Oracle 12c jdbc driver download oci

The low level enables these features. Federation of pluggable databases PDBs enables you to create a common application data model that can be shared across multiple tenants participating in the federation.

You can also create and maintain a common data source that can be referenced by individual tenants. The federation of PDBs improves operational efficiency to maintain multiple application tenants from a single master. This feature enables you to build location-transparent applications that can aggregate data from multiple sources that are in the same data center or distributed across data centers. Starting with Oracle Database 12 c Release 2 You can still use the old listener and you do not need to change the client application.

The old listener forwards connections based on service to the relocated address. The new listener supports seamless migration of a pluggable database PDB from a local database to the Oracle Public Cloud.

Because each pluggable database is a different service, this feature enables different pluggable databases to have different ACLs. These ACLs are enforced by the listener. You can now set up restore points specific for a pluggable database PDB to flash back to that restore point without affecting other PDBs in a multitenant container database CDB.

Both normal restore points which are an assignment of a system change number SCN to an alias and guaranteed restore points which guarantee the database to be flashed back to a point in time can be performed at the PDB level. Restore points provide an ease-of-use method to assign an alias to SCN.

Using the alias, you can rewind the database to that point in time using flashback pluggable database. You can now upgrade a multitenant container database CDB with one or more pluggable databases PDBs plugged into it in a single operation. In a multitenant environment, a pluggable database PDB lockdown profile is a mechanism used to restrict operations that can be performed by connections to a given PDB for both cloud and non-cloud environments.

By default, there are three available profiles. These profiles are defined in increasing order of restriction. You can alter these default profiles or create new profiles that are appropriate to their security requirements.

PDB lockdown profiles provide the flexibility to define custom security policies according to the security requirements of the application. This feature also alleviates security concerns with public Database as a Service DBaaS and this feature helps in cloud adoption.

The Oracle Database operating system user is usually a highly privileged user. Using that user during operating system interactions can expose vulnerabilities for security exploits.

Furthermore, using the same operating system user for operating system interactions from different pluggable databases PDB can compromise data that belongs to a given PDB.

This also provides the ability to protect data that belongs to one PDB from being accessed by users connected to another PDB. The Pre-Upgrade Information Tool is enhanced in several ways. Messages are reformatted and rewritten to improve clarity and consistency. Fix up routines are expanded and enhanced, and can self-validate to detect cases where the fix up is no longer needed.

The Pre-Upgrade Information Tool is now delivered as a single. The new -T option for the parallel upgrade utility catctl.

Use this new functionality for a faster fallback strategy if a problem is encountered during the upgrade. Take the following steps. There are cases when a job should not execute when another job is already running. If two jobs are using the same resource, you can specify that the two jobs cannot execute at the same time.

You can now specify how many defined resources are required to execute a job. A resource can be anything specified by the user and only has two attributes, name and count. At execution time, Oracle Scheduler ensures that running jobs are not going to exceed the available resources. If there are resource limitations, then you can define a resource and set its properties. In the job definition, you can then specify which resources are required to run a job.

Beginning with this release, you can create in-memory jobs. For in-memory jobs, there is minimal data written to disk as compared to regular jobs.

There are two types of in-memory jobs, repeating in-memory jobs and one-time in-memory jobs. For one-time in-memory jobs, nothing is written to disk. For repeating in-memory jobs, job metadata is written to disk but there is no run information. The performance of Oracle Data Pump import jobs has improved by enabling the use of multiple processes working in parallel to import metadata. Oracle Data Pump jobs now take less time because parallel import of metadata is added to this release.

The performance of Oracle Data Pump export jobs is improved by enabling the use of multiple processes working in parallel to export metadata. Oracle Data Pump jobs now require shorter down time during migration and shorter elapsed time for export operations. Choices for substitution wildcard variables are now available for Oracle Data Pump dump file names. The new choices include date or time values, a larger range for numeric values, and system generated unique file names.

Substitution variables improve file management for Oracle Data Pump dump files and enables you to take advantage of higher degrees of parallel processing without manually specifying individual file names.

New syntax is added to let users specify new file names, or file name transforms, for the data files in a transportable tablespace job. This option tells the Data Pump to load partition data in parallel into existing tables. This is done as part of a migration when the metadata is static and can be moved before the databases are taken offline to migrate the data. Moving the metadata separately minimizes downtime. If the DBA uses this mechanism and if other attributes of the database are the same for example, character set , then the data from the export database goes to the same partitions in the import database.

