I'm creating a C# Winforms application for recipe management in an industrial environment.
I created a SQL Server table with 130 columns. The table contains a column called CheckData (of datatype Timestamp), which I use to detect changes made to a row.
If I insert a new row to that table all works fine. The code I use is:
INSERT INTO tablename (Column1, column2, column3, column4)
VALUES (value1, value2, value3, value4)
I just assign values to major columns, the others get their default value. I do not assign a value to the timestamp field since it's written by the system.
Additionally, I want to copy a row from this table to the same table (duplicate a data record).
I copy the source row to a temporary table, drop the ID (primary key) and the timestamp fields in that temporary table and try to insert that only row in the temporary table into the table. This fails.
Here's the code:
SELECT *
INTO #temptable
FROM tablename
WHERE Recipe_No = 8;
ALTER TABLE #temptable DROP COLUMN ID, CHECKDATA;
ALTER TABLE #temptable REBUILD;
UPDATE #temptable
SET Recipe_No = 9, Recipe_Name = 'Test'
WHERE Recipe_No = 8;
INSERT INTO tablename
SELECT * FROM #temptable;
I don't understand where the difference is between inserting a new row thru INSERT INTO xxx (yyy) VALUES (zzz) and INSERT INTO xxx SELECT * FROM yyy. In both cases I don't try to write the timestamp value in the new row.
Does anybody have an idea what I'm missing here?
I don't understand where the difference is between inserting a new row thru INSERT INTO xxx (yyy) VALUES (zzz) and INSERT INTO xxx SELECT * FROM yyy.
With this,
INSERT INTO xxx SELECT * FROM yyy.
you are failing to specify the column mappings from the SELECT to the target table. You should always use
INSERT INTO xxx (Column1, Column2, . . .)
SELECT (Column1, Column2, . . .)
FROM yyy
Here's a simplified example of what you're attempting:
drop table if exists t
create table t(id int, a int)
insert into t(id,a) values (1,1)
select * into #t from t where id = 1
alter table #t drop column id
insert into t select * from #t
and it will fail with
Msg 213, Level 16, State 1, Line 12
Column name or number of supplied values does not match table definition.
because the temp table doesn't even have the same number of columns. And even if it did, you wouldn't know for sure that the column mappings were correct.
It is failing because essentially your command
INSERT INTO tablename SELECT * FROM #temptable;";
Is telling SQL - "Insert everything into this table from this temp table."
While you can work around this, I would say why don't you just try inserting into only the columns made available in your current table with only the values you would like to include. Instead of needing to drop the columns/values, you just don't import it to begin with.
An alternative - if you can write to a helper table, it may be beneficial to INSERT INTO that helper table, as opposed to a temp table, the values you have. Then transform that helper table, and THEN you can do INSERT INTO final_table SELECT * FROM helper. This should give you the results you're looking for.
I hope this is helpful, and I hope it explains why your current command is failing.
So I have a table called 'Vendors' and I copied all of its rows into a newly created tabled called VendorTwo.
SELECT *
INTO VendorTwo
FROM Vendors;
I know want to look at this new table so I typed
SELECT *
FROM VendorTwo
But I'm getting an error saying that `Invalid Object Name 'VendorTwo'.' here's a pic
SSMS caches data model when you connect to a database.
Press SHIFT+CRTL+R to refresh SSMS cache.
Here is an example, just add more columns. Sometimes sql server give that message if the table its new.
create table #vendors(nam varchar(20),age numeric)
create table #vendors2(nam varchar(20),age numeric)
INSERT INTO #vendors VALUES ('Donald Trump',70)
INSERT INTO #vendors VALUES ('Son Goku',35)
INSERT INTO #vendors2
select * from #vendors
Actually, I want to move one table to another database.
But spark don't permit this.
Then, how to copy table by spark-sql?
I already tried this.
SELECT *
INTO table1 IN new_database
FROM old_database.table1
But it was not working.
maybe try:
CREATE TABLE new_db.new_table AS
SELECT *
FROM old_db.old_table;
To preserve partitioning and storage format do the following-
Get the complete schema of the existing table by running-
show create table db.old_table
The above query will output the table schema which you can just execute after changing the path name and table name.
Then insert all the rows into the new blank table using-
insert into db.new_table select * from db.old_table
The following snippet will create a new table while preserving the definition of the "old" table.
CREATE TABLE db.new_table LIKE db.old_table;
For more info, check the doc's CREATE TABLE.
