Getting this error while running a systemd service - linux

[ERROR] 05:24:00+0100 [main] internal.NodeStartupLogging.invoke - Could not create the DataSource: liquibase.exception.DatabaseException: Error executing SQL UPDATE PUBLIC.DATABASECHHANGELOGLOCK SET LOCKED = TRUE, LOCKEDBY = '172.18.0.1 (172.18.0.1)', LOCKGRANTED = '2019-04-03 05:23:18.603' WHERE ID = 1 AND LOCKED = FALSE: The database is read only; SQL statement:
where should i run the update query to set locked = false in the server?

It is said in error message that your database is in readonly mode. To allow liquibase to apply updates you have to enable the write (and most likely delete) permissions. For H2 it's done by adding the ACCESS_MODE_DATA=rws parameter to url like that: jdbc:h2:~/test;ACCESS_MODE_DATA=rws (H2 docs, Corda docs)

However it's very late,
Maybe you have copied cordapp files from another location or previously have run the node by other user. Therefore, delete these files and directories:
persistence.mv.db ,
persistence.trace.db ,
additional-node-infos ,
artemis ,
brokers ,
capsule ,
drivers

Related

WSO2 Stream Processor Connecting to Cassandra gives error

I am trying to connect my siddhi application to cassandra data store by following the instructions given in the example program given in the editor.
I downloaded the datastax java jar(Osgi) and placed it in the WSO2/lib folder and now started the application. Now I get an error
> [2019-03-10_16-41-17_549] ERROR {org.wso2.siddhi.core.table.Table} - Error on 'Store-cassandra'. . Error while connecting to Table 'SweetProductionTable'. (Encoded)
java.lang.NullPointerException
at org.wso2.extension.siddhi.store.cassandra.CassandraEventTable.connect(CassandraEventTable.java:443)
at org.wso2.siddhi.core.table.Table.connectWithRetry(Table.java:388)
at org.wso2.siddhi.core.SiddhiAppRuntime.startWithoutSources(SiddhiAppRuntime.java:401)
at org.wso2.siddhi.core.SiddhiAppRuntime.start(SiddhiAppRuntime.java:376)
at org.wso2.carbon.siddhi.editor.core.internal.DebugRuntime.start(DebugRuntime.java:68)
at org.wso2.carbon.siddhi.editor.core.internal.DebugProcessorService.start(DebugProcessorService.java:37)
at org.wso2.carbon.siddhi.editor.core.internal.EditorMicroservice.start(EditorMicroservice.java:588)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.wso2.msf4j.internal.router.HttpMethodInfo.invokeResource(HttpMethodInfo.java:187)
at org.wso2.msf4j.internal.router.HttpMethodInfo.invoke(HttpMethodInfo.java:143)
at org.wso2.msf4j.internal.MSF4JHttpConnectorListener.dispatchMethod(MSF4JHttpConnectorListener.java:218)
at org.wso2.msf4j.internal.MSF4JHttpConnectorListener.lambda$onMessage$57(MSF4JHttpConnectorListener.java:129)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
[2019-03-10_16-41-17_551] ERROR {org.wso2.siddhi.core.SiddhiAppRuntime} - Error starting Siddhi App 'Store-cassandra', triggering shutdown process. null (Encoded)
Below is the corresponding code
define stream SweetProductionStream (id int, name string);
#Store(type='cassandra' , cassandra.host='localhost' ,keyspace='production')
#index('uid')
#primaryKey('uid')
define table SweetProductionTable (uid int, name string);
/* Inserting event into the cassandra keyspace */
#info(name='query1')
from SweetProductionStream
select SweetProductionStream.id as uid, SweetProductionStream.name
insert into SweetProductionTable;
and below is the instructions given in the example
Prerequisites:
1) Ensure that Cassandra version 3 or above is installed on your machine.
2) Add the DataStax Java driver into {WSO2_SP_HOME}/lib as follows:
a) Download the DataStax Java driver from: http://central.maven.org/maven2/com/datastax/cassandra/cassandra-driver-core/3.3.2/cassandra-driver-core-3.3.2.jar
b) Use the "jartobundle" tool in {WSO2_SP_Home}/bin to extract and convert the above JARs into OSGi bundles.
For Windows: <SP_HOME>/bin/jartobundle.bat <PATH_OF_DOWNLOADED_JAR> <PATH_OF_CONVERTED_JAR>
For Linux: <SP_HOME>/bin/jartobundle.sh <PATH_OF_DOWNLOADED_JAR> <PATH_OF_CONVERTED_JAR>
Note: The driver given in the above link is a OSGi bundled one. Please skip this step if the jar is already OSGi bunbled.
c) Copy the converted bundles to the {WSO2_SP_Home}/lib directory.
3) Create a keyspace named 'production' in Cassanndra store.
4) In the store configuration of this application, replace 'username' and 'password' values with your Cassandra credentials.
5) Save this sample.
Executing the Sample:
1) Start the Siddhi application by clicking on 'Run'.
2) If the Siddhi application starts successfully, the following message is shown on the console
* Store-cassandra.siddhi - Started Successfully!
Note:
If you want to edit this application while it's running, stop the application, make your edits and save the application, and then start it again.
Testing the Sample:
1) Simulate single events:
a) Click on 'Event Simulator' (double arrows on left tab) and click 'Single Simulation'
b) Select 'Store-cassandra' as 'Siddhi App Name' and select 'searchSweetProductionStream' as 'Stream Name'.
c) Provide attribute values, and then click Send.
2) Send at least one event where the name matches a name value in the data you previously inserted into the SweetProductionTable. This will satisfy the 'on' condition of the join query.
3) Optionally, send events to the other corresponding streams to add, delete, update, insert, and search events.
Notes:
- After a change in the store, you can use the search stream to see whether the operation is successful.
- The Primary Key constraint in SweetProductionTable is disabled, because the name cannot be used as a PrimaryKey in a ProductionTable.
- You can use Siddhi functions to create a unique ID for the received events, which can then be used to apply the Primary Key constraint on the data store records. (http://wso2.github.io/siddhi/documentation/siddhi-4.0/#function)
Viewing the Results:
See the output for raw materials on the console. You can use searchSweetProductionStream to check for inserted, deleted, and updated events.
*/
Thanks in advance.
please provide your Cassandra credentials (username and password).
Eg: #store(type='cassandra' , cassandra.host='localhost', username='cassandra', password='cassandra',keyspace='production',
column.family='SweetProductionTable')
Please refer this sample.
Siddhi store casssandra