This option tells the Data Pump to unload all table data in one operation rather than unload each table partition as a separate operation. Then, the definition of the table does not matter at import time. Import sees the partition of data that is loaded into the entire table. This reduces the time to import the table data.

New options are added to verify that data for date and date fields in tables is valid. Use this option when importing a dump file from an untrusted source to prevent issues that can occur because data is corrupt in the dump file. Because of the overhead involved in validating data, the default is that data is no longer validated on import.

This verification protects the database from SQL injection bugs from bad data. Oracle Corporation recommends using this option when importing a dump file from an untrusted source. The problem with the current file format is that the first two blocks of the file have to be updated after the rest of the file is written. The Hadoop file system used by OLH is write-once, so the header blocks cannot be updated. This file format adds two trailer blocks to the file with the header information so that the beginning of the file does not need to be updated after the rest of the file is written.

The new file format enables OLH to run faster since it no longer needs to write file data multiple times to avoid updating the first two header blocks in the file. This feature adds views to Oracle Database that provide information about what metadata transforms are available for different modes of Oracle Data Pump and for the metadata API.

Now you can run these utilities on machines that do not have a complete Oracle Database installation. This enables you to create a data file that you can use on any system without hard coding the complete file specification in a data file. This feature simplifies the distribution of data files that can be loaded from different directory paths on different machines.

This feature changes these parameters to accept strings as a value. The DB2 export utility unloads table data into text files with the option to unload LOB data, either character or binary, into a separate file. Using TFA web sourcing, reviewing, and analyzing diagnostic information gathered as part of a TFA collection becomes easier and more efficient, leading to reduced recovery time. While similar to the diagnostic collection feature, the Oracle Trace File Analyzer TFA Collector allows centralization and automatic collection of diagnostic information.

TFA encapsulates diagnostic data collection for all clusters and Oracle Database components on all servers into a single command executed on one server only. The result can be stored on a central server and is trimmed to reduce data upload size. TFA can also be instructed to collect data for a particular product only. Incident-based diagnostic collection eases the diagnostic collection burden by instructing the Oracle Trace File Analyzer TFA Collector to take action only when certain messages are seen.

The ability to have the Oracle Trace File Analyzer TFA Collector manage the data collected not only simplifies the management of the system, but also ensures that relevant data is provided when needed. Oracle Trace File Analyzer TFA collects diagnostic data that can either be analyzed directly or serve as a data stream to auxiliary systems, such as Oracle Support Services, to be visualized or analyzed in a certain context. Users can enable message tracking functionality as an apply process parameter.

When enabled, this feature provides the database and replication administrators with more detail about the logical change records being processed. The trimming of files collected by the automatic diagnostic collection feature of the Oracle Trace File Analyzer can be controlled by the trimfiles parameter.

When enabled which is the default , files are trimmed to only include data from around the time of the event. Sparse backup supports full backup of databases, data files, and level 0 incremental and level 1 incremental backups. By doing backups for a sparse database, the entire base database is not backed up. Only the delta storage file changes happened using the sparse database is backed up. This dramatically reduces the overall backup time and the space required to store the backups.

RMAN now allows image copies to be created from sparse databases by leveraging the underlying sparse database mechanism to perform the image copy backup. There is no new command required for backup in the image copy format. An RMAN recovery operation is performed to bring the sparse database to the current time or to a certain point-in-time in the past.

This usually follows a restore operation. This feature allows complete or incomplete point-in-time recovery of a sparse database without affecting the base data files. This is a housekeeping activity to clean up unwanted or obsolete backups of sparse databases which are no longer required.

Retention policies can also influence the categorization status of backups to mark as obsolete. This feature enables performance tuning for read-only workloads executing on an Active Data Guard standby database. SQL Tuning Advisor has been enhanced so that tuning can be initiated on one database but the actual tuning process is executed remotely on a different database.

When offloading SQL tuning of primary database workloads to an Active Data Guard standby, the SQL tuning process is initiated from the primary database, but the expensive tuning process is executed remotely on the Active Data Guard standby and results are written back to the primary database using database links.

When tuning Active Data Guard workloads, the entire SQL tuning process is executed locally at the Active Data Guard standby while maintaining the read-only nature of the database.

