I have a table containing a column with paths and the others one with tables
My goal is to add the path to all the tables in the 2nd column, here is an example of what I want to achieve (Originally Table1 and Table2 doesn't have the path column and I want to add it):
Path
Data
C:/My/Path
[Table1]
C:/My/Second/Path
[Table2]
In Table1:
Data
Path
SomeData
C:/My/Path
SomeOtherData
C:/My/Path
In Table2:
Data
Path
MoreData
C:/My/Second/Path
I tried to use AddColumn in my subtable but I don't know how to access the data of the main table from there:
= Table.AddColumn(Query1, "Custom", each Table.AddColumn([Data], "Path", each [Path]))
// Doesn't work because I can't access [Path] which is from the main table in the subtable
So how can I access the data from my main table to add it to my subtable?
Try this.
= Table.AddColumn(
#"Renamed Columns",
"New",
(o)=>Table.AddColumn(
o[Data],
"Path",
each o[Path],
type text
),
type table
)
Related
I have two views, the second one depends on the data from the first and adds some columns from a different table.
In sql developer I define the views as follows:
view1:
select col11, col12, col13, col14, col15, col15, col16, col17
from table1
view2:
select view1.*, col22, col23
from view1 join table2 on view1.col11 = table2.col21
But when after saving, sqldeveloper expands the "view1.*" part of the second view to the explicit list of columns, so view2 ends up being rewritten as:
select view1.col11, view1.col12, view1.col13, view1.col14, view1.col15, view1.col15, view1.col16, view1.col17, col22, col23
from view1 join table2 on view1.col11 = table2.col21
which is harder to read and to mantain.
Is there a way to prevent this behavior?
Thanks
That's not SQL Developer doing that, it's the database.
You can create the view using the * syntax, but the database will always translate that to a fully qualified SELECT list.
CREATE VIEW LOCS
AS select * from locations;
Now ask the DB for the DDL, and you get
CREATE OR REPLACE FORCE EDITIONABLE VIEW "HR"."LOCS" (
"LOCATION_ID",
"STREET_ADDRESS",
"POSTAL_CODE",
"CITY",
"STATE_PROVINCE",
"COUNTRY_ID"
) AS
SELECT
"LOCATION_ID",
"STREET_ADDRESS",
"POSTAL_CODE",
"CITY",
"STATE_PROVINCE",
"COUNTRY_ID"
FROM
locations;
The view is defined at run-time, it'll take the existing column list and assume you want the same column names in your view as you want in the underlying objects where those columns are being pulled from.
From the Docs -
Expansion of Defining Queries at View Creation Time When a view is
created, Oracle Database expands any wildcard (*) in a top-level view
query into a column list. The resulting query is stored in the data
dictionary; any subqueries are left intact. The column names in an
expanded column list are enclosed in quote marks to account for the
possibility that the columns of the base object were originally
entered with quotes and require them for the query to be syntactically
correct.
I have the below Nested table created :
create or replace TYPE access_t AS OBJECT (
AccessID VARCHAR2(50),
Eligibility char(1)
);
/
create or replace TYPE Access_tab IS TABLE OF access_t;
/
create or replace TYPE add_t AS OBJECT (
city VARCHAR2(100),
state VARCHAR2(100),
zip VARCHAR2(10),
APOINTSARRAY Access_tab )
;
/
create or replace TYPE add_tab IS TABLE OF add_t;
/
CREATE TABLE RQST_STATUS
( RQST_ID NUMBER,
ADDRESS add_tab
)
NESTED TABLE ADDRESS STORE AS RQST_STATUS_ADDRESS
( NESTED TABLE APOINTSARRAY STORE AS RQST_STATUS_AP)
;
If i need to change ADDRESS type to new_add_tab with some additional columns instead of add_tab , Can i just use ALTER TABLE .. MODIFY .. command ?
I am getting ORA-00922 or ORA-22913 errors . I cannot change the type directly because it is used somewhere else too. Also, the table is already loaded with data.
Please suggest.
You can do that but you have to alter the TYPE not the TABLE.
Check the documentation ALTER TYPE Statement: alter_method_spec
Most important is the CASCADE key word.
Examples:
ALTER TYPE access_t ADD ATTRIBUTE NEW_Eligibility INTEGER CASCADE;
ALTER TYPE access_t DROP ATTRIBUTE Eligibility CASCADE;
ALTER TYPE access_t MODIFY ATTRIBUTE AccessID VARCHAR2(100) CASCADE;
Here is a step-by-step description of my suggestion. It might not be the most elegant, but I think that it would be best for you to have something you can fully understand (as opposed to an obscure trick).
Also, and since I don't really know what kind of changes you need to do for the internal table, I'm leaving the maximal flexibility for you to do any change you may wish to do.
Let's call your table T1 that contains a columns C_T which is your internal table.
The internal table contains columns C_1, C-2 and C_3, and you want the new structure for the record to be D_1, D_2, D_3, D_4 and D_5, where the mapping is:
C_1 -> D_5,
C_2 -> D_1,
C_3 -> D_2,
{new} -> D_3,
{new} -> D_4.
Create a tempo table TEMPO_T with a column SOURCE_ROWID (varchar2(64)) and the new columns D_1,..., D5.
