{"id":476592,"date":"2023-08-09T07:31:20","date_gmt":"2023-08-09T07:31:20","guid":{"rendered":""},"modified":"2023-09-05T11:13:02","modified_gmt":"2023-09-05T11:13:02","slug":"dask","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/dask\/","title":{"rendered":"Dask"},"content":{"rendered":"<p>Dask l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n m\u00e3 ngu\u1ed3n m\u1edf m\u1ea1nh m\u1ebd, linh ho\u1ea1t \u0111\u1ec3 t\u00ednh to\u00e1n song song b\u1eb1ng Python. \u0110\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 t\u1eeb m\u1ed9t m\u00e1y t\u00ednh \u0111\u1ebfn m\u1ed9t c\u1ee5m m\u00e1y ch\u1ee7, Dask cung c\u1ea5p t\u00ednh n\u0103ng song song n\u00e2ng cao cho ph\u00e2n t\u00edch, cho ph\u00e9p ng\u01b0\u1eddi d\u00f9ng th\u1ef1c hi\u1ec7n c\u00e1c ph\u00e9p t\u00ednh l\u1edbn tr\u00ean nhi\u1ec1u l\u00f5i. Dask l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn ph\u1ed5 bi\u1ebfn \u0111\u1ec3 x\u1eed l\u00fd d\u1eef li\u1ec7u l\u1edbn, cung c\u1ea5p gi\u1ea3i ph\u00e1p thay th\u1ebf cho Apache Spark cho c\u00e1c t\u00e1c v\u1ee5 t\u00ednh to\u00e1n song song y\u00eau c\u1ea7u Python.<\/p>\n<h2>L\u1ecbch s\u1eed c\u1ee7a Dask<\/h2>\n<p>D\u1ef1 \u00e1n b\u1eaft \u0111\u1ea7u nh\u01b0 m\u1ed9t s\u00e1ng ki\u1ebfn ngu\u1ed3n m\u1edf v\u00e0 \u0111\u01b0\u1ee3c c\u00f4ng b\u1ed1 l\u1ea7n \u0111\u1ea7u ti\u00ean v\u00e0o n\u0103m 2014 b\u1edfi ng\u01b0\u1eddi t\u1ea1o ra n\u00f3, Matthew Rocklin. Rocklin, m\u1ed9t nh\u00e0 ph\u00e1t tri\u1ec3n l\u00e0m vi\u1ec7c v\u1edbi Anaconda Inc. v\u00e0o th\u1eddi \u0111i\u1ec3m \u0111\u00f3, \u0111\u00e3 t\u00ecm c\u00e1ch gi\u1ea3i quy\u1ebft c\u00e1c h\u1ea1n ch\u1ebf t\u00ednh to\u00e1n c\u1ee7a vi\u1ec7c x\u1eed l\u00fd trong b\u1ed9 nh\u1edb b\u1eb1ng Python, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong c\u00e1c th\u01b0 vi\u1ec7n ph\u1ed5 bi\u1ebfn nh\u01b0 NumPy v\u00e0 Pandas. Nh\u1eefng c\u00f4ng c\u1ee5 n\u00e0y g\u1eb7p kh\u00f3 kh\u0103n trong vi\u1ec7c ho\u1ea1t \u0111\u1ed9ng hi\u1ec7u qu\u1ea3 v\u1edbi c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn h\u01a1n b\u1ed9 nh\u1edb, m\u1ed9t h\u1ea1n ch\u1ebf m\u00e0 Dask \u0111\u00e3 t\u00ecm c\u00e1ch kh\u1eafc ph\u1ee5c.<\/p>\n<h2>Hi\u1ec3u Dask<\/h2>\n<p>Dask h\u1ed7 tr\u1ee3 c\u00e1c t\u00ednh to\u00e1n song song v\u00e0 l\u1edbn h\u01a1n b\u1ed9 nh\u1edb b\u1eb1ng c\u00e1ch chia ch\u00fang th\u00e0nh c\u00e1c t\u00e1c v\u1ee5 nh\u1ecf h\u01a1n, th\u1ef1c hi\u1ec7n c\u00e1c t\u00e1c v\u1ee5 n\u00e0y theo c\u00e1ch song song v\u00e0 qu\u1ea3n l\u00fd t\u00e0i nguy\u00ean b\u1ed9 nh\u1edb \u0111\u00fang c\u00e1ch. Dask s\u1eed d\u1ee5ng m\u1ed9t chi\u1ebfn l\u01b0\u1ee3c \u0111\u01a1n gi\u1ea3n \u0111\u1ec3 th\u1ef1c hi\u1ec7n vi\u1ec7c n\u00e0y: n\u00f3 t\u1ea1o ra m\u1ed9t bi\u1ec3u \u0111\u1ed3 l\u1eadp k\u1ebf ho\u1ea1ch nhi\u1ec7m v\u1ee5, m\u1ed9t bi\u1ec3u \u0111\u1ed3 tu\u1ea7n ho\u00e0n c\u00f3 h\u01b0\u1edbng (DAG) m\u00f4 t\u1ea3 tr\u00ecnh t\u1ef1 t\u00ednh to\u00e1n s\u1ebd \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n.