VBA to properly access multi user database

I have an Excel Add-In project that I'm working on which has multiple users accessing a database on the server. Currently all the code works and everything processes correctly as long as only one user is accessing the database at a time. I'm using DAO to access the database and passing an SQL string it to retrieve records using the following lines of code
Set db = OpenDatabase(g400DBPath, , True)
Set rs = db.OpenRecordset(sSQL, dbOpenSnapshot)
This creates an issue where if more than one person attempts to access the database at the same time, only the first person is able to access it. I tried changing the recordset line of code to the following
Set rs = db.OpenRecordset(sSQL, dbOpenSnapshot, , dbOptimistic)
but that gives me the following error: Run-time error '3001: Invalid Argument
How would I go about setting the access to the record set so that multiple users can run the report? The users are not updating any information in the database at all, everything is read only.
Your problem is: a snapshot-type recordset is always read-only. Specifying any edit lock options will throw a run-time error, since snapshot-type recordsets don't do locking.
I can't reproduce the behavior, but you can try the following:
Set db = OpenDatabase(g400DBPath, False, False) 'Read-only can lead to exclusive locks since more specific locks are stored in the DB
Set rs = db.OpenRecordset(sSQL, dbOpenSnapshot, dbReadOnly)
Alternatively, you could try using ADO and disconnected recordsets. DAO doesn't offer that functionality as far as I know.

Nodejs + Cassandra driver --- getting error 'unconfigured table' when trying to create materialized view

I'm running on Nodejs 8.9 & the latest Datastax Cassandra driver.
Upon service startup I'm executing 2 queries, one which creates a table (in case is does not exist) and the other creates a materialized view.
The table creation query passes without any issues, but when I execute the query for the materialized view, I get 'unconfigured table' error.
I've tried to debug it, and saw (via terminal) that indeed the table does not appear in Cassandra after the query executes, it appears only after I stop the service entirely. I've tried closing the connection after creating the table and re-creating it, but I still get the same error.
This is how I execute the query:
try{
let respose = await client.execute(query, null, queryOptions);
}catch(error){
throw (error);
}
Changing the CONSISTENCY_POLICY did not help either.
Please advise.
Usually this should happen when the schema isn't in agreement between all nodes. By default driver should wait 10 seconds until agreement is reached. This time is controlled by protocolOptions.maxSchemaAgreementWaitSeconds parameter of the Client - try to increase this parameter & try.
Also, you need to check that your cluster is in agreement - please run nodetool describecluster as described in documentation.