I am new to hive, and want to know if there is anyway to insert data into Hive table like we do in SQL. I want to insert my data into hive like
INSERT INTO tablename VALUES (value1,value2..)
I have read that you can load the data from a file to hive table or you can import data from one table to hive table but is there any way to append the data as in SQL?
Some of the answers here are out of date as of Hive 0.14
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML#LanguageManualDML-InsertingvaluesintotablesfromSQL
It is now possible to insert using syntax such as:
CREATE TABLE students (name VARCHAR(64), age INT, gpa DECIMAL(3, 2));
INSERT INTO TABLE students
VALUES ('fred flintstone', 35, 1.28), ('barney rubble', 32, 2.32);
You can use the table generating function stack to insert literal values into a table.
First you need a dummy table which contains only one line. You can generate it with the help of limit.
CREATE TABLE one AS
SELECT 1 AS one
FROM any_table_in_your_database
LIMIT 1;
Now you can create a new table with literal values like this:
CREATE TABLE my_table AS
SELECT stack(3
, "row1", 1
, "row2", 2
, "row3", 3
) AS (column1, column2)
FROM one
;
The first argument of stack is the number of rows you are generating.
You can also add values to an existing table:
INSERT INTO TABLE my_table
SELECT stack(2
, "row4", 1
, "row5", 2
) AS (column1, column2)
FROM one
;
Slightly better version of the unique2 suggestion is below:
insert overwrite table target_table
select * from
(
select stack(
3, # generating new table with 3 records
'John', 80, # record_1
'Bill', 61 # record_2
'Martha', 101 # record_3
)
) s;
Which does not require the hack with using an already exiting table.
You can use below approach. With this, You don't need to create temp table OR txt/csv file for further select and load respectively.
INSERT INTO TABLE tablename SELECT value1,value2 FROM tempTable_with_atleast_one_records LIMIT 1.
Where tempTable_with_atleast_one_records is any table with atleast one record.
But problem with this approach is that If you have INSERT statement which inserts multiple rows like below one.
INSERT INTO yourTable values (1 , 'value1') , (2 , 'value2') , (3 , 'value3') ;
Then, You need to have separate INSERT hive statement for each rows. See below.
INSERT INTO TABLE yourTable SELECT 1 , 'value1' FROM tempTable_with_atleast_one_records LIMIT 1;
INSERT INTO TABLE yourTable SELECT 2 , 'value2' FROM tempTable_with_atleast_one_records LIMIT 1;
INSERT INTO TABLE yourTable SELECT 3 , 'value3' FROM tempTable_with_atleast_one_records LIMIT 1;
No. This INSERT INTO tablename VALUES (x,y,z) syntax is currently not supported in Hive.
You could definitely append data into an existing table. (But it is actually not an append at the HDFS level). It's just that whenever you do a LOAD or INSERT operation on an existing Hive table without OVERWRITE clause the new data will be put without replacing the old data. A new file will be created for this newly inserted data inside the directory corresponding to that table. For example :
I have a file named demo.txt which has 2 lines :
ABC
XYZ
Create a table and load this file into it
hive> create table demo(foo string);
hive> load data inpath '/demo.txt' into table demo;
Now,if I do a SELECT on this table it'll give me :
hive> select * from demo;
OK
ABC
XYZ
Suppose, I have one more file named demo2.txt which has :
PQR
And I do a LOAD again on this table without using overwrite,
hive> load data inpath '/demo2.txt' into table demo;
Now, if I do a SELECT now, it'll give me,
hive> select * from demo;
OK
ABC
XYZ
PQR
HTH
Ways to insert data into Hive table:
for demonstration, I am using table name as table1 and table2
create table table2 as select * from table1 where 1=1;
or
create table table2 as select * from table1;
insert overwrite table table2 select * from table1;
--it will insert data from one to another. Note: It will refresh the target.
insert into table table2 select * from table1;
--it will insert data from one to another. Note: It will append into the target.
load data local inpath 'local_path' overwrite into table table1;
--it will load data from local into the target table and also refresh the target table.
load data inpath 'hdfs_path' overwrite into table table1;
--it will load data from hdfs location iand also refresh the target table.
or
create table table2(
col1 string,
col2 string,
col3 string)
row format delimited fields terminated by ','
location 'hdfs_location';
load data local inpath 'local_path' into table table1;
--it will load data from local and also append into the target table.
load data inpath 'hdfs_path' into table table1;
--it will load data from hdfs location and also append into the target table.
insert into table2 values('aa','bb','cc');
--Lets say table2 have 3 columns only.
