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Install problems 'pecl install ibm_db2', how to resolve following issue? MacOSX
I am attempting to install ibm_db2 via pecl. I am having no luck. Below is a sample of the console output im getting. Am I missing a compiler library? It looks as if I am.
.NET BeginTransaction fails on IBM.Data.DB2 provider
I've got a connection to Informix DB (providerName="IBM.Data.DB2") and it fails on
I tried all possible isolation modes, e.g.
It fails on each one of available isolation levels. However when I try to bypass this and execute some sql without a transaction, it works.
Any help would be appreciated.
Unable to connect to Informix db2
Unable to connect to Informix db2 from Fluent Migrator (.net/c#) on the local instance. (Windows 10 running on AWS EC2)
Getting this after invoking the migrator executable:
[+] Beginning Transaction
!!! ERROR [HY011] [IBM] CLI0126E Operation invalid at this time. SQLSTATE=HY011
I am able to connect to the db instance via the dbaccess cli utility.I also tried to remove all the actual migration sql statements and scripts from the migration solution and the same error happens if trying to run a totally empty migration, so the issue is likely a connection or transaction issue.
Any ideas will be appreciated. Thanks.
More detials as requested from responses:
The connection info is this:
Both the database and the application that connects to it are located on the same machine, which is hosted on AWS. So the connection it's trying to make is to the DB on the same box.
*pecl install ibm_db2* : ld: file not found: mac64/libcilkrts.5.dylib for architecture x86_64 how to resolve?
I am attempting to work with ibm db2 via php module. Using
Here are system and library versions
Any guidance would be most appreciated. Thanks in advance for your help.
how to get monthname without using in group by in query and more efficient
*since i am not too good for writting good query so anyone let me know what else i can do with this query but the priority is to remove monthname from group by because it is taking much time while execution.But i need the monthname so is there is any chances to get month name without using in group by *
How to connect IBM DB2 from Java? Error: .. not found or does not support transactions. ERRORCODE=-4499
I am attempting to connect to an IBM DB2 instance using db2jcc4. Below is my configuration and I have had no luck.
Currently I am running into the following error.
The Dangers of Solving SQL0666 Errors With QUERYTIMEOUT=0
I'm using Microsoft Access 2007 with an IBM AS400 DB2 SQL v6r1 server. Recently I began expanding my DB2 experience by converting some of my more complicated Access queries to the Pass-Through type. The increase in query speed is amazing but expected, especially in our larger tables, some with 20,000,000+ rows.
As one might expect with Access + DB2, I've been running into the SQL0666 error. Or at least...I expect it now because I've run into it a lot. I've applied self-help and solved the issue by increasing the 'ODBC Timeout' property of the Pass-Through queries. I find what seems like a logically safe value by increasing it until the query works, and then doubling it.
Whatever way Access computes its estimate of a query's duration, it seems grossly out of proportion with reality. If I copy/paste such a query into the IBM iNavigator SQL window and run it there, it takes a fraction of the time, sometimes as much as 1/10th what Access thinks it should take.
Yesterday I stumbled across the following webpage, which describes steps to remove the query timeout problem altogether. I found it adds 'QUERYTIMEOUT=0' to the DSN, and this seems like a permanent cure to the SQL0666 error.
Isn't this dangerous..?
Could a runaway query soak the server until everyone screams or it crashes..?
Is there another deeper timeout limit to protect against runaway processes..?
I'm tempted to add it to all my queries, but as a concerned nerd, I'm hesitant about it.
pySpark jdbc write error: An error occurred while calling o43.jdbc. : scala.MatchError: null
I am trying to write simple spark dataframe to db2 database using pySpark. Dataframe has only one column with double as a data type.
This is the dataframe with only one row and one column:
This is the dataframe schema:
When I try to write this dataframe to db2 table with this syntax:
it creates the table in the database for the first time without any issue, but if I run the code second time, it throws an exception:
On the DB2 side the column datatype is also
Not sure what am I missing.
Why is DB2 treating an empty string as null?
Using DB2 10.5 on Windows x64
HOST is a VARCHAR(512) NOT NULL
Is this expected behavior? If so, how should I work around this and if not, what could be causing this?
Edit: Along the same lines,
Convert packed DB2 iseries value to YYYY-MM-DD
I'm trying to select records from a DB2 Iseries system where the date field is greater than the first of this year.
However, the date fields I'm selecting from are actually PACKED fields, not true dates.
I'm trying to convert them to YYYY-MM-DD format and get everything greater than '2018-01-01' but no matter what I try it says it's invalid.
Currently trying this:
it says expression not valid using format string specified.