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Mastering PostgreSQL 9.6
Hans Jurgen Schonig 著
更新時間：2021-07-09 19:58:07
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Summary
IfyouareaPostgreSQLdataarchitectoranadministratorwhowantstounderstandhowtoimplementadvancedfunctionalitiesandmastercomplexadministrativetaskswithPostgreSQL,thenthisbookisperfectforyou.PriorexperienceofadministratingaPostgreSQLdatabaseandaworkingknowledgeofSQLisrequiredtomakethebestuseofthisbook.
最新章節
- Summary
- Using foreign data wrappers
- Using pg_chameleon
- Migrating data and schema
- Expecting problems
- Handling null values
品牌：中圖公司
上架時間：2021-07-09 18:20:39
出版社：Packt Publishing
本書數字版權由中圖公司提供，并由其授權上海閱文信息技術有限公司制作發行
- Summary 更新時間：2021-07-09 19:58:07
- Using foreign data wrappers
- Using pg_chameleon
- Migrating data and schema
- Expecting problems
- Handling null values
- Changing column definitions
- Handling data in MySQL and MariaDB
- Moving from MySQL or MariaDB to PostgreSQL
- Common pitfalls
- Using ora2pg to migrate from Oracle
- Using the oracle_fdw extension to move data
- Moving from Oracle to PostgreSQL
- Matching patterns in time series
- Supporting temporal tables
- Using temporal tables
- Supporting OFFSET clause
- Using OFFSET
- Supporting FETCH FIRST clause
- Using limit/offset
- Supporting TABLESAMPLE clause
- Using TABLESAMPLE clause
- Supporting WITHIN GROUP clause
- Using ordered sets - WITHIN GROUP clause
- Supporting windowing and analytics
- Using windowing functions
- Supporting FILTER clause
- Using FILTER clause
- Supporting WITH RECURSIVE clause
- Using WITH RECURSIVE clause
- Supporting WITH clause
- Using WITH clause - common table expressions
- Supporting grouping sets
- Using grouping sets
- Supporting lateral
- Using lateral joins
- Migrating SQL statements to PostgreSQL
- Migrating to PostgreSQL
- Summary
- Fighting table bloat
- Careless connection management
- Managing corrupted data pages
- Understanding checkpoint messages
- Facing clog corruption
- Understanding noteworthy error scenarios
- Checking for memory and I/O
- Checking for missing indexes
- Inspecting the log
- Digging deeper with perf
- Inspecting individual queries
- Checking for slow queries
- Figuring out where queries come from
- Treating Hibernate statements
- Querying pg_stat_activity
- Inspecting pg_stat_activity
- Approaching an unknown database
- Troubleshooting PostgreSQL
- Summary
- Other useful extensions
- Handling mistakes and typos
- Connecting to remote servers using postgres_fdw
- Fuzzy searches with pg_trgm
- Inspecting storage with pgstattuple
- Inspecting performance with pg_stat_statements
- Prewarming caches with pg_prewarm
- Encrypting data with pgcrypto
- Investigating caching with pg_buffercache
- Inspecting storage using pageinspect
- Fetching files with file_fdw
- Dblink - consider phasing out
- Deploying btree_gist and btree_gin
- Applying bloom filters
- Using the adminpack
- Making use of contrib modules
- Checking for available extensions
- Understanding how extensions work
- Deciding on Useful Extensions
- Summary
- Use cases of logical slots
- Handling logical replication slots
- Handling physical replication slots
- Making use of replication slots
- Adjusting durability
- Upgrading to synchronous replication
- Making replication more reliable
- Managing conflicts
- Performing failovers and understanding timelines
- Checking replication to ensure availability
- Halting and resuming replication
- Improving security
- Performing a basic setup
- Setting up asynchronous replication
- Cleaning up the transaction log archive
- Finding the right timestamp
- Replaying the transaction log
- Testing transaction log archiving
- Using different formats
- Mapping tablespaces
- Reducing the bandwidth of a backup
- Creating base backups
- Confguring the pg_hba.conf file
- Configuring for archiving
- Transaction log archiving and recovery
- Optimizing the transaction log
- Understanding checkpoints
- Looking at the transaction log
- Understanding the transaction log
- Making Sense of Backups and Replication
- Summary
- Handling global data
- Replaying backups
- Handling various data formats
- Extracting subsets of data
- Using service files
- Making use of .pgpass
- Using environment variables
- Passing passwords and connection information
- Running pg_dump
- Performing simple dumps
- Handling Backup and Recovery