Multiple insertion into hive table
Yes you can insert but not as similar to SQL.
In SQL we can insert the row level data, but here you can insert by fields (columns).
During this you have to make sure target table and the query should have same datatype and same number of columns.
eg:
CREATE TABLE test(stu_name STRING,stu_id INT,stu_marks INT)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE;
INSERT OVERWRITE TABLE test SELECT lang_name, lang_id, lang_legacy_id FROM export_table;
To insert entire data of table2 in table1. Below is a query:
INSERT INTO TABLE table1 SELECT * FROM table2;
You can't do insert into to insert single record. It's not supported by Hive. You may place all new records that you want to insert in a file and load that file into a temp table in Hive. Then using insert overwrite..select command insert those rows into a new partition of your main Hive table. The constraint here is your main table will have to be pre partitioned. If you don't use partition then your whole table will be replaced with these new records.
Enter the following command to insert data into the testlog table with some condition:
INSERT INTO TABLE testlog SELECT * FROM table1 WHERE some condition;
I think in such scenarios you should be using HBASE which facilitates such kind of insertion but it does not provide any SQL kind of query language. You need you use Java API of HBASE like the put method to do such kind of insertion. Moreover HBASE is column oriented no-sql database.
You still can insert into complex type in Hive - it works
(id is int, colleagues array)
insert into emp (id,colleagues) select 11, array('Alex','Jian') from (select '1')
you can add values to specific columns as well, just specify the column names in which you like to add corresponding values:
Insert into Table (Col1, Col2, Col4,col5,Col7) Values ('Va11','Va2','Val4','Val5','Val7');
Make sure the columns you skip dont have not null value type.
There are few properties to set to make a Hive table support ACID properties and to insert the values into tables as like in SQL .
Conditions to create a ACID table in Hive.
The table should be stored as ORC file. Only ORC format can support ACID prpoperties for now.
The table must be bucketed
Properties to set to create ACID table:
set hive.support.concurrency =true;
set hive.enforce.bucketing =true;
set hive.exec.dynamic.partition.mode =nonstrict
set hive.compactor.initiator.on = true;
set hive.compactor.worker.threads= 1;
set hive.txn.manager = org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
set the property hive.in.test to true in hive.site.xml
After setting all these properties , the table should be created with tblproperty 'transactional' ='true'. The table should be bucketed and saved as orc
CREATE TABLE table_name (col1 int,col2 string, col3 int) CLUSTERED BY col1 INTO 4
BUCKETS STORED AS orc tblproperties('transactional' ='true');
Now its possible to inserte values into the table like SQL query.
INSERT INTO TABLE table_name VALUES (1,'a',100),(2,'b',200),(3,'c',300);
Yes we can use Insert query in Hive.
hive> create table test (id int, name string);
INSERT: INSERT...VALUES is available starting in version 0.14.
hive> insert into table test values (1,'mytest');
This is going to work for insert. We have to use values keyword.
Note: User cannot insert data into a complex datatype column (array, map, struct, union) using the INSERT INTO...VALUES clause.
I am trying to insert data from one of my existing table into another existing table.
Is it possible to insert data into any existing table using select * into query.
I think it can be done using union but in that case i need to record all data of my existing table into temporary table, then drop that table and finally than apply union to insert all records into same table
eg.
select * into #tblExisting from tblExisting
drop table tblExisting
select * into tblExisting from #tblExisting union tblActualData
Here tblExisting is the table where I actually want to store all data
tblActualData is the table from where data is to be appended to tblExisting.
Is it right method.
Do we have some other alternative ?
You should try
INSERT INTO ExistingTable (Columns,..)
SELECT Columns,...
FROM OtherTable
Have a look at INSERT
and SQL SERVER – Insert Data From One Table to Another Table – INSERT INTO SELECT – SELECT INTO TABLE
No, you cannot use SELECT INTO to insert data into an existing table.
The documentation makes this very clear:
SELECT…INTO creates a new table in the default filegroup and inserts the resulting rows from the query into it.
You generally want to avoid using SELECT INTO in production because it gives you very little control over how the table is created, and can lead to all sorts of nasty locking and other performance problems. You should create schemas explicitly and use INSERT - even for temporary tables.
#Ryan Chase
Can you do this by selecting all columns using *?
Yes!
INSERT INTO yourtable2
SELECT * FROM yourtable1
Update from CTE? http://www.sqlservercentral.com/Forums/Topic629743-338-1.aspx