Write a small anonymous block having a cursor that selects the ROWID of each row of table T1 and all the records within the internal table in column C_T (order by ROWID). The result would look like (this is just an example of course):
ROWID C_1 C_2 C_2
wwereeedffff 1 a ww
wwereeedffff 2 b xx
wwereeedffff 7 l yy
ertrtrrrtrrr 5 d PP
ertrtrrrtrrr 99 h mm
...
[Note: The use of ROWID is under the assumption that you don't have a column that can serve as a unique identifier for each row in table T1; if there is such column - one defined as UNIQUE INDEX - you can use that field instead]
Having this query ready, convert it into an INSERT into the temporary table TEMPO_T along with whatever values you need to store for columns D_3 and D_4.
Now, you have a backup of the original contents of column C_T and hence can delete the column.
Now, you can update the type that defines the structure of column C_T to its new form (i.e. D_1,...,D_5) and alter table T1 by adding a column whose type is the updated one.
Finally, you can insert the contents of column C_T with that stored in the temporary table (since you already have this, I assume that you know how to implement it - inserting a table within a cell column of the outer table).
That's it.
Needless to say, I would make a backup of your data before engaging into this.
Hope this description is detailed enough to enable you to complete the task at hand.
I'm completely new to Hive and Stack Overflow. I'm trying to create a table with complex data type "STRUCT" and then populate it using INSERT INTO TABLE in Hive.
I'm using the following code:
CREATE TABLE struct_test
(
address STRUCT<
houseno: STRING
,streetname: STRING
,town: STRING
,postcode: STRING
>
);
INSERT INTO TABLE struct_test
SELECT NAMED_STRUCT('123', 'GoldStreet', London', W1a9JF') AS address
FROM dummy_table
LIMIT 1;
I get the following error:
Error while compiling statement: FAILED: semanticException [Error
10044]: Cannot insert into target because column number type are
different 'struct_test': Cannot convert column 0 from struct to
array>.
I was able to use similar code with success to create and populate a data type Array but am having difficulty with Struct. I've tried lots of code examples I've found online but none of them seem to work for me... I would really appreciate some help on this as I've been stuck on it for quite a while now! Thanks.
your sql error. you should use sql:
INSERT INTO TABLE struct_test
SELECT NAMED_STRUCT('houseno','123','streetname','GoldStreet', 'town','London', 'postcode','W1a9JF') AS address
FROM dummy_table LIMIT 1;
You can not insert complex data type directly in Hive.For inserting structs you have function named_struct. You need to create a dummy table with data that you want to be inserted in Structs column of desired table.
Like in your case create a dummy table
CREATE TABLE DUMMY ( houseno: STRING
,streetname: STRING
,town: STRING
,postcode: STRING);
Then to insert in desired table do
INSERT INTO struct_test SELECT named_struct('houseno',houseno,'streetname'
,streetname,'town',town,'postcode',postcode) from dummy;
No need to create any dummy table : just use command :
insert into struct_test
select named_struct("houseno","house_number","streetname","xxxy","town","town_name","postcode","postcode_name");
is Possible:
you must give the columns names in sentence from dummy or other table.
INSERT INTO TABLE struct_test
SELECT NAMED_STRUCT('houseno','123','streetname','GoldStreet', 'town','London', 'postcode','W1a9JF') AS address
FROM dummy
Or
INSERT INTO TABLE struct_test
SELECT NAMED_STRUCT('houseno',tb.col1,'streetname',tb.col2, 'town',tb.col3, 'postcode',tb.col4) AS address
FROM table1 as tb
CREATE TABLE IF NOT EXISTS sunil_table(
id INT,
name STRING,
address STRUCT<state:STRING,city:STRING,pincode:INT>)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '.';
INSERT INTO sunil_table 1,"name" SELECT named_struct(
"state","haryana","city","fbd","pincode",4500);???
how to insert both (normal and complex)data into table
I have two tables(Reviews and Comments) with same column name userId, how can i differentiate them in parseQuery so i may get the data using the 'include' option, query is as follow:
query.whereEqualTo("businessId", parseBusiness);
query.include("userId"); // from the reviews table
query.include("lastComment");
query.include("userId"); // from he comments table
userId is a pointer to the User table
In Oracle I have two tables. Both are populated with data and have a timestamp column.
One table has that column filled with data, the other table doesn't. But I need to get the data from the table that does into the column of the other table based on a match of another column.
Each has 'code' so the timestamp from the one table should only be put in the timestamp of the other table where the codes match.
I've tried cursors etc, but it seems like I'm missing something.
Any suggestions?
It sounds like you want a correlated update. This will update every row of destinationTable with the timestamp_col from sourceTable where there is a match on the code column.
UPDATE destinationTable d
SET timestamp_col = (SELECT s.timestamp_col
FROM sourceTable s
WHERE s.code = d.code )
WHERE EXISTS( SELECT 1
FROM sourceTable s
WHERE s.code = d.code )
Just for completeness, I think I would have done something like this (untested), if the destination has a primary key or unique column:
UPDATE (
SELECT d.primary_key AS pk, d.timestamp_col AS dest_col, MAX(s.timestamp_col) AS src_col
FROM dest d
JOIN src s ON d.code = s.code
GROUP BY pk, dest_col
) j
SET j.dest_col = j.src_col