From d7b16ebfa5286b19702debd94f68eba57c04dab1 Mon Sep 17 00:00:00 2001 From: xxros Date: Thu, 31 Mar 2016 00:47:30 +0800 Subject: [PATCH] improve performance about 5 times when importing --- README.md | 12 +++- README.rst | 24 +++++-- jsonpyes.egg-info/PKG-INFO | 28 +++++--- jsonpyes.py | 125 +++++++++++++++++++++++++---------- jsonpyes_contrib/__init__.py | 2 +- static/snapshot235.png | Bin 0 -> 52306 bytes static/snapshot236.png | Bin 0 -> 61834 bytes static/snapshot237.png | Bin 0 -> 34449 bytes 8 files changed, 137 insertions(+), 54 deletions(-) create mode 100644 static/snapshot235.png create mode 100644 static/snapshot236.png create mode 100644 static/snapshot237.png diff --git a/README.md b/README.md index 560e446..72a3974 100644 --- a/README.md +++ b/README.md @@ -24,7 +24,7 @@ Alexander Liu jsonpyes -------- -* ![user interface](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot139.png) +* ![user interface](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot236.png) #### Instructions: There are 3 proccesses of importing raw JSON data to ElasticSearch @@ -51,11 +51,17 @@ jsonpyes * ```jsonpyes``` supports multi-threads when importing data to elasticsearch ![muti-threads enabled](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot132.png) -> As you can see these two containers have same docs loaded, if we use **_--thread 8_** it could be slightly faster. +> As you can see these two containers have same docs loaded, if we use **_--thread 8_** it could be several times faster, usually 5 to 10 times faster. That really depends on your computer/server resources. This was tested on a 4GB RAM / 2.4Ghz intel i5 Linux x64 laptop system. -* ![benmarks](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot133.png) +* No multi-threads + + ![benchmarks](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot237.png) + +* With 8 threads and `jsonpyes` cuts files into pieces, then destributes to a worker fairly + + ![use helpers.bulk API with multi-threads](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot235.png) * And it works. ![it works](https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot105.jpg) diff --git a/README.rst b/README.rst index 4dd6012..f5eeafe 100644 --- a/README.rst +++ b/README.rst @@ -59,14 +59,24 @@ Instructions: elasticsearch |muti-threads enabled| As you can see these two containers have same docs loaded, if we use - ***--thread 8*** it could be slightly faster. That really depends on - your computer/server resources. This was tested on a 4GB RAM / - 2.4Ghz intel i5 Linux x64 laptop system. + ***--thread 8*** it could be several times faster, usually 5 to 10 + times faster. That really depends on your computer/server resources. + This was tested on a 4GB RAM / 2.4Ghz intel i5 Linux x64 laptop + system. -- .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot133.png - :alt: benmarks +- No multi-threads - benmarks + .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot237.png + :alt: benchmarks + + benchmarks +- With 8 threads and ``jsonpyes`` cuts files into pieces, then + destributes to a worker fairly + + .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot235.png + :alt: use helpers.bulk API with multi-threads + + use helpers.bulk API with multi-threads - And it works. |it works| 3. Both validating and importing @@ -89,7 +99,7 @@ Happy hacking! .. |GitHub license| image:: https://img.shields.io/github/license/xros/jsonpyes.svg :target: https://github.com/xros/jsonpyes/blob/master/LICENSE .. |before image| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot106.jpg -.. |user interface| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot139.png +.. |user interface| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot236.png .. |json valid| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot98.jpg .. |json invalid| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot99.jpg .. |no threads| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot102.jpg diff --git a/jsonpyes.egg-info/PKG-INFO b/jsonpyes.egg-info/PKG-INFO index 7e94d45..705e8a1 100644 --- a/jsonpyes.egg-info/PKG-INFO +++ b/jsonpyes.egg-info/PKG-INFO @@ -1,12 +1,12 @@ Metadata-Version: 1.1 Name: jsonpyes -Version: 1.2.22 +Version: 1.2.23 Summary: Import JSON raw data to ElasticSearch using Python in one line of commands Home-page: https://github.com/xros/jsonpyes Author: Alexander Liu Author-email: PGP E6DE7BEA License: GPL V3 -Download-URL: https://github.com/xros/jsonpyes/tarball/1.2.22 +Download-URL: https://github.com/xros/jsonpyes/tarball/1.2.23 Description: json-py-es ========== @@ -68,14 +68,24 @@ Description: json-py-es elasticsearch |muti-threads enabled| As you can see these two containers have same docs loaded, if we use - ***--thread 8*** it could be slightly faster. That really depends on - your computer/server resources. This was tested on a 4GB RAM / - 2.4Ghz intel i5 Linux x64 laptop system. + ***--thread 8*** it could be several times faster, usually 5 to 10 + times faster. That really depends on your computer/server resources. + This was tested on a 4GB RAM / 2.4Ghz intel i5 Linux x64 laptop + system. - - .