<\/p>\n<p>V\u1ec1 c\u1ed1t l\u00f5i, Dask \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng xung quanh hai th\u00e0nh ph\u1ea7n:<\/p>\n<ol>\n<li>\n<p>L\u1eadp l\u1ecbch t\u00e1c v\u1ee5 \u0111\u1ed9ng: \u0110i\u1ec1u n\u00e0y \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho t\u00ednh to\u00e1n v\u00e0 c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c c\u1ea5u tr\u00fac d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<\/li>\n<li>\n<p>B\u1ed9 s\u01b0u t\u1eadp \u201cD\u1eef li\u1ec7u l\u1edbn\u201d: Nh\u1eefng khung d\u1eef li\u1ec7u b\u1eaft ch\u01b0\u1edbc m\u1ea3ng, danh s\u00e1ch v\u00e0 g\u1ea5u tr\u00fac nh\u01b0ng c\u00f3 th\u1ec3 ho\u1ea1t \u0111\u1ed9ng song song tr\u00ean c\u00e1c t\u1eadp d\u1eef li\u1ec7u kh\u00f4ng v\u1eeba v\u1edbi b\u1ed9 nh\u1edb b\u1eb1ng c\u00e1ch chia ch\u00fang th\u00e0nh c\u00e1c ph\u1ea7n nh\u1ecf h\u01a1n, c\u00f3 th\u1ec3 qu\u1ea3n l\u00fd \u0111\u01b0\u1ee3c.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Dask<\/h2>\n<p>Dask s\u1eed d\u1ee5ng b\u1ed9 l\u1eadp l\u1ecbch ph\u00e2n t\u00e1n \u0111\u1ec3 th\u1ef1c thi song song c\u00e1c bi\u1ec3u \u0111\u1ed3 t\u00e1c v\u1ee5. B\u1ed9 l\u1eadp l\u1ecbch n\u00e0y \u0111i\u1ec1u ph\u1ed1i vi\u1ec7c th\u1ef1c hi\u1ec7n c\u00e1c t\u00e1c v\u1ee5 v\u00e0 x\u1eed l\u00fd giao ti\u1ebfp gi\u1eefa c\u00e1c n\u00fat c\u00f4ng nh\u00e2n trong m\u1ed9t c\u1ee5m. B\u1ed9 l\u1eadp l\u1ecbch v\u00e0 nh\u00e2n vi\u00ean giao ti\u1ebfp th\u00f4ng qua m\u1ed9t &#039;b\u1ed9 l\u1eadp l\u1ecbch ph\u00e2n ph\u1ed1i&#039; trung t\u00e2m, \u0111\u01b0\u1ee3c tri\u1ec3n khai d\u01b0\u1edbi d\u1ea1ng m\u1ed9t quy tr\u00ecnh Python ri\u00eang bi\u1ec7t.<\/p>\n<p>Khi m\u1ed9t ph\u00e9p t\u00ednh \u0111\u01b0\u1ee3c g\u1eedi, tr\u01b0\u1edbc ti\u00ean Dask s\u1ebd x\u00e2y d\u1ef1ng m\u1ed9t bi\u1ec3u \u0111\u1ed3 nhi\u1ec7m v\u1ee5 bi\u1ec3u th\u1ecb ph\u00e9p t\u00ednh \u0111\u00f3. M\u1ed7i n\u00fat trong bi\u1ec3u \u0111\u1ed3 \u0111\u1ea1i di\u1ec7n cho m\u1ed9t h\u00e0m Python, trong khi m\u1ed7i c\u1ea1nh \u0111\u1ea1i di\u1ec7n cho d\u1eef li\u1ec7u (th\u01b0\u1eddng l\u00e0 \u0111\u1ed1i t\u01b0\u1ee3ng Python) \u0111\u01b0\u1ee3c truy\u1ec1n gi\u1eefa c\u00e1c h\u00e0m.