- Summary
- Reassigning objects and dropping users
- Inspecting permissions
- Digging into row-level security - RLS
- Configuring default privileges
- Handling column-level security
- Working with tables
- Adjusting schema-level permissions
- Defining database-level security
- Creating and modifying users
- Handling instance-level security
- Handling SSL
- Managing pg_hba.conf
- Living in a world without TCP
- Inspecting connections and performance
- Understanding bind addresses and connections
- Managing network security
- Managing PostgreSQL Security
- Summary
- Using stored procedures
- Assigning costs to functions
- Using cached plans
- Reducing the number of function calls
- Improving stored procedure performance
- Handling errors
- Using the SPI interface
- Writing simple PL/Python code
- Introducing PL/Python
- Writing triggers in Perl
- Sharing data across function calls
- Escaping in PL/Perl and support functions
- Using SPI for set returning functions
- Making use of the SPI interface
- Deciding between PL/Perl and PL/PerlU
- Using PL/Perl for datatype abstraction
- Introducing PL/Perl
- Writing triggers in PL/pgSQL
- Utilizing composite types
- Using cursors to fetch data in chunks
- Making use of GET DIAGNOSTICS
- Understanding advanced error handling
- Managing scopes
- Handling quoting
- Introducing PL/pgSQL
- Understanding various stored procedure languages
- Using functions and transactions
- Making use of anonymous code blocks
- Introducing dollar quoting
- The anatomy of a stored procedure
- Understanding stored procedure languages
- Writing Stored Procedures
- Summary
- Speedup administrative tasks
- Speeding up sorting
- Adjusting parameters for good query performance
- Cleaning up data
- Moving tables in and out of partitioned structures
- Modifying inherited structures
- Applying table constraints
- Creating partitions
- Partitioning data
- Understanding genetic query optimization
- Enabling and disabling optimizer settings
- Understanding the join_collapse_limit variable
- Processing outer joins
- Getting joins right
- Understanding and fixing joins
- Fixing high buffer usage
- Inspecting buffer usage
- Inspecting estimates
- Spotting changes in runtime
- Spotting problems
- Making EXPLAIN more verbose
- Approaching plans systematically
- Understanding execution plans
- Speedup set operations
- Join pruning
- Understanding function inlining
- Constant folding
- Making the process fail
- Trying it all out
- Exhaustive searching
- Applying equality constraints
- Flattening subselects
- Inlining the view
- Applying transformations
- Merge joins
- Hash joins
- Nested loops
- Evaluating join options
- Optimizations by example
- Learning what the optimizer does
- Optimizing Queries for Good Performance
- Summary
- Defining what and how to log
- Logging slow queries
- Configuring syslog
- Defining log destination and rotation
- Configuring postgresql.conf file
- Creating log files
- Using pg_stat_statements
- Tracking vacuum progress
- Inspecting transactions in real time
- Checking SSL connections
- Tracking archiving and streaming
- Tracking the background worker
- Digging into indexes
- Making sense of pg_stat_user_tables
- Inspecting tables
- Inspecting databases
- Checking live traffic
- Working with PostgreSQL system views
- Gathering runtime statistics
- Log Files and System Statistics
- Summary
- Writing hypothetical aggregates
- Improving efficiency
- Adding support for parallel queries
- Creating simple aggregates
- Writing your own aggregates
- row_number() function
- first_value() nth_value() and last_value() functions
- lead() and lag() functions
- ntile() function
- rank and dense_rank functions
- Making use of onboard windowing functions
- Abstracting window clauses
- Using sliding windows
- Ordering data inside a window
- Partitioning data
- Utilizing windowing functions and analytics
- Understanding hypothetical aggregates
- Making use of ordered sets
- Combining grouping sets with the FILTER clause
- Investigating performance
- Applying grouping sets
- Loading some sample data
- Introducing grouping sets
- Handling Advanced SQL
- Summary
- Taking advantage of exclusion operators
- Gathering word statistics
- Debugging your search
- Defining GIN indexes
- Comparing strings
- Understanding full-text search - FTS
- Handling regular expressions
- Speed up LIKE queries
- Taking advantage of pg_trgm
