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It is only generated by database admin but if it asked from Developer or different team then DBA has to share the report with them for there analysis.

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Sure I will create DBA sessions in Hindi. It will be uploaded soon.

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Glad you like them! Thanks :)

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Thank you for your concern, I really appreciate it and will work on improving the voice and video quality in near upcoming video !!

Hello , You can find interview questions and answers from my blog - asrblogger.com/category/interview-questions/. If still you want some clarification , do ping me on LinkedIn so that I can help you out: www.linkedin.com/in/anishh-kumar/ Thanks and Happy Learning !! :)

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Hello Amit, Yes I used to provide training. Feel free to DM me if you are interested on any course or topics. LinkedIn: www.linkedin.com/in/anishh-kumar/

Hello , These are my past sessions. You can connect me for more info: LinkedIn: www.linkedin.com/in/anishh-kumar/

Hello, Sure I will work on creating video related to your mentioned topics !!

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How It Works: Row Migration Example Initial State: Block A contains Row 1. Block A has 3 KB of free space. Row 1 size: 4 KB (fits in Block A initially). Update: Row 1 is updated and grows to 5 KB. Block A no longer has enough space for Row 1. Migration Process: Oracle finds a new block, Block B, with sufficient space (8 KB free). Row 1 is moved entirely to Block B. Block A retains a pointer to Block B. Result: Row 1 resides entirely in Block B. Block A has a pointer to Block B. No part of Row 1 remains in Block A.

Row Chaining Example: Initial State: A new row (Row 2) is being inserted. Row 2 size: 12 KB. Chaining Process: Block C has 8 KB free. Block D has 8 KB free. Insert: Row 2 cannot fit into a single block. The first 8 KB of Row 2 is stored in Block C. The remaining 4 KB of Row 2 is stored in Block D. Block C has a pointer to Block D. Result: Row 2 spans Block C and Block D. Block C contains the first part of Row 2 and a pointer to Block D. Block D contains the remaining part of Row 2.

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Thanks for ur explanation here.. Its clear now..

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Build a Professional Network: ** You can choose a mentorship program from a professional who can help guide you towards career success. For more details, visit: [Career Guidance](pages.razorpay.com/CarerGuidace). ** 1. Join Professional Communities: Participate in forums like Stack Overflow, Oracle Community, and LinkedIn groups. 2. Attend Events and Meetups: Attend industry conferences, webinars, and local meetups to learn from professionals and network with peers.

Using V$OBJECT_USAGE The V$OBJECT_USAGE view keeps track of whether an index has been used since it was last monitored. You need to start monitoring an index first: Start Monitoring an Index: ALTER INDEX index_name MONITORING USAGE; Query the Usage: After some time, you can check if the index has been used: SELECT index_name, table_name, monitoring, used, start_monitoring, end_monitoring FROM V$OBJECT_USAGE WHERE index_name = 'INDEX_NAME'; Stop Monitoring an Index: ALTER INDEX index_name NOMONITORING USAGE; Hope it helped !! :)

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Thank you for watching, Sneha! Best of luck with your career transition to an Oracle DBA.

Tuning a SELECT query can involve several steps and tools, including the SQL Tuning Advisor and the EXPLAIN PLAN. I personally use SQL Tuning Advisory as my first preference, but selecting tools is decided as per the problem summary. Identify the Performance Issue: Determine if the query is running slowly or causing performance bottlenecks. Review the Query: Ensure the query is written efficiently. Check for unnecessary complexity, redundant conditions, and suboptimal joins. Use EXPLAIN PLAN: Generate an execution plan using the EXPLAIN PLAN statement to understand how Oracle executes the query. Look for full table scans, nested loops, and other potentially inefficient operations. Syntax: EXPLAIN PLAN FOR your_select_query; Analyze the Execution Plan: Identify which parts of the query are consuming the most resources. Check for missing indexes or suboptimal join methods. Optimize Query Structure: Simplify complex queries. Rewrite subqueries as joins or vice versa if it improves performance. Use appropriate indexing. Add/Modify Indexes: Ensure that the columns used in WHERE clauses, joins, and ORDER BY clauses are indexed appropriately. Consider adding composite indexes if multiple columns are frequently queried together. Statistics Collection: Ensure that table and index statistics are up to date using DBMS_STATS.GATHER_TABLE_STATS and DBMS_STATS.GATHER_INDEX_STATS. Use SQL Tuning Advisor: Run the SQL Tuning Advisor to get automated suggestions for query optimization. It provides recommendations on indexes, SQL profiles, and query restructuring. Syntax: EXEC DBMS_SQLTUNE.create_tuning_task(sql_text => 'your_select_query'); Review Advisor Recommendations: Assess the recommendations provided by the SQL Tuning Advisor and implement the ones that make sense for your context. Hope it helped :)

