I have a table called orders in which data is loaded through a CSV file into a loader table for every three hours. I have a column last_modified set to SYSDATE which records the insert and update on the table. Recently, I have observed that the last_modified column has null values for more than 100k records when update happens. Is there any way to fix this issue?
Merge into orders d
using (select * from ods_prm_data ) s
on (d.order_id = s.order_id)
when not matched then
insert (d.order_id ,d.ID, d.last_modified)
values (s.order_id, s.ID,s.order_seq.val,SYSDATE)
when matched then
update set d.last_modified = SYSDATE;
Take a look at the WHEN NOT MATCHED branch of the MERGE statement. I'm rather surprised that this statement even compiled because the INSERT field list (d.order_id ,d.ID, d.last_modified) specifies three fields, but the VALUES list (s.order_id, s.ID,s.order_seq.val, SYSDATE)shows FOUR values. I'm not sure how this slipped past the compiler, and I have no idea how it's being executed; however, it may help to explain the issues you're having.
Best of luck.
Related
I have an issue that could be solved by implementing full aduting either with triggers or flash data archive but that's much more than is required.
So right now we are performing a merge which is updating a row when its present or inserting when its not. It works well and was easy to write. We now have a new requirement which is that users must know which rows have been updated or inserted. Yes this could be accomplished by introducing another field into the table, but thats not allowed because that would change the table. So we are forced to create one or two tables which will identify which rows are updated or inserted via the PK.
What I am hoping to do is take the existing MERGE statement and add the ability to insert into the secondary table, but I have not been able to find any merge statements which work that way, and INSERT ALL lacks the more complicated conditionals of the merge.
Here is the structure of the MERGE statement thats currently being used.
MERGE INTO EXISTING_TABLE ET USING TMP_TABLE TMP ON (HRR.ID = TMP.ID)
WHEN MATCHED THEN UPDATE SET
ET.ID = TMP.ID,
ET.TITLE_EN = TMP.TITLE_EN,
ET.TITLE_FR = TMP.TITLE_FR,
WHEN NOT MATCHED THEN INSERT (ID, TITLE_EN, TITLE_FR)
VALUES (TMP.ID, TMP.TITLE_EN, TMP.TITLE_FR);
Below is the way Im hoping to accomplish the MERGE INSERT ALL.
MERGE INTO EXISTING_TABLE ET USING TMP_TABLE TMP ON (HRR.ID = TMP.ID)
WHEN MATCHED THEN UPDATE
SET
ET.ID = TMP.ID,
ET.TITLE_EN = TMP.TITLE_EN,
ET.TITLE_FR = TMP.TITLE_FR,
INSERT INTO NEW_TABLE (ID, TYPE) VALUES (TMP.ID, 'U')
WHEN NOT MATCHED THEN INSERT ALL
INTO EXISTING_TABLE (ID, TITLE_EN, TITLE_FR) VALUES (TMP.ID, TMP.TITLE_EN, TMP.TITLE_FR),
INTO NEW_TABLE (ID, TYPE) VALUES (TMP.ID, 'I');
The only other way to reasonably accomplish this that I can see would be with a PLSQL block which works on row statements and would be slower.
At our site, we use after triggers to update audit stuff. It has an advantage of tracking the changes via program, or if someone fat fingers an update statement.
That might do the job for you.
I use following statement to insert or update current document versions our customers have signed:
MERGE INTO schema.table ccv
USING (select :customer_id as customer_id, :doc_type as doc_type, :version as Version FROM DUAL) n
ON (ccv.customer_id = n.customer_id and ccv.doc_type = n.doc_type)
WHEN MATCHED
THEN UPDATE
set ccv.version = n.version
DELETE WHERE ccv.version is null
WHEN NOT MATCHED
THEN INSERT
( customer_id, doc_type, version)
VALUES
(:customer_id,:doc_type,:version)
Basically I want to avoid inserting on the same condition when I am deleting with DELETE WHERE statement.
The thing is, that there is three different document types (doc_type), but only one or two might be simulatenously signed.
If a client signed a document, then I want to store it's version, if not, then I do not want a record with that document in database.
So, when the new :version is null I delete the existing row. That works great.
