Skip to main content

TDengine connector for python

Project description

TDengine Connector for Python

TDengine connector for Python enables python programs to access TDengine, using an API which is compliant with the Python DB API 2.0 (PEP-249). It uses TDengine C client library for client server communications.

Install

You can use pip to install the connector from PyPI:

pip install taospy

Or with git url:

pip install git+https://github.com/taosdata/taos-connector-python.git

If you have installed TDengine server or client with prebuilt packages, then you can install the connector from path:

pip install /usr/local/taos/connector/python

Source Code

TDengine connector for Python source code is hosted on GitHub.

Examples

Query with PEP-249 API

import taos

conn = taos.connect()
cursor = conn.cursor()

cursor.execute("show databases")
results = cursor.fetchall()
for row in results:
    print(row)
cursor.close()
conn.close()

Query with objective API

import taos

conn = taos.connect()
conn.exec("create database if not exists pytest")

result = conn.query("show databases")
num_of_fields = result.field_count
for field in result.fields:
    print(field)
for row in result:
    print(row)
result.close()
conn.exec("drop database pytest")
conn.close()

Query with async API

from taos import *
from ctypes import *
import time

def fetch_callback(p_param, p_result, num_of_rows):
    print("fetched ", num_of_rows, "rows")
    p = cast(p_param, POINTER(Counter))
    result = TaosResult(p_result)

    if num_of_rows == 0:
        print("fetching completed")
        p.contents.done = True
        result.close()
        return
    if num_of_rows < 0:
        p.contents.done = True
        result.check_error(num_of_rows)
        result.close()
        return None
    
    for row in result.rows_iter(num_of_rows):
        # print(row)
        None
    p.contents.count += result.row_count
    result.fetch_rows_a(fetch_callback, p_param)
    


def query_callback(p_param, p_result, code):
    # type: (c_void_p, c_void_p, c_int) -> None
    if p_result == None:
        return
    result = TaosResult(p_result)
    if code == 0:
        result.fetch_rows_a(fetch_callback, p_param)
    result.check_error(code)


class Counter(Structure):
    _fields_ = [("count", c_int), ("done", c_bool)]

    def __str__(self):
        return "{ count: %d, done: %s }" % (self.count, self.done)


def test_query(conn):
    # type: (TaosConnection) -> None
    counter = Counter(count=0)
    conn.query_a("select * from log.log", query_callback, byref(counter))

    while not counter.done:
        print("wait query callback")
        time.sleep(1)
    print(counter)
    conn.close()


if __name__ == "__main__":
    test_query(connect())

Statement API - Bind row after row

from taos import *

conn = connect()

dbname = "pytest_taos_stmt"
conn.exec("drop database if exists %s" % dbname)
conn.exec("create database if not exists %s" % dbname)
conn.select_db(dbname)

conn.exec(
    "create table if not exists log(ts timestamp, bo bool, nil tinyint, \
        ti tinyint, si smallint, ii int, bi bigint, tu tinyint unsigned, \
        su smallint unsigned, iu int unsigned, bu bigint unsigned, \
        ff float, dd double, bb binary(100), nn nchar(100), tt timestamp)",
)

stmt = conn.statement("insert into log values(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)")

params = new_bind_params(16)
params[0].timestamp(1626861392589)
params[1].bool(True)
params[2].null()
params[3].tinyint(2)
params[4].smallint(3)
params[5].int(4)
params[6].bigint(5)
params[7].tinyint_unsigned(6)
params[8].smallint_unsigned(7)
params[9].int_unsigned(8)
params[10].bigint_unsigned(9)
params[11].float(10.1)
params[12].double(10.11)
params[13].binary("hello")
params[14].nchar("stmt")
params[15].timestamp(1626861392589)
stmt.bind_param(params)

params[0].timestamp(1626861392590)
params[15].null()
stmt.bind_param(params)
stmt.execute()


result = stmt.use_result()
assert result.affected_rows == 2
result.close()

result = conn.query("select * from log")

for row in result:
    print(row)
result.close()
stmt.close()
conn.close()

