Query data with Pulsar SQL
在 Pulsar 中查询数据之前,你需要安装 Pulsar 和内置连接器。
要求
在 Pulsar 中查询数据
要使用 Pulsar SQL 查询数据,请完成以下步骤。
- 启动 Pulsar 独立集群。
./bin/pulsar standalone
- 启动 Pulsar SQL worker。
./bin/pulsar sql-worker run
- 初始化 Pulsar 独立集群和 SQL worker,运行 SQL CLI 。
./bin/pulsar sql
- 使用 SQL 命令测试。
presto> show catalogs;
Catalog
---------
pulsar
system
(2 rows)
Query 20180829_211752_00004_7qpwh, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:00 [0 rows, 0B] [0 rows/s, 0B/s]
presto> show schemas in pulsar;
Schema
-----------------------
information_schema
public/default
public/functions
sample/standalone/ns1
(4 rows)
Query 20180829_211818_00005_7qpwh, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:00 [4 rows, 89B] [21 rows/s, 471B/s]
presto> show tables in pulsar."public/default";
Table
-------
(0 rows)
Query 20180829_211839_00006_7qpwh, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:00 [0 rows, 0B] [0 rows/s, 0B/s]
由于 Pulsar 中没有数据,因此没有返回记录。
- Start the built-in connector DataGeneratorSource and ingest some mock data.
./bin/pulsar-admin sources create --name generator --destinationTopicName generator_test --source-type data-generator
然后可以在命名空间“public/default”中查询一个主题。
presto> show tables in pulsar."public/default";
Table
----------------
generator_test
(1 row)
Query 20180829_213202_00000_csyeu, FINISHED, 1 node
Splits: 19 total, 19 done (100.00%)
0:02 [1 rows, 38B] [0 rows/s, 17B/s]
现在可以查询主题“generator_test”中的数据:
presto> select * from pulsar."public/default".generator_test;
firstname | middlename | lastname | email | username | password | telephonenumber | age | companyemail | nationalidentitycardnumber |
-------------+-------------+-------------+----------------------------------+--------------+----------+-----------------+-----+-----------------------------------------------+----------------------------+
Genesis | Katherine | Wiley | genesis.wiley@gmail.com | genesisw | y9D2dtU3 | 959-197-1860 | 71 | genesis.wiley@interdemconsulting.eu | 880-58-9247 |
Brayden | | Stanton | brayden.stanton@yahoo.com | braydens | ZnjmhXik | 220-027-867 | 81 | brayden.stanton@supermemo.eu | 604-60-7069 |
Benjamin | Julian | Velasquez | benjamin.velasquez@yahoo.com | benjaminv | 8Bc7m3eb | 298-377-0062 | 21 | benjamin.velasquez@hostesltd.biz | 213-32-5882 |
Michael | Thomas | Donovan | donovan@mail.com | michaeld | OqBm9MLs | 078-134-4685 | 55 | michael.donovan@memortech.eu | 443-30-3442 |
Brooklyn | Avery | Roach | brooklynroach@yahoo.com | broach | IxtBLafO | 387-786-2998 | 68 | brooklyn.roach@warst.biz | 085-88-3973 |
Skylar | | Bradshaw | skylarbradshaw@yahoo.com | skylarb | p6eC6cKy | 210-872-608 | 96 | skylar.bradshaw@flyhigh.eu | 453-46-0334 |
.
.
.
可以查询模拟数据。
查询自己的数据
If you want to query your own data, you need to ingest your own data first. You can write a simple producer and write custom defined data to Pulsar. The following is an example.
public class Test {
public static class Foo {
private int field1 = 1;
private String field2;
private long field3;
}
public static void main(String[] args) throws Exception {
PulsarClient pulsarClient = PulsarClient.builder().serviceUrl("pulsar://localhost:6650").build();
Producer<Foo> producer = pulsarClient.newProducer(AvroSchema.of(Foo.class)).topic("test_topic").create();
for (int i = 0; i < 1000; i++) {
Foo foo = new Foo();
foo.setField1(i);
foo.setField2("foo" + i);
foo.setField3(System.currentTimeMillis());
producer.newMessage().value(foo).send();
}
producer.close();
pulsarClient.close();
}
}