Re: PGSQL 9.3 - billion rows

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​Hello,

I have a fact table ( table and indexes are bellow ) that will probably get arround 2 billion rows.

- Can postgresql support such table (this table is the fact table of a datamart -> many join query with dimensions tables) ?

- If yes, I would like to test (say insert 2 billion test rows), what serveur configuration do I need ? How much RAM ?

- If not, would it be better to think about a cluster or other ?

- (Have you any idea to optimize this table ?)

Thanks a lot !

CREATE TABLE observation_fact
(
  encounter_num integer NOT NULL,
  patient_num integer NOT NULL,
  concept_cd character varying(50) NOT NULL,
  provider_id character varying(50) NOT NULL,
  start_date timestamp without time zone NOT NULL,
  modifier_cd character varying(100) NOT NULL DEFAULT '@'::character varying,
  instance_num integer NOT NULL DEFAULT 1,
  valtype_cd character varying(50),
  tval_char character varying(255),
  nval_num numeric(18,5),
  valueflag_cd character varying(50),
  quantity_num numeric(18,5),
  units_cd character varying(50),
  end_date timestamp without time zone,
  location_cd character varying(50),
  observation_blob text,
  confidence_num numeric(18,5),
  update_date timestamp without time zone,
  download_date timestamp without time zone,
  import_date timestamp without time zone,
  sourcesystem_cd character varying(50),
  upload_id integer,
  text_search_index serial NOT NULL,
  CONSTRAINT observation_fact_pk PRIMARY KEY (patient_num, concept_cd, modifier_cd, start_date, encounter_num, instance_num, provider_id)
)
WITH (
  OIDS=FALSE
);


CREATE INDEX of_idx_allobservation_fact
  ON i2b2databeta.observation_fact
  USING btree
  (patient_num, encounter_num, concept_cd COLLATE pg_catalog."default", start_date, provider_id COLLATE pg_catalog."default", modifier_cd COLLATE pg_catalog."default", instance_num, valtype_cd COLLATE pg_catalog."default", tval_char COLLATE pg_catalog."default", nval_num, valueflag_cd COLLATE pg_catalog."default", quantity_num, units_cd COLLATE pg_catalog."default", end_date, location_cd COLLATE pg_catalog."default", confidence_num);


CREATE INDEX of_idx_clusteredconcept
  ON i2b2databeta.observation_fact
  USING btree
  (concept_cd COLLATE pg_catalog."default");


CREATE INDEX of_idx_encounter_patient
  ON i2b2databeta.observation_fact
  USING btree
  (encounter_num, patient_num, instance_num);


CREATE INDEX of_idx_modifier
  ON i2b2databeta.observation_fact
  USING btree
  (modifier_cd COLLATE pg_catalog."default");

CREATE INDEX of_idx_sourcesystem_cd
  ON i2b2databeta.observation_fact
  USING btree
  (sourcesystem_cd COLLATE pg_catalog."default");


CREATE INDEX of_idx_start_date
  ON i2b2databeta.observation_fact
  USING btree
  (start_date, patient_num);


CREATE INDEX of_idx_uploadid
  ON i2b2databeta.observation_fact
  USING btree
  (upload_id);


CREATE UNIQUE INDEX of_text_search_unique
  ON i2b2databeta.observation_fact
  USING btree
  (text_search_index);
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