This is accomplished by gathering the required information over database links from the primary database and writing back any database state changes such as SQL profile implementation over to the primary database. SQL profile recommendations implemented on the primary database are applied to the Active Data Guard standby using the redo apply mechanism. The business benefits of this feature are as follows:.

These enhancements lead to accurate diagnosis of performance problems, improved Oracle Quality of Service Management, and better quality testing with the lowest risk and effort. This also enhances system performance and reliability and lowers your overall management costs.

As of Oracle Database 12 c Release 2 Depending on the workload, the new replay mode can perform replays with more accuracy and less divergence. The information in the view can be used to determine whether indexes are used and the frequency of usage, and this information can be used to evaluate indexing strategies in the database.

A fine-grained information about which indexes are used and how frequently they are used allows you to eliminate infrequently used indexes. This results in better database performance and more effective system utilization. The EM Express now has the ability to create, delete, edit, activate, and deactivate resource manager plans for both multitenant container databases CDBs and non-CDB databases. A database administrator DBA can create resource manager plans with the appropriate level of detail for the environment.

In a CDB, the individual pluggable database PDB can be assigned the appropriate level of resources for their workload. SPA and SPA Quick Check allows the DBA to rapidly evaluate changes to the database environment that might affect database performance and to remediate any potential performance regressions assuring continuous good performance in their database. Security in a database environment is very important. By allowing access to all PDBs in a multitenant container database CDB from a single port, database security is enhanced by reducing open ports and possible attack vectors.

Additional performance tabs show information similar in detail to a non-CDB database. In environments when DBAs are administering individual PDBs, it is important that they are able to view all of the necessary information to correctly tune the workload in the PDB.

This enhancement allows the DBA to provide the required quality of service and meet the required service level agreements. This feature significantly improves the manageability of database resources through the following enhancements:.

The EM Express support for simplified management of database resources significantly reduces the burden on the database administrator DBA by helping to create and manage resource manager plans. Real-time database operations DBOP monitoring functionality has been significantly enhanced as follows:. These DBOP enhancements increase DBA efficiency by aligning business operations monitoring with end-user needs, resulting in better quality of service for business applications.

Since JMS sharded queue support of heterogeneous messages, dequeue gets one of the five JMS message types back, but cannot predict what the type is of the next message received. ADT payloads are important as it is a way to have different queue payloads needed by the applications. Database-specific drill down capability is added to ZFS analytics. With this feature, customers using Oracle Database with ZFSSA can see more details on how each database, including each pluggable database in a multitenant container database, is interacting with the storage using ZFSSA monitoring tools.

This feature introduces a shared Java connections pool for multitenant data sources. This feature leverages the new switch service functionality to reuse pooled connections across multitenant pluggable databases. This feature improves scalability, Oracle Cloud deployment, multitenant deployment, diagnosability, and manageability of Oracle Database connections through a global and shared connection pool. This feature improves the performance of Java, Hadoop or JavaScript modules running in Oracle Java Virtual Machine by means of implementing additional loop optimizations to the JIT just-in-time compiler.

The following optimizations were implemented:. The In-Memory Column Store allows objects tables, partitions, and subpartitions to be populated in memory in a compressed columnar format. In-memory expressions enable frequently evaluated query expressions to be materialized in the In-Memory Column Store for subsequent reuse.

Populating the materialized values of frequently used query expressions into the In-Memory Column Store greatly reduces the system resources required to execute queries and allows for better scalability. In-Memory virtual columns enable some or all of the user-defined virtual columns on a table to have their values materialized precalculated and populated into the In-Memory Column Store along with all of the non-virtual columns for that table.

Materializing the values of user-defined virtual columns into the In-Memory Column Store can greatly improve query performance by enabling the virtual column values to be scanned and filtered using In-Memory techniques such as SIMD single instruction, multiple data vector processing, just like a non-virtual column.

In-Memory Column Store allows objects for example, tables, partitions, and subpartitions to be populated in-memory in a compressed columnar format. Until now, the columnar format has only been available in-memory.

That meant that after a database restart, the In-Memory Column Store would have to be populated from scratch using a multiple step process that converts traditional row formatted data into the compressed columnar format and placed in-memory. In-Memory FastStart enables data to be repopulated into the In-Memory Column Store at a much faster rate than previously possible by saving a copy of the data currently populated in the In-Memory Column Store on disk in its compressed columnar format.