Statement API - Bind multi rows

from taos import *

conn = connect()

dbname = "pytest_taos_stmt"
conn.exec("drop database if exists %s" % dbname)
conn.exec("create database if not exists %s" % dbname)
conn.select_db(dbname)

conn.exec(
    "create table if not exists log(ts timestamp, bo bool, nil tinyint, \
        ti tinyint, si smallint, ii int, bi bigint, tu tinyint unsigned, \
        su smallint unsigned, iu int unsigned, bu bigint unsigned, \
        ff float, dd double, bb binary(100), nn nchar(100), tt timestamp)",
)

stmt = conn.statement("insert into log values(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)")

params = new_multi_binds(16)
params[0].timestamp((1626861392589, 1626861392590, 1626861392591))
params[1].bool((True, None, False))
params[2].tinyint([-128, -128, None]) # -128 is tinyint null
params[3].tinyint([0, 127, None])
params[4].smallint([3, None, 2])
params[5].int([3, 4, None])
params[6].bigint([3, 4, None])
params[7].tinyint_unsigned([3, 4, None])
params[8].smallint_unsigned([3, 4, None])
params[9].int_unsigned([3, 4, None])
params[10].bigint_unsigned([3, 4, None])
params[11].float([3, None, 1])
params[12].double([3, None, 1.2])
params[13].binary(["abc", "dddafadfadfadfadfa", None])
params[14].nchar(["涛思数据", None, "a long string with 中文字符"])
params[15].timestamp([None, None, 1626861392591])
stmt.bind_param_batch(params)
stmt.execute()


result = stmt.use_result()
assert result.affected_rows == 3
result.close()

result = conn.query("select * from log")
for row in result:
    print(row)
result.close()
stmt.close()
conn.close()

Statement API - Subscribe

import taos

conn = taos.connect()
dbname = "pytest_taos_subscribe_callback"
conn.exec("drop database if exists %s" % dbname)
conn.exec("create database if not exists %s" % dbname)
conn.select_db(dbname)
conn.exec("create table if not exists log(ts timestamp, n int)")
for i in range(10):
    conn.exec("insert into log values(now, %d)" % i)

sub = conn.subscribe(True, "test", "select * from log", 1000)
print("# consume from begin")
for ts, n in sub.consume():
    print(ts, n)

print("# consume new data")
for i in range(5):
    conn.exec("insert into log values(now, %d)(now+1s, %d)" % (i, i))
    result = sub.consume()
    for ts, n in result:
        print(ts, n)

print("# consume with a stop condition")
for i in range(10):
    conn.exec("insert into log values(now, %d)" % int(random() * 10))
    result = sub.consume()
    try:
        ts, n = next(result)
        print(ts, n)
        if n > 5:
            result.stop_query()
            print("## stopped")
            break
    except StopIteration:
        continue

sub.close()

conn.exec("drop database if exists %s" % dbname)
conn.close()

Statement API - Subscribe asynchronously with callback

from taos import *
from ctypes import *

import time


def subscribe_callback(p_sub, p_result, p_param, errno):
    # type: (c_void_p, c_void_p, c_void_p, c_int) -> None
    print("# fetch in callback")
    result = TaosResult(p_result)
    result.check_error(errno)
    for row in result.rows_iter():
        ts, n = row()
        print(ts, n)


def test_subscribe_callback(conn):
    # type: (TaosConnection) -> None
    dbname = "pytest_taos_subscribe_callback"
    try:
        conn.exec("drop database if exists %s" % dbname)
        conn.exec("create database if not exists %s" % dbname)
        conn.select_db(dbname)
        conn.exec("create table if not exists log(ts timestamp, n int)")

        print("# subscribe with callback")
        sub = conn.subscribe(False, "test", "select * from log", 1000, subscribe_callback)

        for i in range(10):
            conn.exec("insert into log values(now, %d)" % i)
            time.sleep(0.7)
        sub.close()

        conn.exec("drop database if exists %s" % dbname)
        conn.close()
    except Exception as err:
        conn.exec("drop database if exists %s" % dbname)
        conn.close()
        raise err


if __name__ == "__main__":
    test_subscribe_callback(connect())

