CREATE TABLE dbo.googledocs_tbl (
gdid int8 GENERATED BY DEFAULT AS IDENTITY( INCREMENT BY 1 MINVALUE 1 MAXVALUE 9223372036854775807 START 1 CACHE 1 NO CYCLE) NOT NULL,
userid int8 NOT NULL,
useremail varchar(600) NOT NULL,
title public.citext NULL,
authorname varchar(600) NULL,
authoremail varchar(600) NULL,
updated varchar(300) NOT NULL,
entryid varchar(2000) NOT NULL,
lastmodifiedby varchar(600) NULL,
lastmodifiedbyemail varchar(600) NULL,
"size" varchar(300) NULL,
contenttype varchar(250) NULL,
fileextension varchar(50) NULL,
docfoldername public.citext NULL,
folderresourceid public.citext NULL,
filesize int8 DEFAULT 0 NOT NULL,
retentionstatus int2 DEFAULT 0 NOT NULL,
docfileref int8 NULL,
usid int4 NULL,
archivepath varchar(500) NULL,
createddate timestamp(6) DEFAULT NULL::timestamp without time zone NULL,
zipfilename varchar(100) NULL,
oncreatedat timestamp(6) DEFAULT clock_timestamp() NOT NULL,
onupdateat timestamp(6) DEFAULT clock_timestamp() NOT NULL,
startsnapshot int4 DEFAULT 0 NOT NULL,
currentsnapshot int4 DEFAULT 0 NOT NULL,
dismiss int2 DEFAULT 0 NOT NULL,
checksum varchar NULL,
typeoffile int2 GENERATED ALWAYS AS (
CASE
WHEN authoremail::text = useremail::text THEN 0::smallint
ELSE 1::smallint
END) STORED NOT NULL,
parquetfilename varchar(100) NULL,
metadata_vector tsvector GENERATED ALWAYS AS (to_tsvector('english'::regconfig, (((((COALESCE(title::character varying, ''::text::character varying)::text || ' '::text) || (COALESCE(docfoldername::text, ''::text) || ' '::text)) || (COALESCE(authorname, ''::text::character varying)::text || ' '::text)) || (COALESCE(fileextension, ''::text::character varying)::text || ' '::text)) || (COALESCE(lastmodifiedby, ''::text::character varying)::text || ' '::text)) || COALESCE(contenttype, ''::character varying::text::character varying)::text)) STORED NULL,
isfileencrypted int4 DEFAULT 0 NULL,
addons_json jsonb DEFAULT '{}'::jsonb NULL,
CONSTRAINT googledocs_tbl_clone_pkey PRIMARY KEY (gdid, userid),
CONSTRAINT fk_googledocs_tbl_clone_users_tbl FOREIGN KEY (userid) REFERENCES dbo.users_tbl(uid) ON DELETE CASCADE
)
PARTITION BY HASH (userid);
Adrian, Please check this out;
PARTITION BY HASH (userid); CREATE TABLE dbo.googledocs_tbl_clone_part_0 PARTITION OF dbo.googledocs_tbl_clone FOR VALUES WITH (modulus 84, remainder 0); ... CREATE TABLE dbo.googledocs_tbl_clone_part_83 PARTITION OF dbo.googledocs_tbl_clone FOR VALUES WITH (modulus 84, remainder 83);On Mon, Dec 23, 2024 at 11:48 PM Divyansh Gupta JNsThMAudy <ag1567827@xxxxxxxxx> wrote:Adrian, the partition is on userid using hash partition with 84 partitions
Ron, there could be more than 20 Million records possible for a single userid in that case if I create index on userid only not on other column the query is taking more than 30 seconds to return the results.
On Mon, 23 Dec 2024, 11:40 pm Ron Johnson, <ronljohnsonjr@xxxxxxxxx> wrote:If your queries all reference userid, then you only need indices on gdid and userid.On Mon, Dec 23, 2024 at 12:49 PM Divyansh Gupta JNsThMAudy <ag1567827@xxxxxxxxx> wrote:I have one confusion with this design if I opt to create 50 columns I need to create 50 index which will work with userid index in Bitmap on the other hand if I create a JSONB column I need to create a single index ?
