Explanation- In column "Raw content" i am having data like -MSH|^~\&|PYXIS|SJO|PHA|SJF1|201707171217||ACK|587044650|P|2.2|0| MSA|AA|587044650|....... Message in each row in b/w MSH data is different and i need to search for all the rows having MSH|* |* |CACPA| in place of SJO as shown in above example.. *(astric) means any value
What SQL query should be any suggestion?
Fix your data structure! You should not be storing multiple values in a single column. Instead, you should have a separate table with one row per whatever and per color. That is the right way to use a relational database.
That said, sometimes we are stuck with other people's really bad design decisions. There is a way around this:
where concat('|', colors, '|') not like '%|Red|%'
Related
For some time now I have the impression that a field and a column are the same thing in SQL server but today I stumbled across the statement that they are not actually the same thing. It was stated that a field is the intersection of a row and a column, so if a table has 10 rows and 10 columns it will have 100 fields in total.
I looked at Microsoft Docs and this is what it says:
A column is collection of cells aligned vertically in a table. A field is an element in which one piece of information is stored, such as the eceived field. Usually, a column in a table contains the values of a single field.
In this case then it looks like they are not the same thing.
I would highly appreciate it if someone can clarify this! Thank you in advance!
A field is part of a row, not a table, a "column of a row", if you will.
However, a lot of people use these terms interchangeably, and you can (read: have to) often deduce what they actually meant by the context of the sentence.
In some contexts, a field may refer to an element within a data value, where a column contains the entire data value. A common example is a date data type, where the month, day, and year are fields within the column. Spatial data types (e.g., the PostGIS data type in Postgres) is another example, where the x coordinate, y coordinate, and spatial reference ID are all fields within the column. Some kinds of identifiers have application-specific fields within them, where, for example, the first two characters carry some information, the next four characters convey some other information, etc. In cases like these, the distinction between column and field is important.
I have a 4x4 table in SQL with 20 rows. I want to split this data into four pages. Page 1 has the first 10 rows of the first column, Page 2 has the first 10 rows of the second column, etc.
After every four pages, this patern repeats showing the next 10 rows from the first column, etc. How can I arrange this?
I could arrange the data of the 4x4 table into another temporary table with just one column in its schema. Then I could read a single column of this table into my report. But can I instead do this directly without an intermediary table?
The intermediary table sounds like the best solution to me. I'd just write a custom SQL command in Crystal's Database Expert to arrange the data as you see fit.
You could in theory pull this off with repeating subreports in some manner of repeating header, but it would be much less work to have SQL properly format the incoming data for you.
Fist, let me say I know very little about SQL language and am trying to learn (albeit very slowly). I have created a database table with columns for
ECOREGION_ID
ECOREGION_NAME
SPECIES_NAME
CLASS
so that there is one row for each species name in each ecoregion. My end goal is to create a form in which I can enter in multiple species names and search for the ecoregions they share. For example, if I enter into the 4 different search boxes "Tiger", "Red Panda", "Sloth Bear", and "Rhino" it would bring up a list of all the Ecoregions in which these four species share. I am wondering a few things:
Is my data set up in the correct way in order to do this or is there a more efficient way to set i t up?
What statement should I use to create an sql statement to perform the search I want?
What is the technical term for what I am wanting to do? I have tried many different searches on different forums and can't seem to find what I am looking for, mostly because I probably don't know what to search, lol.
Thanks,
-Drew
You have ECORegion_ID and ECORegion_Name in the same table. I would suggest create a separate table to hold ECORegions. This table would have both an ID and Name. The search table would then only have the ECORegion_ID. This process is called normalization. It basically reduces redundant data in your database.
You are looking for a SELECT statement, which is used to pull data out of one or more tables. The statement has a WHERE option to restrict which rows you bring back and an IN expression as part of the WHERE to allow you to look for multiple keywords.
Search for Normalization to see why to put region name in a separate table. Look up SQL Select to get syntax for the select statement you should get off to a good start
I have a database extract in excel and want to create a custom value in Tablue using their create calculation, which I believe is SQL based.
Basically I have a large number of feeds which all show up different amounts in a column. For example:
feed 1
feed 1
feed 2
feed 3
feed 4
feed 4
feed 4
And I want to have a sum for feed 1, feed 2, and feed 4. But in my actual DB there's about 100 feeds all with different number of appearances. I'm having troubles finding a good way to do this. If there even is one. Any help or direction would be appreciated!
I'm assuming that your list is a single column and you need a count of the number of occurrences of each feed. For the sake of example, since a column or table names were not supplied, let's call them colname and tablename.
select colname, count(*) as Ct from tablename group by colname
It would be easier to give an exact answer if you posted a small simplified subset of your spreadsheet. But assuming you have a column called "feed_name" which takes on values like "feed 1", "feed 2" etc depending on the row. Then the feed_name column should be a discrete dimension in Tableau.
Then just put the feed_name pill on a shelf, say the row shelf. And put the "Number of Records" field on another shelf, say the column shelf.
You don't need to write SQL to do this (or most tasks) in Tableau. It helps to understand SQL concepts and its very helpful to drop down to the SQL level when needed to solve tricky issues. But for most situations, you can just interactively explore the data by moving fields around and writing some simple calculations -- and let Tableau take care of generating the SQL necessary to retrieve the data needed to build the visualization you requested.
Tableau supports SQL and some NO-SQL data sources, along with some cubes too. It does that quite well and in multiple ways. You just can work more quickly and efficiently by using Tableau's visual based manipulations in most cases, and then drop to the lower level detail when needed. It just takes getting used to how Tableau operates.
Say I have a table in a PowerPivot that looks like this:
For each row, I want to find the minimum value across Columns 1, 2 and 3 and display that value in the column "MinColumn". The built-in MIN function only seems to operate on a column though, and not a row.
Is there any way to do this, other than some kind of nested IF expression? If we have a lot of columns to compare, that would get very messy, very quickly.
PowerPivot/DAX does some great column-based stuff (to be expected given it's use of xVelocity) but seems to get complex when you start looking at row-level functionality.
Another option is to push the calculation down to the source.
For example, if your source is a database table, you could create a view (or simply use a named query) and calculate the MIN (across the 3 other columns) before you pull the data into PowerPivot.
Note: the TSQL version would also be fairly ugly, PIVOT + MIN() OVER()