The problem is, when there were no documents of that customer stored, then oracle actually inserts a record with version = NULL.
How can I avoid inserting records when :version is null?
Is splitting the merge to separate delete, update and insert statement the only way to do that?
If you're using 10g, you may use conditions for the insert as well:
http://www.oracle-developer.net/display.php?id=310
Rgds.
We are trying to copy the current row of a table to mirror table by using a trigger before delete / update. Below is the working query
BEFORE UPDATE OR DELETE
ON CurrentTable FOR EACH ROW
BEGIN
INSERT INTO MirrorTable
( EMPFIRSTNAME,
EMPLASTNAME,
CELLNO,
SALARY
)
VALUES
( :old.EMPFIRSTNAME,
:old.EMPLASTNAME,
:old.CELLNO,
:old.SALARY
);
END;
But the problem is we have more than 50 coulmns in the current table and dont want to mention all those column names. Is there a way to select all coulmns like
:old.*
SELECT * INTO MirrorTable FROM CurrentTable
Any suggestions would be helpful.
Thanks,
Realistically, no. You'll need to list all the columns.
You could, of course, dynamically generate the trigger code pulling the column names from DBA_TAB_COLUMNS. But that is going to be dramatically more work than simply typing in 50 column names.
If your table happens to be an object table, :new would be an instance of that object so you could insert that. But it would be rather rare to have an object table.
If your 'current' and 'mirror' tables have EXACTLY the same structure you may be able to use something like
INSERT INTO MirrorTable
SELECT *
FROM CurrentTable
WHERE CurrentTable.primary_key_column = :old.primary_key_column
Honestly, I think that this is a poor choice and wouldn't do it, but it's a more-or-less free world and you're free (more or less :-) to make your own choices.
Share and enjoy.
For what it's worth, I've been writing the same stuff and used this to generate the code:
SQL> set pagesize 0
SQL> select ':old.'||COLUMN_NAME||',' from all_tab_columns where table_name='BIGTABLE' and owner='BOB';
:old.COL1,
:old.COL2,
:old.COL3,
:old.COL4,
:old.COL5,
...
If you feed all columns, no need to mention them twice (and you may use NULL for empty columns):
INSERT INTO bigtable VALUES (
:old.COL1,
:old.COL2,
:old.COL3,
:old.COL4,
:old.COL5,
NULL,
NULL);
people writing tables with that many columns should have no desserts ;-)
I have table with "varchar2" as primary key.
It has about 1 000 000 Transactions per day.
My app wakes up every 5 minute to generate text file by querying only new record.
It will remember last point and process only new records.
Do you have idea how to query with good performance?
I am able to add new column if necessary.
What do you think this process should do by?
plsql?
java?
Everyone here is really really close. However:
Scott Bailey's wrong about using a bitmap index if the table's under any sort of continuous DML load. That's exactly the wrong time to use a bitmap index.
Everyone else's answer about the PROCESSED CHAR(1) check in ('Y','N')column is right, but missing how to index it; you should use a function-based index like this:
CREATE INDEX MY_UNPROCESSED_ROWS_IDX ON MY_TABLE
(CASE WHEN PROCESSED_FLAG = 'N' THEN 'N' ELSE NULL END);
You'd then query it using the same expression:
SELECT * FROM MY_TABLE
WHERE (CASE WHEN PROCESSED_FLAG = 'N' THEN 'N' ELSE NULL END) = 'N';
The reason to use the function-based index is that Oracle doesn't write index entries for entirely NULL values being indexed, so the function-based index above will only contain the rows with PROCESSED_FLAG = 'N'. As you update your rows to PROCESSED_FLAG = 'Y', they'll "fall out" of the index.
Well, if you can add a new column, you could create a Processed column, which will indicate processed records, and create an index on this column for performance.
Then the query should only be for those rows that have been newly added, and not processed.
This should be easily done using sql queries.
Ah, I really hate to add another answer when the others have come so close to nailing it. But
As Ponies points out, Oracle does have a hidden column (ORA_ROWSCN - System Change Number) that can pinpoint when each row was modified. Unfortunately, the default is that it gets the information from the block instead of storing it with each row and changing that behavior will require you to rebuild a really large table. So while this answer is good for quieting the SQL Server fella, I'd not recommend it.
