polardbxengine/mysql-test/suite/ndb_big/ndb_big_addnode.result

result_format: 2
connect  j1,localhost,root,,test;
connect  j2,localhost,root,,test;
connect  j3,localhost,root,,test;
connect  j4,localhost,root,,test;

connect  ddl,localhost,root,,test,$MASTER_MYPORT1,;

connection ddl;

CREATE LOGFILE GROUP lg_1
    ADD UNDOFILE 'undo_1.dat'
    INITIAL_SIZE 4M
    UNDO_BUFFER_SIZE 2M
    ENGINE NDB;

CREATE TABLESPACE ts_1
    ADD DATAFILE 'data_1.dat'
    USE LOGFILE GROUP lg_1
    INITIAL_SIZE 16M
    ENGINE NDB;

create table t1(id int NOT NULL PRIMARY KEY, data char(8)) engine=ndb;
create table t2(id int NOT NULL PRIMARY KEY, data char(8))
TABLESPACE ts_1 STORAGE DISK engine=ndb;
create table t5(id int NOT NULL PRIMARY KEY, data char(8)) max_rows=50000000 engine=ndb;
create table t6(id int not null primary key, val int unique key, dat blob, txt text) engine=ndb;



load data local infile 'suite/ndb/data/table_data10000.dat' into table t1 fields terminated by ' ' lines terminated by '\n';
load data local infile 'suite/ndb/data/table_data10000.dat' into table t2 fields terminated by ' ' lines terminated by '\n';
load data local infile 'suite/ndb/data/table_data10000.dat' into table t5 fields terminated by ' ' lines terminated by '\n';
load data local infile 'suite/ndb/data/table_data10000.dat' into table t6 fields terminated by ' ' lines terminated by '\n' ignore 9000 lines (@id, @data) set id = (@id - 9000)*10 - 9, val = (@id - 9000)*10 - 9, dat = repeat(@data, 10000), txt = repeat(@data,10000);

select count(1) as t1_part_count from information_schema.partitions where table_schema='test' and table_name='t1';
t1_part_count
8
select count(1) as t2_part_count from information_schema.partitions where table_schema='test' and table_name='t2';
t2_part_count
8
select @init_t5_part_count:= count(1) as t5_part_count from information_schema.partitions where table_schema='test' and table_name='t5';
t5_part_count
8
select count(1) as t6_part_count from information_schema.partitions where table_schema='test' and table_name='t6';
t6_part_count
8

connection default;
explain
  select count(*)
  from t6 join t1
  on (t6.val = t1.id)
  where t6.val < 25;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t6	range	val	val	5	NULL	###	Parent of 2 pushed join@1; Using where with pushed condition; Using MRR
1	SIMPLE	t1	eq_ref	PRIMARY	PRIMARY	4	test.t6.val	###	Child of 't6' in pushed join@1

Starting engines...
connection j1;
call updateload(300,0);

connection j2;
call queryload(300,2000);

connection j3;
call updateload(300,4000);

connection j4;
call queryload(300,6000);

connection default;

connection ddl;


## Check details of t5 partitioning
FragmentCount 8
HashMap DEFAULT-HASHMAP-3840-8


## Check details of t6 partitioning
FragmentCount 8
HashMap DEFAULT-HASHMAP-3840-8
FragmentCount 8
HashMap DEFAULT-HASHMAP-3840-8
FragmentCount 8
HashMap DEFAULT-HASHMAP-3840-8


## Create nodegroup for "new" nodes
Nodegroup 1 created
## Drop
Drop Node Group 1 done
## and create
Nodegroup 1 created
create table t3(id int NOT NULL PRIMARY KEY, data char(8)) engine=ndb;
create table t4(id int NOT NULL PRIMARY KEY, data char(8))
TABLESPACE ts_1 STORAGE DISK engine=ndb;

insert into t3(id, data) VALUES 
(1,'new'), (2,'new'),(3,'new'),(4,'new'),(5,'new'),
(6,'new'),(7,'new'),(8,'new'),(9,'new'),(10,'new');
insert into t4(id, data) VALUES
(1,'new'), (2,'new'),(3,'new'),(4,'new'),(5,'new'),
(6,'new'),(7,'new'),(8,'new'),(9,'new'),(10,'new');

connection ddl;

alter table t1 algorithm=inplace, reorganize partition;
alter table t2 algorithm=inplace, reorganize partition;
alter table t5 algorithm=inplace, max_rows=300000000;
alter table t6 algorithm=inplace, reorganize partition;

connection default;
connection ddl;
select count(1) as t1_part_count from information_schema.partitions where table_schema='test' and table_name='t1';
t1_part_count
16
select count(1) as t2_part_count from information_schema.partitions where table_schema='test' and table_name='t2';
t2_part_count
16
select count(1) as t3_part_count from information_schema.partitions where table_schema='test' and table_name='t3';
t3_part_count
16
select count(1) as t4_part_count from information_schema.partitions where table_schema='test' and table_name='t4';
t4_part_count
16
select @reorg_t5_part_count:= count(1) as t5_part_count from information_schema.partitions where table_schema='test' and table_name='t5';
t5_part_count
16
select count(1) as t6_part_count from information_schema.partitions where table_schema='test' and table_name='t6';
t6_part_count
16

## Check details of t5 partitioning
FragmentCount 16
HashMap DEFAULT-HASHMAP-3840-16



## Simple blob usage of t6
select count(0) as row_count, min(abs(id)) as id_min, max(id) as id_max, sum(length(dat)) as data_length, sum(length(txt)) as text_length from t6;
row_count	id_min	id_max	data_length	text_length
1000	1	9991	29740000	29740000
select count(0) from t6 where val = abs(id) and (id between -4991 and -4001 or id between -991 and 9991);
count(0)
1000

## Check details of t6 partitioning
FragmentCount 16
HashMap DEFAULT-HASHMAP-3840-16
FragmentCount 16
HashMap DEFAULT-HASHMAP-3840-16
FragmentCount 16
HashMap DEFAULT-HASHMAP-3840-16


HashMap DEFAULT-HASHMAP-3840-16
HashMap DEFAULT-HASHMAP-3840-16
HashMap DEFAULT-HASHMAP-3840-16


drop table t1,t2,t3,t4,t5,t6;

connection default;
connection j1;
connection j2;
connection j3;
connection j4;
connection ddl;

connection default;

disconnect j1;
disconnect j2;
disconnect j3;
disconnect j4;

connection default;

drop procedure queryload;
drop procedure updateload;

connection ddl;
## Drop nodegroup with "new" nodes
Drop Node Group 1 done
ALTER TABLESPACE ts_1 DROP DATAFILE 'data_1.dat';
DROP TABLESPACE ts_1;
DROP LOGFILE GROUP lg_1 ENGINE NDB;
disconnect ddl;

connection default;