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Please check out the flow : asrblogger.com/how-insert-statement-get-executed-in-oracle/

1. Cache Miss Detection: The server process detects that the required data block is not in the Database Buffer Cache. 2. Search for Free Buffer: The server process searches for a free buffer in the Database Buffer Cache where the new data block can be loaded. If a free buffer is not available, it may need to replace an existing buffer, following the Least Recently Used (LRU) algorithm. 3. Buffer Replacement (if necessary): If the buffer chosen for replacement contains dirty data (modified but not yet written to disk), the server process initiates a write operation to flush the dirty buffer to the datafiles using the Database Writer (DBWn) process. 4. Read Data Block from Disk: The server process issues an I/O request to read the data block from the appropriate datafile. This request is sent to the operating system, which then reads the block from the storage system. 5. Load Block into Buffer Cache: Once the data block is read from disk, it is loaded into the free or replaced buffer in the Database Buffer Cache. 6. Mark Buffer as Pinned: The server process marks the buffer as pinned to indicate that it is currently being used, preventing other processes from replacing it while it is in use. 7. Return Data to User: The server process accesses the required data from the newly loaded block in the Database Buffer Cache and returns the data to the user or application. 8. Unpin the Buffer: After the data is accessed, the server process unpins the buffer, making it available for other processes to use. Hope it helped !! :)

Slow uploading of files to an Oracle server can be caused by various factors. To diagnose and resolve this issue, consider the following steps: Network Bandwidth and Latency: Check Network Speed: Ensure that the network connection between the client and the Oracle server is fast and reliable. Latency: High latency can slow down file uploads. Use tools like ping or traceroute to diagnose network delays. Server Resources: CPU and Memory: Ensure that the server has adequate CPU and memory resources. High CPU or memory usage can slow down file uploads. Disk I/O: Slow disk performance can affect file uploads. Check disk I/O performance using tools like iostat or vmstat. Oracle Database Configuration: Direct Path Load: For large file uploads, consider using direct path load methods such as SQL*Loader with the DIRECT parameter, which bypasses some of the overhead of conventional path loads. BLOB/CLOB Data Types: If you are uploading large files as BLOB or CLOB, ensure that you are using efficient methods to write these large objects. Database Parameters: LOG_BUFFER: A small log buffer can slow down file writes. Increase the size of the LOG_BUFFER parameter if necessary. DB_FILE_MULTIBLOCK_READ_COUNT: Adjust this parameter to optimize the number of blocks read in one I/O operation. Hope it helped !! :)

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1. Schema statistics refer to the statistics collected for objects within a specific schema. 2. These statistics provide information about the distribution of data within tables, indexes, and other objects owned by a particular schema. 3. Schema statistics are useful for understanding the characteristics and distribution of data within a specific schema, which can be helpful for query optimization and performance tuning at the schema level. 4. These statistics are typically collected using the DBMS_STATS package or through the ANALYZE command with specific options. ============================================== 1. Database statistics, on the other hand, encompass statistics collected for the entire database. 2. These statistics provide a broader view of the database, including information about the distribution of data across all schemas and objects within the database. 3. Database statistics include metrics such as total database size, number of objects, average row length, and other aggregate information about the database as a whole. 4. Database statistics are essential for monitoring overall database health, identifying trends, and making high-level decisions related to database management and resource allocation. 5. Database statistics are typically collected using tools such as Oracle Enterprise Manager (OEM), Oracle's Automatic Workload Repository (AWR), or by querying system views such as DBA_TABLES, DBA_INDEXES, etc.

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In Oracle, the estimate_percent parameter is used when gathering statistics on tables or indexes. - Automatic Statistics Collection - Manual Statistics Collection EXEC DBMS_STATS.GATHER_TABLE_STATS('schema_name', 'table_name', estimate_percent => 20);

Yes , we are going to publish full course on PT very soon !!!

Hi, Kindly increase the quality setting of the video. Thanks!!