This allows businesses to start taking advantage of the analytic query performance benefits of accessing data in a columnar format much sooner than before. The automated capability of ADO depends on the Heat Map feature that tracks access at the row level aggregated to block-level statistics and at the segment level. Originally, ADO supported both compression tiering and storage tiering using policies defined at the segment or tablespace level. ADO ensures that only the best candidate objects are populated in the In-Memory Column Store using user defined policies.

This provides optimal performance without requiring regular intervention by the DBA to manually manage the content of the In-Memory Column Store. Data populated into the In-Memory Column Store is compressed using a number of different encoding techniques. If two columns used together in a join are encoded using different techniques, then both columns must be decompressed to conduct the join. A join group allows the user to specify which columns are used for joins across tables so those columns can always be compressed using the same encoding techniques.

Having columns that are used together in joins encoded using the same technique enables the join to be conducted without having to uncompress the columns greatly improving the efficiency of the join. A repository maintains usage information about expressions identified during compilation and captured during execution.

Complicated expressions involving multiple columns or functions make it more difficult to accurately estimate selectiveness in the optimizer, resulting in suboptimal plans. Processing more information about expressions and their usage is useful for establishing better query execution plans. Oracle Active Data Guard allows a standby database to be opened in read-only mode. This capability enables enterprises to off-load production reporting workloads from their primary databases to synchronized standby databases.

He started programming with Java in the time of Java 1. Make friend with him on Facebook and watch his Java videos you YouTube. Attachments: JdbcOracleConnection. Add comment Notify me of follow-up comments.

To migrate user settings from a previous SQL Developer release:. Operating System. CPU Type and Speed. Hard Drive Space. Java SDK. Oracle Linux 5. Pentium IV 2 GHz or faster. Dual 1. JDK 8 or 9. User-defined reports. User-defined snippets. SQL history. Code templates. SQL Developer user preferences. Oracle Database. Oracle 11gR2 Oracle 12c, 18c, 19c. Oracle Database Express Edition. Release 18c.

IBM DB2. For any DB2 release: db2jcc. Microsoft SQL Server. OCI password sqldev. November 19, 5 Mins Read. Oracle SQLcl: All the pretty colors for your console. October 25, Jerry Brumley 2 years ago Reply. Hopeful Regards, Jerry. John Thomas 2 years ago Reply. Better still if it trapped the error and offered the user the option to reset without supplying the old password… One for your wish list?

Karen Meyer 3 years ago Reply. See this thread , specifically the idea to use a profile and password verification function also wondering why not just let each student have their own account, and they could proxy connect through the main account perhaps…. Gerrit Haase 3 years ago Reply. Gerrit Haase 3 years ago. Tom Lawrence 5 years ago Reply. Mark Leci 5 years ago Reply.

Moreover, we can migrate data from 9i to 12c over a database link. From the opposite direction, if you want to connect from a Same reason here for ORA, it's a compatible issue:. To set the minimum authentication protocol allowed for clients, and when a server is acting as a client, such as connecting over a database link, when connecting to Oracle Database instances.

The connections from 9i to 12c can be worked around by the solutions provided in this post. ORA on the server. Therefore, changing or upgrading their own clients is probably the only solution to ORA No matching authentication protocol.

From now on, we begin to focus on clients. Since Oracle That's why you see ORA in java. SQLException error stack. Now, let's see some client tools that generate ORA and how we handle it. Basically, SQL developer is a self-contained software, you can unzip the software and start to use it.

So as to solve ORA Don't worry about the connection settings, the new SQL developer will prompt you the migration option in your first time open. Generally, it leverages your native Oracle client to find necessary configuration file. First of all, you have to download an Oracle instant client which contains corresponding OCI library. The proper version should be at least 11g.

Please make sure that at least Microsoft Visual Studio Redistributable has been installed in your machine before using Oracle instant client Point to new unzipped instant client's OCI. Please note that, you have to provide the whole absolute path including the filename, not just only the directory. Toad for Oracle is also an installer-based software that is mainly used for database administration and sometimes for development. As we can see, the tool utilized the underlying Oracle client 9.

The solution to ORA in Toad for Oracle is pretty straightforward, just install a newer Oracle client, at least 11g for Toad to utilize of. Please note that, Oracle client and Oracle instant client are different , the former is an install-based and full-fledged software, the later is a portable and partial-functioned package.