Astander is right there but needs a few caveats. Add a new column needs_processed CHAR(1) DEFAULT 'Y' and add a BITMAP index. For low cardinality columns ('Y'/'N') the bitmap index will be faster. Once you have the rest is pretty easy. But you've got to be careful not select the new rows, process them and mark them as processed in one step. Otherwise, rows could be inserted while you are processing that will get marked processed even though they have not been.
The easiest way would be to use pl/sql to open a cursor that selects unprocessed rows, processes them and then updates the row as processed. If you have an aversion to walking cursors, you could collect the pk's or rowids into a nested table, process them and then update using the nested table.
In MS SQL Server world where I work, we have a 'version' column of type 'timestamp' on our tables.
So, to answer #1, I would add a new column.
To answer #2, I would do it in plsql for performance.
Mark
"astander" pretty much did the work for you. You need to ALTER your table to add one more column (lets say PROCESSED)..
You can also consider creating an INDEX on the PROCESSED ( a bitmap index may be of some advantage, as the possible value can be only 'y' and 'n', but test it out ) so that when you query it will use INDEX.
Also if sure, you query only for every 5 mins, check whether you can add another column with TIMESTAMP type and partition the table with it. ( not sure, check out again ).
I would also think about writing job or some thing and write using UTL_FILE and show it front end if it can be.
If performance is really a problem and you want to create your file asynchronously, you might want to use Oracle Streams, which will actually get modification data from your redo log withou affecting performance of the main database. You may not even need a separate job, as you can configure Oracle Streams to do Asynchronous replication of the changes, through which you can trigger the file creation.
Why not create an extra table that holds two columns. The ID column and a processed flag column. Have an insert trigger on the original table place it's ID in this new table. Your logging process can than select records from this new table and mark them as processed. Finally delete the processed records from this table.
I'm pretty much in agreement with Adam's answer. But I'd want to do some serious testing compared to an alternative.
The issue I see is that you need to not only select the rows, but also do an update of those rows. While that should be pretty fast, I'd like to avoid the update. And avoid having any large transactions hanging around (see below).
The alternative would be to add CREATE_DATE date default sysdate. Index that. And then select records where create_date >= (start date/time of your previous select).
But I don't have enough data on the relative costs of setting a sysdate as default vs. setting a value of Y, updating the function based vs. date index, and doing a range select on the date vs. a specific select on a single value for the Y. You'll probably want to preserve stats or hint the query to use the index on the Y/N column, and definitely want to use a hint on a date column -- the stats on the date column will almost certainly be old.
If data are also being added to the table continuously, including during the period when your query is running, you need to watch out for transaction control. After all, you don't want to read 100,000 records that have the flag = Y, then do your update on 120,000, including the 20,000 that arrived when you query was running.
In the flag case, there are two easy ways: SET TRANSACTION before your select and commit after your update, or start by doing an update from Y to Q, then do your select for those that are Q, and then update to N. Oracle's read consistency is wonderful but needs to be handled with care.
For the date column version, if you don't mind a risk of processing a few rows more than once, just update your table that has the last processed date/time immediately before you do your select.
If there's not much information in the table, consider making it Index Organized.
What about using Materialized view logs? You have a lot of options to play with:
SQL> create table test (id_test number primary key, dummy varchar2(1000));
Table created
SQL> create materialized view log on test;
Materialized view log created
SQL> insert into test values (1, 'hello');
1 row inserted
SQL> insert into test values (2, 'bye');
1 row inserted
SQL> select * from mlog$_test;
ID_TEST SNAPTIME$$ DMLTYPE$$ OLD_NEW$$ CHANGE_VECTOR$$
---------- ----------- --------- --------- ---------------------
1 01/01/4000 I N FE
2 01/01/4000 I N FE
SQL> delete from mlog$_test where id_test in (1,2);
2 rows deleted
SQL> insert into test values (3, 'hello');
1 row inserted
SQL> insert into test values (4, 'bye');
1 row inserted
SQL> select * from mlog$_test;
ID_TEST SNAPTIME$$ DMLTYPE$$ OLD_NEW$$ CHANGE_VECTOR$$
---------- ----------- --------- --------- ---------------
3 01/01/4000 I N FE
4 01/01/4000 I N FE
I think this solution should work..