Statement API - Stream

from taos import *
from ctypes import *

def stream_callback(p_param, p_result, p_row):
    # type: (c_void_p, c_void_p, c_void_p) -> None

    if p_result == None or p_row == None:
        return
    result = TaosResult(p_result)
    row = TaosRow(result, p_row)
    try:
        ts, count = row()
        p = cast(p_param, POINTER(Counter))
        p.contents.count += count
        print("[%s] inserted %d in 5s, total count: %d" % (ts.strftime("%Y-%m-%d %H:%M:%S"), count, p.contents.count))

    except Exception as err:
        print(err)
        raise err


class Counter(ctypes.Structure):
    _fields_ = [
        ("count", c_int),
    ]

    def __str__(self):
        return "%d" % self.count


def test_stream(conn):
    # type: (TaosConnection) -> None
    dbname = "pytest_taos_stream"
    try:
        conn.exec("drop database if exists %s" % dbname)
        conn.exec("create database if not exists %s" % dbname)
        conn.select_db(dbname)
        conn.exec("create table if not exists log(ts timestamp, n int)")

        result = conn.query("select count(*) from log interval(5s)")
        assert result.field_count == 2
        counter = Counter()
        counter.count = 0
        stream = conn.stream("select count(*) from log interval(5s)", stream_callback, param=byref(counter))

        for _ in range(0, 20):
            conn.exec("insert into log values(now,0)(now+1s, 1)(now + 2s, 2)")
            time.sleep(2)
        stream.close()
        conn.exec("drop database if exists %s" % dbname)
        conn.close()
    except Exception as err:
        conn.exec("drop database if exists %s" % dbname)
        conn.close()
        raise err


if __name__ == "__main__":
    test_stream(connect())

Insert with line protocol

import taos

conn = taos.connect()
dbname = "pytest_line"
conn.exec("drop database if exists %s" % dbname)
conn.exec("create database if not exists %s precision 'us'" % dbname)
conn.select_db(dbname)

lines = [
    'st,t1=3i64,t2=4f64,t3="t3" c1=3i64,c3=L"pass",c2=false,c4=4f64 1626006833639000000ns',
    'st,t1=4i64,t3="t4",t2=5f64,t4=5f64 c1=3i64,c3=L"pass it again",c2=true,c4=5f64,c5=5f64,c6=7u64 1626006933640000000',
    'stf,t1=4i64,t3="t4",t2=5f64,t4=5f64 c1=3i64,c3=L"pass it again_stf",c2=false,c5=5f64,c6=7u64 1626006933641000000',
]
conn.schemaless_insert(lines, 0, "ns")
print("inserted")

lines = [
    'stf,t1=5i64,t3="t4",t2=5f64,t4=5f64 c1=3i64,c3=L"pass it again_stf",c2=false,c5=5f64,c6=7u64 1626006933641000000',
]
conn.schemaless_insert(lines, 0, "ns")

result = conn.query("show tables")
for row in result:
    print(row)
result.close()


conn.exec("drop database if exists %s" % dbname)
conn.close()

License - AGPL-3.0

Keep same with TDengine.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

taospy-2.1.2.tar.gz (23.7 kB view details)

Uploaded Source

Built Distribution

taospy-2.1.2-py2.py3-none-any.whl (27.5 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file taospy-2.1.2.tar.gz.

File metadata

  • Download URL: taospy-2.1.2.tar.gz
  • Upload date:
  • Size: 23.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.8.10 Linux/5.11.0-1020-azure

File hashes

Hashes for taospy-2.1.2.tar.gz
Algorithm Hash digest
SHA256 692978ae4731133d6fcab70fe0b81e02cb7ab94454b788bb1fb1e61b29940730
MD5 619be01989fa0227bd978944ec0938cc
BLAKE2b-256 7348fae3be24cb90499a15e763504a970549e7e075fe0628a739a5c836159be2

See more details on using hashes here.

File details

Details for the file taospy-2.1.2-py2.py3-none-any.whl.

File metadata

  • Download URL: taospy-2.1.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 27.5 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.6 CPython/3.8.10 Linux/5.11.0-1020-azure

File hashes

Hashes for taospy-2.1.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 6835f9d8e0d0dfdd65f47c57471e741eed8cb0d5fe374ef90dae758734000466
MD5 66259218140b1334082d3ad67bcb6676
BLAKE2b-256 e40307567006d1a6e3e71715cb303cdd102ae659747abdf2924a83a41403f923

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page