- Achieving better answers with fuzzy searching
- Adding additional indexes
- Extending BRIN indexes
- BRIN indexes
- SP-GiST indexes
- Extending GIN
- GIN indexes
- Extending GiST
- Understanding how GiST works
- GiST indexes
- Hash indexes
- Understanding PostgreSQL index types
- Testing custom operator classes
- Creating operator classes
- Creating new operators
- Hacking up an operator class for a B-tree
- Introducing operator classes
- Adding data while indexing
- Reducing space consumption
- Adding functional indexes
- Combined indexes
- Understanding additional B-tree features
- Making use of index only scans
- Clustering tables
- Improving speed using clustered tables
- Using indexes in an intelligent way
- Using bitmap scans effectively
- Using more than one index at a time
- Making use of sorted output
- Deploying simple indexes
- Digging into the PostgreSQL cost model
- Making use of EXPLAIN
- Understanding simple queries and the cost model
- Making Use of Indexes
- Summary
- Making use of snapshot too old
- Watching VACUUM at work
- A word on VACUUM FULL
- Digging into transaction wraparound-related issues
- Configuring VACUUM and autovacuum
- Optimizing storage and managing cleanup
- Utilizing advisory locks
- Observing deadlocks and similar issues
- Considering SSI transactions
- Understanding transaction isolation levels
- Making use of FOR SHARE and FOR UPDATE
- Considering alternative solutions
- Avoiding typical mistakes and explicit locking
- Understanding basic locking
- Transactional DDLs
- Making use of savepoints
- Handling errors inside a transaction
- Working with PostgreSQL transactions
- Understanding Transactions and Locking
- Summary
- Adding snapshot too old
- Introducing parallel queries
- Using more advanced foreign data wrappers
- Checkpoint sorting and kernel interaction
- Improving relation extensions
- Understanding performance-related features
- Using multiple synchronous standby servers
- Streamlining wal_level and monitoring
- Using new backup and replication functionality
- Digging into new SQL and developer-related functions
- Improving vacuum speed
- Tracking vaccum progress
- Finding more detailed information in pg_stat_activity
- Killing idle sessions
- Understanding new database administration functions
- What is new in PostgreSQL 9.6?
- PostgreSQL Overview
- Questions
- Piracy
- Errata
- Customer support
- Reader feedback
- Conventions
- Who this book is for
- What you need for this book
- What this book covers
- Preface
- Customer Feedback
- www.PacktPub.com
- About the Reviewer
- About the Author
- Credits
- Title Page
- coverpage
- coverpage
- Title Page
- Credits
- About the Author
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Errata
- Piracy
- Questions
- PostgreSQL Overview
- What is new in PostgreSQL 9.6?
- Understanding new database administration functions
- Killing idle sessions
- Finding more detailed information in pg_stat_activity
- Tracking vaccum progress
- Improving vacuum speed
- Digging into new SQL and developer-related functions
- Using new backup and replication functionality
- Streamlining wal_level and monitoring
- Using multiple synchronous standby servers
- Understanding performance-related features
- Improving relation extensions
- Checkpoint sorting and kernel interaction
- Using more advanced foreign data wrappers
- Introducing parallel queries
- Adding snapshot too old
- Summary
- Understanding Transactions and Locking
- Working with PostgreSQL transactions
- Handling errors inside a transaction
- Making use of savepoints
- Transactional DDLs
- Understanding basic locking
- Avoiding typical mistakes and explicit locking
- Considering alternative solutions
- Making use of FOR SHARE and FOR UPDATE
- Understanding transaction isolation levels
- Considering SSI transactions
- Observing deadlocks and similar issues
- Utilizing advisory locks
- Optimizing storage and managing cleanup
- Configuring VACUUM and autovacuum
- Digging into transaction wraparound-related issues
- A word on VACUUM FULL
- Watching VACUUM at work
- Making use of snapshot too old
- Summary
- Making Use of Indexes
- Understanding simple queries and the cost model
- Making use of EXPLAIN
- Digging into the PostgreSQL cost model
- Deploying simple indexes
- Making use of sorted output
- Using more than one index at a time
- Using bitmap scans effectively
