tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the rele- vant sections in Chapter 8 and Chapter 9 for more information insert code into the backend server that other users may execute without knowing it. Hence, both mechanisms permit users to “Trojan horse” others with relative ease. The only real protection is tight control encodings in different databases of a cluster is more theoretical than real. It is likely that these mechanisms will be revisited in future versions of PostgreSQL. One way to use multiple encodings safely is

tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the relevant sections in Chapter 8 and Chapter 9 for more information insert code into the backend server that other users may execute without knowing it. Hence, both mechanisms permit users to “Trojan horse” others with relative ease. The only real protection is tight control encodings in different databases of a cluster is more theoretical than real. It is likely that these mechanisms will be revisited in future versions of PostgreSQL. One way to use multiple encodings safely is

tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the rele- vant sections in Chapter 8 and Chapter 9 for more information to insert code into the backend server that other users may execute unintentionally. Hence, both mechanisms permit users to “Trojan horse” others with relative ease. The only real protection is tight control encodings in different databases of a cluster is more theoretical than real. It is likely that these mechanisms will be revisited in future versions of PostgreSQL. One way to use multiple encodings safely is

tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the rele- vant sections in Chapter 8 and Chapter 9 for more information to insert code into the backend server that other users may execute unintentionally. Hence, both mechanisms permit users to “Trojan horse” others with relative ease. The only real protection is tight control encodings in different databases of a cluster is more theoretical than real. It is likely that these mechanisms will be revisited in future versions of PostgreSQL. One way to use multiple encodings safely is

PostgreSQL offers two types for storing JSON data: json and jsonb. To implement efficient query mechanisms for these data types, PostgreSQL also provides the jsonpath data type described in Section 8.14 tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the relevant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of

PostgreSQL offers two types for storing JSON data: json and jsonb. To implement efficient query mechanisms for these data types, PostgreSQL also provides the jsonpath data type described in Section 8.14 tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the relevant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of

PostgreSQL offers two types for storing JSON data: json and jsonb. To implement efficient query mechanisms for these data types, PostgreSQL also provides the jsonpath data type described in Section 8.14 tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the relevant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of

PostgreSQL offers two types for storing JSON data: json and jsonb. To implement efficient query mechanisms for these data types, PostgreSQL also provides the jsonpath data type described in Sec- tion 8 tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the rele- vant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of

tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the relevant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of operating systems providing the getpeereid() function, the SO_PEERCRED socket parameter, or similar mechanisms. Currently that includes Linux, most flavors of BSD including macOS, and Solaris. 20.10. LDAP

PostgreSQL offers two types for storing JSON data: json and jsonb. To implement efficient query mechanisms for these data types, PostgreSQL also provides the jsonpath data type described in Sec- tion 8 tailored by using explicit type conversion. This chapter introduces the PostgreSQL type conversion mechanisms and conventions. Refer to the rele- vant sections in Chapter 8 and Chapter 9 for more information PGOPTIONS="-c geqo=off -c statement_timeout=5min" psql Other clients and libraries might provide their own mechanisms, via the shell or otherwise, that allow the user to alter session settings without direct use of