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot133.png - :alt: benmarks + - No multi-threads - benmarks + .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot237.png + :alt: benchmarks + + benchmarks + - With 8 threads and ``jsonpyes`` cuts files into pieces, then + destributes to a worker fairly + + .. figure:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot235.png + :alt: use helpers.bulk API with multi-threads + + use helpers.bulk API with multi-threads - And it works. |it works| 3. Both validating and importing @@ -98,7 +108,7 @@ Description: json-py-es .. |GitHub license| image:: https://img.shields.io/github/license/xros/jsonpyes.svg :target: https://github.com/xros/jsonpyes/blob/master/LICENSE .. |before image| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot106.jpg - .. |user interface| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot139.png + .. |user interface| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot236.png .. |json valid| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot98.jpg .. |json invalid| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot99.jpg .. |no threads| image:: https://raw.githubusercontent.com/xros/jsonpyes/master/static/snapshot102.jpg diff --git a/jsonpyes.py b/jsonpyes.py index cf7149d..bedd415 100755 --- a/jsonpyes.py +++ b/jsonpyes.py @@ -1,4 +1,6 @@ #!/usr/bin/env python2 +# encoding: utf-8 + from elasticsearch import Elasticsearch from elasticsearch import helpers import sys @@ -7,6 +9,8 @@ import linecache import jsonpyes_contrib from jsonpyes_contrib.utils import count_file_lines as c_file_lines +import logging +import time try: import simplejson as json @@ -27,6 +31,8 @@ 3. After validating successfully, then import data to ElasticSearch """ +es = Elasticsearch(['http://localhost:9200'], verify_certs=True) + def show_version(): print(version) @@ -39,7 +45,7 @@ def show_help(): / /_/ /___/ / /_/ / /| /_____/ ____/ / /_____/ /___ ___/ / \____//____/\____/_/ |_/ /_/ /_/ /_____//____/ - Import JSON to ElasticSearch using Python + Import raw JSON to ElasticSearch in one line of commands -- Alexander Liu """ @@ -63,6 +69,10 @@ def show_help(): --version : Prints the version number --help : Display this help + Notice: + + It's recommended that you use multi-threads when importing data. Because it's way faster. + Examples: @@ -82,11 +92,9 @@ def show_help(): """) - - def validate_json_data(json_file=""): """ - To validate whether the JSON data file is fully a JSON file without any format validation + To validate whether the JSON data file is fully a JSON file without any format invalidation """ if str(json_file)=="": raise ValueError("No JSON file was input\n") @@ -111,6 +119,65 @@ def validate_json_data(json_file=""): return True +def worker_import_to_es_for_threading(data='a_raw_file.json', start_line=0, stop_line=0, es=es, index="", doc_type=""): + # NOTICE: the 'start_line' and 'stop_line' are all included. 'stop_line' can not be omitted. + actions = [] + try_times = 0 + es = es + # Using linecache to read big data in RAM + for i in range(start_line, stop_line + 1): + # Enhancement: This version of jsonpyes use `elastisearch.helpers.bulk`. Thanks to suggestion from piterjoin + row = linecache.getline(data, i) + try: + action = { + "_index": index, + "_type": doc_type, + "_source": json.loads(row) + } + except Exception, e: + logging.warning(str(e)) + continue + + actions.append(action) + + # https://elasticsearch-py.readthedocs.org/en/master/helpers.html?highlight=helpers#module-elasticsearch.helpers + # In some cases, the size of 1000 docs can be at around 10 MB. And they are stored in RAM + + if len(actions) >= 5000: + # try serveral times if ES rejects, is busy or down + while try_times < 5: + try: + # single chunk_bytes max upto 200 MB assumption + helpers.bulk(es, actions) + try_times = 0 + break + except Exception, e: + try_times = try_times + 1 + logging.warning("Can not send a group of actions(docs) to ElasticSearch using parallel_bulk, with error: " + str(e)) + # wait for the ElasticSearch to response + time.sleep(5) + if try_times >= 5: + msg = "After trying " + str(try_times) + \ + " times. It still can not send a group of actions(docs) to ElasticSearch using parallel_bulk, with error: " + str(e) + logging.error(msg) + try_times = 0 + + # delete previous docs + del actions[0:len(actions)] + + # if we have leftovers, finish them + if len(actions) > 0: + try: + helpers.bulk(es, actions) + except Exception, e: + logging.warning("Can not send a group of actions(docs) to ElasticSearch using parallel_bulk, with error: " + str(e)) + # delete previous docs + del actions[0:len(actions)] + + # terminate this job + return + + class StoppableThread(threading.Thread): """Thread class with a stop() method. The thread itself has to check regularly for the stopped() condition.""" @@ -397,23 +464,14 @@ def run(): - def worker_import_to_es_for_threading(data=data, start_line=0, stop_line=0): - # NOTICE: the 'start_line' and 'stop_line' are all included. 'stop_line' can not be omitted. - es = Elasticsearch([bulk], verify_certs=True) - # Using linecache to read big data in RAM - for i in range(start_line, stop_line + 1): - es.index( - index=index, doc_type=doc_type, - #id=2, - body=json.loads(linecache.getline(data, i)) - ) - threads = [] for i in start_stop_line_list: #t = StoppableThread(target=worker_import_to_es_for_threading, args=(data, i['start'], i['stop'])) - t = threading.Thread(target=worker_import_to_es_for_threading, args=(data, i['start'], i['stop'])) + t = threading.Thread(target=worker_import_to_es_for_threading, + args=(data, i['start'], i['stop'], Elasticsearch([bulk], verify_certs=True), index, doc_type, ) + ) threads.append(t) t.start() t.join() @@ -421,12 +479,15 @@ def worker_import_to_es_for_threading(data=data, start_line=0, stop_line=0): # stop all threads if interrupts try: - while len(threading.enumerate()): + while len(threading.enumerate()) > 1: pass + print("Successfully data imported!") + return except KeyboardInterrupt: - for i in threads: - i.stop() + # for i in threads: + # i.stop() print("Data importing interrupted!") + exit(0) return print("Successfully data imported!") @@ -514,23 +575,14 @@ def worker_import_to_es_for_threading(data=data, start_line=0, stop_line=0): - def worker_import_to_es_for_threading(data=data, start_line=0, stop_line=0): - # NOTICE: the 'start_line' and 'stop_line' are all included. 'stop_line' can not be omitted. - es = Elasticsearch([bulk], verify_certs=True) - # Using linecache to read big data in RAM - for i in range(start_line, stop_line + 1): - es.index( - index=index, doc_type=doc_type, - #id=2, - body=json.loads(linecache.getline(data, i)) - ) - threads = [] for i in start_stop_line_list: #t = StoppableThread(target=worker_import_to_es_for_threading, args=(data, i['start'], i['stop'])) - t = threading.Thread(target=worker_import_to_es_for_threading, args=(data, i['start'], i['stop'])) + t = threading.Thread(target=worker_import_to_es_for_threading, + args=(data, i['start'], i['stop'], Elasticsearch([bulk], verify_certs=True), index, doc_type, ) + ) threads.append(t) t.start() t.join() @@ -538,12 +590,17 @@ def worker_import_to_es_for_threading(data=data, start_line=0, stop_line=0): # stop all threads if interrupts try: - while len(threading.enumerate()): + # there is at least one main threading for all threadings + while len(threading.enumerate()) > 1: pass + print("Successfully data imported!") + return except KeyboardInterrupt: - for i in threads: - i.stop() + print(len(threading.enumerate())) + # for i in threads: + # i.stop() print("Data importing interrupted!") + exit(0) return print("Successfully data imported!") diff --git a/jsonpyes_contrib/__init__.py b/jsonpyes_contrib/__init__.py index 01f058e..2f3a67d 100644 --- a/jsonpyes_contrib/__init__.py +++ b/jsonpyes_contrib/__init__.py @@ -1,4 +1,4 @@ """ """ # version number like 1.2.3a0 or 1.2.3, must have at least 2 parts, like 1.2 -__version__ = '1.2.22' +__version__ = '1.2.23' diff --git a/static/snapshot235.png b/static/snapshot235.png new file mode 100644 index 0000000000000000000000000000000000000000..d4b341fb3b006916a9b8d2801274bf88bf7a1203 GIT binary patch literal 52306 zcmaI81z1+?)-}2akrI%Qk`R>K1kVcU1?vfG_kZvgfr9qG`NeSsj5E1E= zjx+Jy`<2>ML~LAis8 z3g6LfVc>*6(Coz@s$gPbPR=RJ!vA8~$Y|Ij2;P^A|4?FB@hIV&HyotY9VCtHpWB(* 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