What you need to do following steps
For the first run, you will have to copy all records. In first run you need to execute following query
insert into new_table(max_rowid) as (Select max(rowid) from yourtable);
Now next time when you want to get only newly inserted values, you can do it by executing follwing command
Select * from yourtable where rowid > (select max_rowid from new_table);
Once you are done with processing above query, simply truncate new_table and insert max(rowid) from yourtable
I think this should work and would be fastest solution;
I am getting
ORA-30926: unable to get a stable set of rows in the source tables
in the following query:
MERGE INTO table_1 a
USING
(SELECT a.ROWID row_id, 'Y'
FROM table_1 a ,table_2 b ,table_3 c
WHERE a.mbr = c.mbr
AND b.head = c.head
AND b.type_of_action <> '6') src
ON ( a.ROWID = src.row_id )
WHEN MATCHED THEN UPDATE SET in_correct = 'Y';
I've ran table_1 it has data and also I've ran the inside query (src) which also has data.
Why would this error come and how can it be resolved?
This is usually caused by duplicates in the query specified in USING clause. This probably means that TABLE_A is a parent table and the same ROWID is returned several times.
You could quickly solve the problem by using a DISTINCT in your query (in fact, if 'Y' is a constant value you don't even need to put it in the query).
Assuming your query is correct (don't know your tables) you could do something like this:
MERGE INTO table_1 a
USING
(SELECT distinct ta.ROWID row_id
FROM table_1 a ,table_2 b ,table_3 c
WHERE a.mbr = c.mbr
AND b.head = c.head
AND b.type_of_action <> '6') src
ON ( a.ROWID = src.row_id )
WHEN MATCHED THEN UPDATE SET in_correct = 'Y';
You're probably trying to to update the same row of the target table multiple times. I just encountered the very same problem in a merge statement I developed. Make sure your update does not touch the same record more than once in the execution of the merge.
A further clarification to the use of DISTINCT to resolve error ORA-30926 in the general case:
You need to ensure that the set of data specified by the USING() clause has no duplicate values of the join columns, i.e. the columns in the ON() clause.
In OP's example where the USING clause only selects a key, it was sufficient to add DISTINCT to the USING clause. However, in the general case the USING clause may select a combination of key columns to match on and attribute columns to be used in the UPDATE ... SET clause. Therefore in the general case, adding DISTINCT to the USING clause will still allow different update rows for the same keys, in which case you will still get the ORA-30926 error.
This is an elaboration of DCookie's answer and point 3.1 in Tagar's answer, which from my experience may not be immediately obvious.
How to Troubleshoot ORA-30926 Errors? (Doc ID 471956.1)
1) Identify the failing statement
alter session set events ‘30926 trace name errorstack level 3’;
or
alter system set events ‘30926 trace name errorstack off’;
and watch for .trc files in UDUMP when it occurs.
2) Having found the SQL statement, check if it is correct (perhaps using explain plan or tkprof to check the query execution plan) and analyze or compute statistics on the tables concerned if this has not recently been done. Rebuilding (or dropping/recreating) indexes may help too.
3.1) Is the SQL statement a MERGE?
evaluate the data returned by the USING clause to ensure that there are no duplicate values in the join. Modify the merge statement to include a deterministic where clause
3.2) Is this an UPDATE statement via a view?
If so, try populating the view result into a table and try updating the table directly.
3.3) Is there a trigger on the table? Try disabling it to see if it still fails.
3.4) Does the statement contain a non-mergeable view in an 'IN-Subquery'? This can result in duplicate rows being returned if the query has a "FOR UPDATE" clause. See Bug 2681037
3.5) Does the table have unused columns? Dropping these may prevent the error.
4) If modifying the SQL does not cure the error, the issue may be with the table, especially if there are chained rows.
4.1) Run the ‘ANALYZE TABLE VALIDATE STRUCTURE CASCADE’ statement on all tables used in the SQL to see if there are any corruptions in the table or its indexes.
4.2) Check for, and eliminate, any CHAINED or migrated ROWS on the table. There are ways to minimize this, such as the correct setting of PCTFREE.
