findFreeChunk can also be solved with iteration; but I leave that effort to You.
define (DB_PREFIX, 'database');
define (TABLE_PREFIX, 'table');
define (ID_LENGTH, 2)
function findFreeChunk($base, $db, $table, $prefix='')
{
$maxRecordCount=base**(ID_LENGTH-strlen($prefix));
for($i=-1; ++$i<$base;)
{
list($n) = mysql_fetch_row(mysql_query(
"select count(*) from `$db`.`$table` where `id` like '"
. ($tmp = $prefix. base_convert($i, 10, 62))
. "%'"));
if($n<$maxRecordCount)
{
// incomplete chunk found: recursion
for($k=-1;++$k<$base;)
if($ret = findFreeChunk($base, $db, $table, $tmp)
{ return $ret; }
}
}
}
function findFreeSlot($base=NULL)
{
// find current base if not given
if (!$base)
{
for($base=1; !$ret = findFreeSlot(++$base););
return $ret;
}
$maxRecordCount=$base**ID_LENGTH;
// walk existing DBs
$res = mysql_query("show databases like '". DB_PREFIX. "%'");
$dbs = array ();
while (list($db)=mysql_fetch_row($res))
{
// walk existing tables
$res2 = mysql_query("show tables in `$db` like '". TABLE_PREFIX. "%'");
$tables = array ();
while (list($table)=mysql_fetch_row($res2))
{
list($n) = mysql_fetch_row(mysql_query("select count(*) from `$db`.`$table`"));
if($n<$maxRecordCount) { return findFreeChunk($base, $db, $table); }
$tables[] = $table;
}
// no table with empty slot found: all available table names used?
if(count($tables)<$base)
{
for($i=-1;in_array($tmp=TABLE_PREFIX. base_convert(++$i,10,62),$tables););
if($i<$base) return [$db, $tmp, 0];
}
$dbs[] = $db;
}
// no database with empty slot found: all available database names used?
if(count($dbs)<$base)
{
for($i=-1;in_array($tmp=DB_PREFIX.base_convert(++$i,10,62),$dbs););
if($i<$base) return [$tmp, TABLE_PREFIX. 0, 0];
}
// none: return false
return false;
}
If you are not reusing your slots or not deleting anything, you can of course dump all this and simply remember the last ID to calculate the next one.
SELECT ica.CORP_ID, ica.CORP_IDB, ica.ITEM_ID, ica.ITEM_IDB,
ica.EXP_ACCT_NO, ica.SUB_ACCT_NO, ica.PAT_CHRG_NO, ica.PAT_CHRG_PRICE,
ica.TAX_JUR_ID, ica.TAX_JUR_IDB, ITEM_PROFILE.COMDTY_NAME
FROM ITEM_CORP_ACCT ica
,ITEM_PROFILE
WHERE (ica.CORP_ID = 1000)
AND (ica.CORP_IDB = 4051)
AND (ica.ITEM_ID = 1000)
AND (ica.ITEM_IDB = 4051)
AND ica.EXP_ACCT_NO = ITEM_PROFILE.EXP_ACCT_NO
I'm trying basically say since the exp account code is '801500' then the Name should return "Miscellaneous Medic...".
It seems as if what you are showing is not possible. Have you edited the data in the editor??? You are joining using ica.EXP_ACCT_NO = ITEM_PROFILE.EXP_ACCT_NO . Therefore, every entry with EXP_ACCT_NO = 801500, should also have the same COMDTY_NAME.
However, it could be the case that your IDs are not actually numbers and that they are strings with whitespace (801500__ vs 801500 ). But since you are not performing a left-outer join, it would also mean you have an entry in ITEM_PROFILE with the same whitespace.
You also need to properly normalize your table data (unless this is a view) but it still means you have erroneous data.
Try to perform the same query, but using the TRIM function to remove whitespace: https://stackoverflow.com/a/6858168/1688441 .
Example:
SELECT ica.CORP_ID, ica.CORP_IDB, ica.ITEM_ID, ica.ITEM_IDB,
ica.EXP_ACCT_NO, ica.SUB_ACCT_NO, ica.PAT_CHRG_NO, ica.PAT_CHRG_PRICE,
ica.TAX_JUR_ID, ica.TAX_JUR_IDB, ITEM_PROFILE.COMDTY_NAME
FROM ITEM_CORP_ACCT ica
,ITEM_PROFILE
WHERE (ica.CORP_ID = 1000)
AND (ica.CORP_IDB = 4051)
AND (ica.ITEM_ID = 1000)
AND (ica.ITEM_IDB = 4051)
AND trim(ica.EXP_ACCT_NO) = trim(ITEM_PROFILE.EXP_ACCT_NO);