On Mon, 23 Dec 2024, 11:10 pm Ron Johnson, <ronljohnsonjr@xxxxxxxxx> wrote:Given what you just wrote, I'd stick with 50 separate t* columns. Simplifies queries, simplifies updates, and eliminates JSONB conversions.On Mon, Dec 23, 2024 at 12:29 PM Divyansh Gupta JNsThMAudy <ag1567827@xxxxxxxxx> wrote:Values can be updated based on customer actions
All rows won't have all 50 key value pairs always if I make those keys into columns the rows might have null value on the other hand if it is JSONB then the key value pair will not be there
Yes in UI customers can search for the key value pairs
During data population the key value pair will be empty array in case of JSONB column or NULL in case of table columns, later when customer performs some actions that time the key value pairs will populate and update, based on what action customer performs.
On Mon, 23 Dec 2024, 10:51 pm Divyansh Gupta JNsThMAudy, <ag1567827@xxxxxxxxx> wrote:Let's make it more understandable, here is the table schema with 50 columns in it
CREATE TABLE dbo.googledocs_tbl (
gdid int8 GENERATED BY DEFAULT AS IDENTITY( INCREMENT BY 1 MINVALUE 1 MAXVALUE 9223372036854775807 START 1 CACHE 1 NO CYCLE) NOT NULL,
userid int8 NOT NULL,
t1 int4 NULL,
t2 int4 NULL,
t3 int4 NULL,
t4 int4 NULL,
t5 int4 NULL,
t6 int4 NULL,
t7 int4 NULL,
t8 int4 NULL,
t9 int4 NULL,
t10 int4 NULL,
t11 int4 NULL,
t12 int4 NULL,
t13 int4 NULL,
t14 int4 NULL,
t15 int4 NULL,
t16 int4 NULL,
t17 int4 NULL,
t18 int4 NULL,
t19 int4 NULL,
t20 int4 NULL,
t21 int4 NULL,
t22 int4 NULL,
t23 int4 NULL,
t24 int4 NULL,
t25 int4 NULL,
t26 int4 NULL,
t27 int4 NULL,
t28 int4 NULL,
t29 int4 NULL,
t30 int4 NULL,
t31 int4 NULL,
t32 int4 NULL,
t33 int4 NULL,
t34 int4 NULL,
t35 int4 NULL,
t36 int4 NULL,
t37 int4 NULL,
t38 int4 NULL,
t39 int4 NULL,
t40 int4 NULL,
t41 int4 NULL,
t42 int4 NULL,
t43 int4 NULL,
t44 int4 NULL,
t45 int4 NULL,
t46 int4 NULL,
t47 int4 NULL,
t48 int4 NULL,
t49 int4 NULL,
t50 int4 NULL,
CONSTRAINT googledocs_tbl_pkey PRIMARY KEY (gdid),
);
Every time when i query I will query it along with userid
Ex : where userid = 12345678 and t1 in (1,2,3) and t2 in (0,1,2)
more key filters if customer applies
On the other hand if I create a single jsonb column the schema will look like :
CREATE TABLE dbo.googledocs_tbl (
gdid int8 GENERATED BY DEFAULT AS IDENTITY( INCREMENT BY 1 MINVALUE 1 MAXVALUE 9223372036854775807 START 1 CACHE 1 NO CYCLE) NOT NULL,
userid int8 NOT NULL,
addons_json jsonb default '{}'::jsonb
CONSTRAINT googledocs_tbl_pkey PRIMARY KEY (gdid),
);
and the query would be like
where userid = 12345678 and ((addons_json @> {t1:1}) or (addons_json @> {t1:2}) or (addons_json @> {t1:3})
more key filters if customer appliesOn Mon, Dec 23, 2024 at 10:38 PM David G. Johnston <david.g.johnston@xxxxxxxxx> wrote:On Mon, Dec 23, 2024, 10:01 Divyansh Gupta JNsThMAudy <ag1567827@xxxxxxxxx> wrote:
So here my question is considering one JSONB column is perfect or considering 50 columns will be more optimised.
The relational database engine is designed around the column-based approach. Especially if the columns are generally unchanging, combined with using fixed-width data types.David J.--Death to <Redacted>, and butter sauce.Don't boil me, I'm still alive.<Redacted> lobster!--Death to <Redacted>, and butter sauce.Don't boil me, I'm still alive.<Redacted> lobster!
