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Posts Tagged ‘administration’

DDL generation in PostgreSQL & a TRICK …

Posted by FatDBA on December 3, 2020

Hi Guys,

One of my friend recently asked if there is any way to get DDL of all objects that exists inside a schema in PostgreSQL without using any third party tools, something similar like dbms_metadata what we have in Oracle. Though it sounds trivial, but it’s not and this indeed an interesting question. I mean if you have to collect DDL for an Index, View, constraint, trigger or a function you have predefined/in-build PostgreSQL functions (pg_get_*def) and it will be easy to get the structure, but what if you want DDL of a Table, sequence or a type (There few more) ?

You might be thinking of doing concatenations or by doing some coding, and yes that can be done but that will be tricky and complicated. So there isn’t any direct way of generating definitions of said objects, but here comes the PG_DUMP utility for the rescue, you can take the dump of the entire schema and redirect its output in to a SQL file and you can get all your DDLs from the dump file.

Let’s do some hands on, I am on EDB PostgreSQL Version 10.12.20.

[enterprisedb@fatdba ~]$ psql
psql.bin (10.12.20)
Type "help" for help.

enterprisedb=# set search_path=migr;
enterprisedb=# \dtsvi+
                                                               List of relations
 Schema |            Name             |   Type   |    Owner     |         Table          |    Size    |              Description
 migr   | audits                      | table    | enterprisedb |                        | 0 bytes    |
 migr   | audits_audit_id_seq         | sequence | enterprisedb |                        | 8192 bytes |
 migr   | audits_pkey                 | index    | enterprisedb | audits                 | 8192 bytes |
 migr   | bar                         | table    | enterprisedb |                        | 8192 bytes |
 migr   | bar_pk                      | index    | enterprisedb | bar                    | 8192 bytes |
 migr   | bigtab                      | table    | enterprisedb |                        | 944 kB     |
 migr   | bigtab1                     | table    | enterprisedb |                        | 112 kB     |
 migr   | bigtab1_vw                  | view     | enterprisedb |                        | 0 bytes    |
 migr   | foo                         | table    | enterprisedb |                        | 8192 bytes |
 migr   | foo_bar                     | table    | enterprisedb |                        | 8192 bytes |
 migr   | foo_pk                      | index    | enterprisedb | foo                    | 8192 bytes |
 migr   | i_mlog$_bar                 | index    | enterprisedb | mlog$_bar              | 8192 bytes |
 migr   | i_mlog$_foo                 | index    | enterprisedb | mlog$_foo              | 8192 bytes |
 migr   | mlog$_bar                   | table    | enterprisedb |                        | 8192 bytes | snapshot log for master table MIGR.BAR
 migr   | mlog$_foo                   | table    | enterprisedb |                        | 8192 bytes | snapshot log for master table MIGR.FOO
 migr   | person_address_details      | table    | enterprisedb |                        | 40 kB      |
 migr   | person_address_details_pkey | index    | enterprisedb | person_address_details | 16 kB      |
 migr   | person_info                 | table    | enterprisedb |                        | 40 kB      |
 migr   | person_info_pkey            | index    | enterprisedb | person_info            | 16 kB      |
 migr   | trigger_test                | table    | enterprisedb |                        | 8192 bytes |
(20 rows)

This is how you can generate DDL’s for your views, Indexes and others.

enterprisedb=# select pg_get_viewdef('bigtab1_vw'::regclass, true);
  SELECT bigtab1.id,               +
     bigtab1.created_date,         +
     bigtab1.lookup_id,            +
     bigtab1.data                  +
    FROM bigtab1                   +
   WHERE bigtab1.id > 950::numeric;
(1 row)
enterprisedb=#  select pg_get_indexdef('person_address_details_pkey'::regclass);
 CREATE UNIQUE INDEX person_address_details_pkey ON migr.person_address_details USING btree (person_address_id)
(1 row)

Let’s take a pg_dump backup of this schema and will look out for table and other object definitions.