- Using indexes in an intelligent way
- Improving speed using clustered tables
- Clustering tables
- Making use of index only scans
- Understanding additional B-tree features
- Combined indexes
- Adding functional indexes
- Reducing space consumption
- Adding data while indexing
- Introducing operator classes
- Hacking up an operator class for a B-tree
- Creating new operators
- Creating operator classes
- Testing custom operator classes
- Understanding PostgreSQL index types
- Hash indexes
- GiST indexes
- Understanding how GiST works
- Extending GiST
- GIN indexes
- Extending GIN
- SP-GiST indexes
- BRIN indexes
- Extending BRIN indexes
- Adding additional indexes
- Achieving better answers with fuzzy searching
- Taking advantage of pg_trgm
- Speed up LIKE queries
- Handling regular expressions
- Understanding full-text search - FTS
- Comparing strings
- Defining GIN indexes
- Debugging your search
- Gathering word statistics
- Taking advantage of exclusion operators
- Summary
- Handling Advanced SQL
- Introducing grouping sets
- Loading some sample data
- Applying grouping sets
- Investigating performance
- Combining grouping sets with the FILTER clause
- Making use of ordered sets
- Understanding hypothetical aggregates
- Utilizing windowing functions and analytics
- Partitioning data
- Ordering data inside a window
- Using sliding windows
- Abstracting window clauses
- Making use of onboard windowing functions
- rank and dense_rank functions
- ntile() function
- lead() and lag() functions
- first_value() nth_value() and last_value() functions
- row_number() function
- Writing your own aggregates
- Creating simple aggregates
- Adding support for parallel queries
- Improving efficiency
- Writing hypothetical aggregates
- Summary
- Log Files and System Statistics
- Gathering runtime statistics
- Working with PostgreSQL system views
- Checking live traffic
- Inspecting databases
- Inspecting tables
- Making sense of pg_stat_user_tables
- Digging into indexes
- Tracking the background worker
- Tracking archiving and streaming
- Checking SSL connections
- Inspecting transactions in real time
- Tracking vacuum progress
- Using pg_stat_statements
- Creating log files
- Configuring postgresql.conf file
- Defining log destination and rotation
- Configuring syslog
- Logging slow queries
- Defining what and how to log
- Summary
- Optimizing Queries for Good Performance
- Learning what the optimizer does
- Optimizations by example
- Evaluating join options
- Nested loops
- Hash joins
- Merge joins
- Applying transformations
- Inlining the view
- Flattening subselects
- Applying equality constraints
- Exhaustive searching
- Trying it all out
- Making the process fail
- Constant folding
- Understanding function inlining
- Join pruning
- Speedup set operations
- Understanding execution plans
- Approaching plans systematically
- Making EXPLAIN more verbose
- Spotting problems
- Spotting changes in runtime
- Inspecting estimates
- Inspecting buffer usage
- Fixing high buffer usage
- Understanding and fixing joins
- Getting joins right
- Processing outer joins
- Understanding the join_collapse_limit variable
- Enabling and disabling optimizer settings
- Understanding genetic query optimization
- Partitioning data
- Creating partitions
- Applying table constraints
- Modifying inherited structures
- Moving tables in and out of partitioned structures
- Cleaning up data
- Adjusting parameters for good query performance
- Speeding up sorting
- Speedup administrative tasks
- Summary
- Writing Stored Procedures
- Understanding stored procedure languages
- The anatomy of a stored procedure
- Introducing dollar quoting
- Making use of anonymous code blocks
- Using functions and transactions
- Understanding various stored procedure languages
- Introducing PL/pgSQL
- Handling quoting
- Managing scopes
- Understanding advanced error handling
- Making use of GET DIAGNOSTICS
- Using cursors to fetch data in chunks
- Utilizing composite types
- Writing triggers in PL/pgSQL
- Introducing PL/Perl
- Using PL/Perl for datatype abstraction
- Deciding between PL/Perl and PL/PerlU
- Making use of the SPI interface
- Using SPI for set returning functions
- Escaping in PL/Perl and support functions
- Sharing data across function calls
- Writing triggers in Perl
- Introducing PL/Python
- Writing simple PL/Python code
- Using the SPI interface
- Handling errors
