在 timescaledb 中使用不同的列名和列顺序将数据从一个表复制到另一个表

Question

I have 2 timescaledb tables with different order of columns and even different column names for for some. Is it possible for me to copy data from one table to another table?

Essentially the new table has hyper table on it, but the old one does not have hyper table on it.

I have looked at https://docs.timescale.com/timescaledb/latest/how-to-guides/migrate-data/same-db/ However it only seems to tell i need to have same column names and even the same column order in the create table syntax. Can you assist, am new to timescaledb

eg:

**table1**
id 
price
datetime_string


**table2**
id 
time
price

Answer 1

I created a minimal example here:

CREATE TABLE old_table ( id bigserial, time_string text NOT NULL, price decimal);
CREATE TABLE new_table ( time TIMESTAMP NOT NULL,  price decimal);
SELECT create_hypertable('new_table', 'time');


INSERT INTO old_table (time_string, price) VALUES
('2021-08-26 10:09:00.01', 10.1),
('2021-08-26 10:09:00.08',  10.0),
('2021-08-26 10:09:00.23',  10.2),
('2021-08-26 10:09:00.40',  10.3);
INSERT INTO new_table SELECT time_string::timestamp as time, price from old_table;

Results:

playground=# \i move_data.sql
CREATE TABLE
CREATE TABLE
┌─────────────────────────┐
│    create_hypertable    │
├─────────────────────────┤
│ (19,public,new_table,t) │
└─────────────────────────┘
(1 row)

INSERT 0 4
INSERT 0 4
playground=# table new_table;
┌────────────────────────┬───────┐
│          time          │ price │
├────────────────────────┼───────┤
│ 2021-08-26 10:09:00.01 │  10.1 │
│ 2021-08-26 10:09:00.08 │  10.0 │
│ 2021-08-26 10:09:00.23 │  10.2 │
│ 2021-08-26 10:09:00.4  │  10.3 │
└────────────────────────┴───────┘
(4 rows)

Can you try to execute your select first and see if the relation matches the table structure?