[enterprisedb@fatdba dumpddl]$ pg_dump --schema migr > migr_ddl.sql
[enterprisedb@fatdba dumpddl]$
[enterprisedb@fatdba dumpddl]$ ls -ltrh
total 728K
-rw-rw-r--. 1 enterprisedb enterprisedb 728K Nov 10 11:34 migr_ddl.sql

[enterprisedb@fatdba dumpddl]$ more migr_ddl.sql |grep -A 5 --color 'CREATE TABLE'
CREATE TABLE migr.audits (
    audit_id bigint NOT NULL,
    table_name character varying(255),
    transaction_name character varying(10),
    by_user character varying(30),
    transaction_date timestamp without time zone
CREATE TABLE migr.bar (
    foo numeric NOT NULL,
    bar numeric NOT NULL

CREATE TABLE migr.bigtab (
    id numeric(12,6),
    v1 character varying(10),
    padding character varying(50)

CREATE TABLE migr.bigtab1 (
    id numeric(10,0),
    created_date timestamp without time zone,
    lookup_id numeric(10,0),
    data character varying(50)
CREATE TABLE migr.foo (
    foo numeric NOT NULL

ALTER TABLE migr.foo OWNER TO enterprisedb;
CREATE TABLE migr.foo_bar (
    foo numeric,
    bar numeric,
    foo_rowid rowid,
    bar_rowid rowid
CREATE TABLE migr."mlog$_bar" (
    "m_row$$" character varying(255),
    "snaptime$$" timestamp without time zone,
    "dmltype$$" character varying(1),
    "old_new$$" character varying(1),
    "change_vector$$" bytea(255),
CREATE TABLE migr."mlog$_foo" (
    "m_row$$" character varying(255),
    "snaptime$$" timestamp without time zone,
    "dmltype$$" character varying(1),
    "old_new$$" character varying(1),
    "change_vector$$" bytea(255),
CREATE TABLE migr.person_address_details (
    person_address_id numeric(5,0) NOT NULL,
    person_id numeric(5,0),
    city character varying(15),
    state character varying(15),
    country character varying(20),
CREATE TABLE migr.person_info (
    person_id numeric(5,0) NOT NULL,
    first_name character varying(20),
    last_name character varying(20)

CREATE TABLE migr.trigger_test (
    id numeric NOT NULL,
    description character varying(50) NOT NULL


So, we finally got the DDL of tables and all objects inside the schema.

Hope It helped!
Prashant Dixit

Posted in Uncategorized | Tagged: , | Leave a Comment »

Thanks Percona for this great product called PMM (Percona Monitoring & Management Server)

Posted by FatDBA on December 2, 2020

Hi Guys,

For one of our customer we recently moved from on-prem to AWS cloud and we moved our entire infrastructure along with our MySQL & PostgreSQL Clusters. The very next question that started bothering us is to look out for any solid, stable and reliable monitoring and performance management tool, and then we learned about Percona’s Monitoring & Management Server (PMM).

After trying the setup we are pretty satisfied with it’s performance as it fulfils all our expectations from any monitoring tool to monitor our applications and databases. We found the product best in terms of Cost (comes with an hourly price of only $ 0.10/hr), highly secure (with SSL encryption) and offers some really cool and smart features.
There are many features what it offers, but being a long time Performance Consultant (DBA) I personally found the ‘Query Analytics’ section more useful and impressive. It has got everything what you need to know for your real-time workload, it provides an in-depth analysis of your queries i.e. execution plan, latency information, query fingerprints etc. This can provide very useful at the time when you have any problem in hand and want to deep dive in and want to know what all is going on with your system at the statement level.

It has got great integration with Grafana platform too, great data visualizations in the form of dashboards etc.

I will recommend this tool for people who are looking for any good stable monitoring platform along with performance administration tool. Not only for PostgreSQL & MySQL but it’s available for other platforms too like Amazon RDS MySQL, Amazon Aurora MySQL, MongoDB, Percona XtraDB Cluster and ProxySQL.

It’s available on both AWS and Azure markets.

Link to AWS Marketplace : https://aws.amazon.com/marketplace/pp/B077J7FYGX?qid=1605533229523&sr=0-1&ref_=srh_res_product_title

Link to Azure Marketplace: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/percona.pmm_2?tab=Overview


Hope It Helped!

Prashant Dixit

Posted in Uncategorized | Tagged: , , | Leave a Comment »

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