- Improving stored procedure performance
- Reducing the number of function calls
- Using cached plans
- Assigning costs to functions
- Using stored procedures
- Summary
- Managing PostgreSQL Security
- Managing network security
- Understanding bind addresses and connections
- Inspecting connections and performance
- Living in a world without TCP
- Managing pg_hba.conf
- Handling SSL
- Handling instance-level security
- Creating and modifying users
- Defining database-level security
- Adjusting schema-level permissions
- Working with tables
- Handling column-level security
- Configuring default privileges
- Digging into row-level security - RLS
- Inspecting permissions
- Reassigning objects and dropping users
- Summary
- Handling Backup and Recovery
- Performing simple dumps
- Running pg_dump
- Passing passwords and connection information
- Using environment variables
- Making use of .pgpass
- Using service files
- Extracting subsets of data
- Handling various data formats
- Replaying backups
- Handling global data
- Summary
- Making Sense of Backups and Replication
- Understanding the transaction log
- Looking at the transaction log
- Understanding checkpoints
- Optimizing the transaction log
- Transaction log archiving and recovery
- Configuring for archiving
- Confguring the pg_hba.conf file
- Creating base backups
- Reducing the bandwidth of a backup
- Mapping tablespaces
- Using different formats
- Testing transaction log archiving
- Replaying the transaction log
- Finding the right timestamp
- Cleaning up the transaction log archive
- Setting up asynchronous replication
- Performing a basic setup
- Improving security
- Halting and resuming replication
- Checking replication to ensure availability
- Performing failovers and understanding timelines
- Managing conflicts
- Making replication more reliable
- Upgrading to synchronous replication
- Adjusting durability
- Making use of replication slots
- Handling physical replication slots
- Handling logical replication slots
- Use cases of logical slots
- Summary
- Deciding on Useful Extensions
- Understanding how extensions work
- Checking for available extensions
- Making use of contrib modules
- Using the adminpack
- Applying bloom filters
- Deploying btree_gist and btree_gin
- Dblink - consider phasing out
- Fetching files with file_fdw
- Inspecting storage using pageinspect
- Investigating caching with pg_buffercache
- Encrypting data with pgcrypto
- Prewarming caches with pg_prewarm
- Inspecting performance with pg_stat_statements
- Inspecting storage with pgstattuple
- Fuzzy searches with pg_trgm
- Connecting to remote servers using postgres_fdw
- Handling mistakes and typos
- Other useful extensions
- Summary
- Troubleshooting PostgreSQL
- Approaching an unknown database
- Inspecting pg_stat_activity
- Querying pg_stat_activity
- Treating Hibernate statements
- Figuring out where queries come from
- Checking for slow queries
- Inspecting individual queries
- Digging deeper with perf
- Inspecting the log
- Checking for missing indexes
- Checking for memory and I/O
- Understanding noteworthy error scenarios
- Facing clog corruption
- Understanding checkpoint messages
- Managing corrupted data pages
- Careless connection management
- Fighting table bloat
- Summary
- Migrating to PostgreSQL
- Migrating SQL statements to PostgreSQL
- Using lateral joins
- Supporting lateral
- Using grouping sets
- Supporting grouping sets
- Using WITH clause - common table expressions
- Supporting WITH clause
- Using WITH RECURSIVE clause
- Supporting WITH RECURSIVE clause
- Using FILTER clause
- Supporting FILTER clause
- Using windowing functions
- Supporting windowing and analytics
- Using ordered sets - WITHIN GROUP clause
- Supporting WITHIN GROUP clause
- Using TABLESAMPLE clause
- Supporting TABLESAMPLE clause
- Using limit/offset
- Supporting FETCH FIRST clause
- Using OFFSET
- Supporting OFFSET clause
- Using temporal tables
- Supporting temporal tables
- Matching patterns in time series
- Moving from Oracle to PostgreSQL
- Using the oracle_fdw extension to move data
- Using ora2pg to migrate from Oracle
- Common pitfalls
- Moving from MySQL or MariaDB to PostgreSQL
- Handling data in MySQL and MariaDB
- Changing column definitions
- Handling null values
- Expecting problems
- Migrating data and schema
- Using pg_chameleon
- Using foreign data wrappers
- Summary 更新時間：2021-07-09 19:58:07