Azure SQL Data Warehouse: No catalog entry found for partition ID <id> in database <id>. The metadata is inconsistent. Run DBCC CHECKDB

I am working on moving stored procedures from an on-prem SQL Server database to an Azure SQL Data Warehouse (ASDW). Throughout the process I have had to work around a few missing features - time consuming but not impossible. One thing I have had to do is replace CTE's followed by MERGE statements with temp tables followed by UPDATE/INSERT/DELETE statements (since CTE's cannot be followed by these statements). At the beginning of each SP I check for the temp tables and delete them if they exist.
Today, I created another stored procedure in the ASDW without any temp tables (no updates/inserts/deletes so I left the CTE's in there), it "compiled", and I was able to run it without issue (returned an empty result set, as there is no data yet). I created another SP after this, and when I went to execute it, I got the following error:
...No catalog entry found for partition ID (id) in database 26. The metadata is inconsistent. Run DBCC CHECKDB to check for a metadata corruption...
I then went back to the first SP that I mentioned, and it gave me the same error, even though it had previously run without flaw.
I tried running DBCC CHECKDB as instructed but alas, it is not supported/doesn't work.
I dug around a lot, and what I ended up doing was scaling my database from 100DWU's to 500DWU's. I am at 0.16% of my database storage size limit, and there is barely any data anywhere (total DB size is <300MB).
Is there an explanation for this? If not, I can't in good conscience use this platform in a production environment.
Full error:
Msg 110802, Level 16, State 1, Line 1
110802;An internal DMS error occurred that caused this operation to fail.
Details: Exception: Microsoft.SqlServer.DataWarehouse.DataMovement.Workers.DmsSqlNativeException,
Message: SqlNativeBufferReader.Run, error in OdbcExecuteQuery: SqlState:
42000, NativeError: 608, 'Error calling: SQLExecDirect(this->GetHstmt(), (SQLWCHAR *)statementText, SQL_NTS), SQL return code: -1 | SQL Error Info:
SrvrMsgState: 1, SrvrSeverity: 16, Error <1>: ErrorMsg: [Microsoft][ODBC Driver 11 for SQL Server][SQL Server]No catalog entry found for partition ID
72057594047758336 in database 36. The metadata is inconsistent. Run DBCC
CHECKDB to check for a metadata corruption. | Error calling: pReadConn-
>ExecuteQuery(statementText, bufferFormat) | state: FFFF, number: 134148,
active connections: 100', Connection String: Driver={pdwodbc};APP=TypeC01-
DmsNativeReader:DB196\mpdwsvc (2504)- ODBC;Trusted_Connection=yes;AutoTranslate=no;Server=\\.\pipe\DB.196-
bb5f9dd884cf\sql\query
I'm sorry to hear about your experience with Azure SQL Data Warehouse. I believe this is a defect related to BIT data type handling for NOT NULL columns. Can you confirm that you have a BIT NOT NULL column (e.g., CREATE TABLE t1 (IsTrue BIT NOT NULL);)?
If so, a fix has been coded and is in testing for release. To mitigate this now, you can either switch to a TINY INT or remove the NOT NULL setting for the column.

Unable to select from SQL Database tables using node-ibm_db

I created a new table in the Bluemix SQL Database service by uploading a csv (baseball.csv) and took the default table name of "baseball".
I created a simple app in Node.js which is just trying to select data from the table with select * from baseball, but I keep getting the following error:
[IBM][CLI Driver][DB2/NT] SQL0204N "USERxxxx.BASEBALL" in an undefined name
Why can't it find my database table?
This issue seems independent of bluemix, rather it is usage error.
This error is possibly caused by following:
The object identified by name is not defined in the database.
User response
Ensure that the object name (including any required qualifiers) is correctly specified in the SQL statement and it exists.
try running "list tables" from command prompt to check if your table spelling is correct or not.
http://www-01.ibm.com/support/knowledgecenter/SSEPGG_9.7.0/com.ibm.db2.luw.messages.sql.doc/doc/msql00204n.html?cp=SSEPGG_9.7.0%2F2-6-27-0-130
I created the table from SQL Database web UI in bluemix and took the default name of baseball. It looks like this creates a case-sensitive table name.
Unfortunately for me, the sql_db libary (and all db2 clients I believe) auto-capitalizes the SQL query into "SELECT * FROM BASEBALL"
The solution was to either
A. Explicitly name my table BASEBALL in the web UI; or
B. Modify my sql query by quoting the table name:
select * from "baseball"
More info at http://www.ibm.com/developerworks/data/library/techarticle/0203adamache/0203adamache.html#N10121

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