Use Note 122020.1 - Row Chaining and Migration
4.3) If the table is additionally Index Organized, see:
Note 102932.1 - Monitoring Chained Rows on IOTs
Had the error today on a 12c and none of the existing answers fit (no duplicates, no non-deterministic expressions in the WHERE clause). My case was related to that other possible cause of the error, according to Oracle's message text (emphasis below):
ORA-30926: unable to get a stable set of rows in the source tables
Cause: A stable set of rows could not be got because of large dml activity or a non-deterministic where clause.
The merge was part of a larger batch, and was executed on a live database with many concurrent users. There was no need to change the statement. I just committed the transaction before the merge, then ran the merge separately, and committed again. So the solution was found in the suggested action of the message:
Action: Remove any non-deterministic where clauses and reissue the dml.
SQL Error: ORA-30926: unable to get a stable set of rows in the source tables
30926. 00000 - "unable to get a stable set of rows in the source tables"
*Cause: A stable set of rows could not be got because of large dml
activity or a non-deterministic where clause.
*Action: Remove any non-deterministic where clauses and reissue the dml.
This Error occurred for me because of duplicate records(16K)
I tried with unique it worked .
but again when I tried merge without unique same proble occurred
Second time it was due to commit
after merge if commit is not done same Error will be shown.
Without unique, Query will work if commit is given after each merge operation.
I was not able to resolve this after several hours. Eventually I just did a select with the two tables joined, created an extract and created individual SQL update statements for the 500 rows in the table. Ugly but beats spending hours trying to get a query to work.
As someone explained earlier, probably your MERGE statement tries to update the same row more than once and that does not work (could cause ambiguity).
Here is one simple example. MERGE that tries to mark some products as found when matching the given search patterns:
CREATE TABLE patterns(search_pattern VARCHAR2(20));
INSERT INTO patterns(search_pattern) VALUES('Basic%');
INSERT INTO patterns(search_pattern) VALUES('%thing');
CREATE TABLE products (id NUMBER,name VARCHAR2(20),found NUMBER);
INSERT INTO products(id,name,found) VALUES(1,'Basic instinct',0);
INSERT INTO products(id,name,found) VALUES(2,'Basic thing',0);
INSERT INTO products(id,name,found) VALUES(3,'Super thing',0);
INSERT INTO products(id,name,found) VALUES(4,'Hyper instinct',0);
MERGE INTO products p USING
(
SELECT search_pattern FROM patterns
) o
ON (p.name LIKE o.search_pattern)
WHEN MATCHED THEN UPDATE SET p.found=1;
SELECT * FROM products;
If patterns table contains Basic% and Super% patterns then MERGE works and first three products will be updated (found). But if patterns table contains Basic% and %thing search patterns, then MERGE does NOT work because it will try to update second product twice and this causes the problem. MERGE does not work if some records should be updated more than once. Probably you ask why not update twice!?
Here first update 1 and second update 1 are the same value but only by accident. Now look at this scenario:
CREATE TABLE patterns(code CHAR(1),search_pattern VARCHAR2(20));
INSERT INTO patterns(code,search_pattern) VALUES('B','Basic%');
INSERT INTO patterns(code,search_pattern) VALUES('T','%thing');
CREATE TABLE products (id NUMBER,name VARCHAR2(20),found CHAR(1));
INSERT INTO products(id,name,found) VALUES(1,'Basic instinct',NULL);
INSERT INTO products(id,name,found) VALUES(2,'Basic thing',NULL);
INSERT INTO products(id,name,found) VALUES(3,'Super thing',NULL);
INSERT INTO products(id,name,found) VALUES(4,'Hyper instinct',NULL);
MERGE INTO products p USING
(
SELECT code,search_pattern FROM patterns
) s
ON (p.name LIKE s.search_pattern)
WHEN MATCHED THEN UPDATE SET p.found=s.code;
SELECT * FROM products;
Now first product name matches Basic% pattern and it will be updated with code B but second product matched both patterns and cannot be updated with both codes B and T in the same time (ambiguity)!
That's why DB engine complaints. Don't blame it! It knows what it is doing! ;-)