I'm still new to SQL and I was wondering if there is a way to split a delimited column into multiple rows.
Here's my table:
|---------------------|------------------|
| ID | Name |
|---------------------|------------------|
| 12 | a##b##c##d |
|---------------------|------------------|
Expected output:
|---------------------|------------------|
| ID | Name |
|---------------------|------------------|
| 12 | a |
|---------------------|------------------|
| 12 | b |
|---------------------|------------------|
| 12 | c |
|---------------------|------------------|
| 12 | d |
|---------------------|------------------|
Related
the supply table:
supply_id | title | author | price | amount |
+-----------+----------------+------------------+--------+--------+
| 1 | Лирика | Пастернак Б.Л. | 518.99 | 2 |
| 2 | Черный человек | Есенин С.А. | 570.20 | 6 |
| 3 | Белая гвардия | Булгаков М.А. | 540.50 | 7 |
| 4 | Идиот | Достоевский Ф.М. | 360.80 | 3
I am trying to insert into book , all the values from supply:
+---------+-----------------------+------------------+--------+--------+
| book_id | title | author | price | amount |
+---------+-----------------------+------------------+--------+--------+
| 1 | Мастер и Маргарита | Булгаков М.А. | 670.99 | 3 |
| 2 | Белая гвардия | Булгаков М.А. | 540.50 | 5 |
| 3 | Идиот | Достоевский Ф.М. | 460.00 | 10 |
| 4 | Братья Карамазовы | Достоевский Ф.М. | 799.01 | 2 |
| 5 | Стихотворения и поэмы | Есенин С.А. | 650.00 | 15 |
+---------+-----------------------+------------------+--------+--------+
insert into book(title,author,price,amount)
select * from supply;
the primary ids conflict with each other - both tables start with id '1'
ERROR 1136: Column count doesn't match value count at row 1
Your columns in insert and select mismatches. You need to give explicit names of the columns instead of * in SELECT clause.
Try this:
insert into book(title,author,price,amount)
select title,author,price,amount from supply;
I am running PostgreSQL 12.4. I have a relatively large table like the following where column 1 and 2 are both of character varying type:
|---------------------|------------------|
| Column 1 | Column 2 |
|---------------------|------------------|
| foo | X |
|---------------------|------------------|
| foo | Y |
|---------------------|------------------|
| foo | Z |
|---------------------|------------------|
| bar | A |
|---------------------|------------------|
| bar | B |
|---------------------|------------------|
| bar | C |
|---------------------|------------------|
I would like to create something like the following:
|---------------------|------------------|
| Column 1 | Column 2 |
|---------------------|------------------|
| foo | X, Y, Z |
|---------------------|------------------|
| bar | A, B, C |
|---------------------|------------------|
Is there an easy way to do this?
You can use string_agg:
select column1, string_agg(column2, ', ')
from table_name
group by column1
You can find more info here.
I have 2 tables, tableStock and tableParts:
tableStock
+----+----------+-------------+
| ID | Num_Part | Description |
+----+----------+-------------+
| 1 | sr37 | plate |
+----+----------+-------------+
| 2 | sr56 | punch |
+----+----------+-------------+
| 3 | sl30 | crimper |
+----+----------+-------------+
| 4 | mp11 | holder |
+----+----------+-------------+
tableParts
+----+----------+-------+
| ID | Location | Stock |
+----+----------+-------+
| 1 | A | 2 |
+----+----------+-------+
| 3 | B | 5 |
+----+----------+-------+
| 5 | C | 2 |
+----+----------+-------+
| 7 | A | 1 |
+----+----------+-------+
And I just want to do this:
+----+----------+-------------+----------+-------+
| ID | Num_Part | Description | Location | Stock |
+----+----------+-------------+----------+-------+
| 1 | sr37 | plate | A | 2 |
+----+----------+-------------+----------+-------+
| 2 | sr56 | punch | NULL | NULL |
+----+----------+-------------+----------+-------+
| 3 | sl30 | crimper | B | 5 |
+----+----------+-------------+----------+-------+
| 4 | mp11 | holder | NULL | NULL |
+----+----------+-------------+----------+-------+
List ALL the rows of the first table and if the second table has the info, in this case 'location' and 'stock', add to the column, if not, just null.
I have been using inner and left join but some rows of the first table disappear because the lack of data in the second one:
select tableStock.ID, tableStock.Num_Part, tableStock.Description, tableParts.Location, tableParts.Stock from tableStock inner join tableParts on tableStock.ID = tableParts.ID;
What can I do?
You can use left join. Here is the demo.
select
s.ID,
Num_Part,
Description,
Location,
Stock
from Stock s
left join Parts p
on s.ID = p.ID
order by
s.ID
output:
| id | num_part | description | location | stock |
| --- | -------- | ----------- | -------- | ----- |
| 1 | sr37 | plate | A | 2 |
| 2 | sr56 | punch | NULL | NULL |
| 3 | sl30 | crimper | B | 5 |
| 4 | mp11 | holder | NULL | NULL |
Here is what I want to do:
I have this table
+----+-------------+
| id | data |
+----+-------------+
| 1 | max |
| 2 | linda |
| 3 | sam |
| 4 | henry |
+----+-------------+
and I want to Update the data with concatenating Id column with data, which will look like this:
+----+-------------+
| id | data |
+----+-------------+
| 1 | max1 |
| 2 | linda2 |
| 3 | sam3 |
| 4 | henry4 |
+----+-------------+
Sounds like this is basically what you want (T-SQL, Other platforms may have different methods for type conversion and concatenation):
update myTable
set data=data+convert(varchar(50),id)
I have a master table (Project List) along with several sub tables that are joined on one common field (RecNum). I need to get totals for all of the sub tables, by column and am not sure how to do it. This is a sample of the table design. There are more columns in each table (I need to pull * from "Project List") but I'm showing a sampling of the column names and values to get an idea of what to do.
Project List
| RecNum | Project Description |
| 6 | Sample description |
| 7 | Another sample |
WeekA
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 6 | NotMe | 1 | 2 | 3 | 4 | 5 | 6 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
WeekB
| RecNum | UserName | Day1Reg | Day1OT | Day2Reg | Day2OT | Day3Reg | Day3OT |
| 6 | JustMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 6 | NotMe | 7 | 8 | 1 | 2 | 3 | 4 |
| 7 | JustMe | | | | | | |
| 7 | NotMe | | | | | | |
So the first query should return the complete totals for both users, like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 40 | 52 |
| 7 | Another sample | 0 | 0 |
The second query should return the totals for just a specified user, (WHERE UserName = 'JustMe') like this:
| RecNum | Project Description | sumReg | sumOT |
| 6 | Sample description | 20 | 26 |
| 7 | Another sample | 0 | 0 |
Multiple parallel tables with the same structure is usually a sign of poor database design. The data should really be all in one table, with additional columns specifying the week.
You can, however, use union all to bring the data together. The following is an example of a query:
select pl.recNum, pl.ProjectDescription,
sum(Day1Reg + Day2Reg + Day3Reg) as reg,
sum(Day1OT + Day2OT + Day3OT) as ot
from ProjectList pl join
(select * from weekA union all
select * from weekB
) w
on pl.recNum = w.recNum
group by l.recNum, pl.ProjectDescription,;
In practice, you should use select * with union all. You should list the columns out explicitly. You can add appropraite where clauses or conditional aggregation to get the results you want in any particular case.