<\/p>\n<p>Sau \u0111\u00f3, b\u1ed9 l\u1eadp l\u1ecbch ph\u00e2n ph\u1ed1i Dask s\u1ebd chia bi\u1ec3u \u0111\u1ed3 th\u00e0nh c\u00e1c ph\u1ea7n nh\u1ecf h\u01a1n, d\u1ec5 qu\u1ea3n l\u00fd h\u01a1n v\u00e0 g\u00e1n c\u00e1c ph\u1ea7n n\u00e0y cho c\u00e1c n\u00fat c\u00f4ng nh\u00e2n trong c\u1ee5m. M\u1ed7i n\u00fat c\u00f4ng nh\u00e2n th\u1ef1c hi\u1ec7n c\u00e1c nhi\u1ec7m v\u1ee5 \u0111\u01b0\u1ee3c giao v\u00e0 b\u00e1o c\u00e1o k\u1ebft qu\u1ea3 l\u1ea1i cho b\u1ed9 l\u1eadp l\u1ecbch. B\u1ed9 l\u1eadp l\u1ecbch theo d\u00f5i ph\u1ea7n n\u00e0o c\u1ee7a bi\u1ec3u \u0111\u1ed3 \u0111\u00e3 \u0111\u01b0\u1ee3c ho\u00e0n th\u00e0nh v\u00e0 ph\u1ea7n n\u00e0o v\u1eabn \u0111ang ch\u1edd x\u1eed l\u00fd, \u0111i\u1ec1u ch\u1ec9nh c\u00e1c quy\u1ebft \u0111\u1ecbnh l\u1eadp l\u1ecbch d\u1ef1a tr\u00ean tr\u1ea1ng th\u00e1i t\u00ednh to\u00e1n v\u00e0 c\u00e1c t\u00e0i nguy\u00ean c\u00f3 s\u1eb5n trong c\u1ee5m.<\/p>\n<h2>C\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a Dask<\/h2>\n<ul>\n<li>\n<p><strong>S\u1ef1 song song<\/strong>: Dask c\u00f3 th\u1ec3 th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng song song, khai th\u00e1c s\u1ee9c m\u1ea1nh c\u1ee7a b\u1ed9 x\u1eed l\u00fd \u0111a l\u00f5i hi\u1ec7n \u0111\u1ea1i v\u00e0 m\u00f4i tr\u01b0\u1eddng ph\u00e2n t\u00e1n.<\/p>\n<\/li>\n<li>\n<p><strong>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/strong>: N\u00f3 c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng quy m\u00f4 t\u1eeb c\u00e1c ph\u00e9p t\u00ednh \u0111\u01a1n l\u1ebb \u0111\u1ebfn t\u00ednh to\u00e1n d\u1ef1a tr\u00ean c\u1ee5m m\u1ed9t c\u00e1ch li\u1ec1n m\u1ea1ch.<\/p>\n<\/li>\n<li>\n<p><strong>H\u1ed9i nh\u1eadp<\/strong>: Dask t\u00edch h\u1ee3p t\u1ed1t v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n Python hi\u1ec7n c\u00f3 nh\u01b0 Pandas, NumPy v\u00e0 Scikit-Learn.<\/p>\n<\/li>\n<li>\n<p><strong>Uy\u1ec3n chuy\u1ec3n<\/strong>: N\u00f3 c\u00f3 th\u1ec3 x\u1eed l\u00fd nhi\u1ec1u nhi\u1ec7m v\u1ee5, t\u1eeb ph\u00e2n t\u00edch d\u1eef li\u1ec7u v\u00e0 chuy\u1ec3n \u0111\u1ed5i d\u1eef li\u1ec7u \u0111\u1ebfn h\u1ecdc m\u00e1y.<\/p>\n<\/li>\n<li>\n<p><strong>X\u1eed l\u00fd t\u1eadp d\u1eef li\u1ec7u l\u1edbn h\u01a1n b\u1ed9 nh\u1edb<\/strong>: B\u1eb1ng c\u00e1ch chia nh\u1ecf d\u1eef li\u1ec7u th\u00e0nh c\u00e1c ph\u1ea7n nh\u1ecf h\u01a1n, Dask c\u00f3 th\u1ec3 x\u1eed l\u00fd c\u00e1c t\u1eadp d\u1eef li\u1ec7u kh\u00f4ng v\u1eeba v\u1edbi b\u1ed9 nh\u1edb.<\/p>\n<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i Dask<\/h2>\n<p>M\u1eb7c d\u00f9 Dask v\u1ec1 c\u01a1 b\u1ea3n l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n duy nh\u1ea5t nh\u01b0ng n\u00f3 cung c\u1ea5p m\u1ed9t s\u1ed1 c\u1ea5u tr\u00fac d\u1eef li\u1ec7u ho\u1eb7c &#039;b\u1ed9 s\u01b0u t\u1eadp&#039; b\u1eaft ch\u01b0\u1edbc v\u00e0 m\u1edf r\u1ed9ng c\u00e1c c\u1ea5u tr\u00fac d\u1eef li\u1ec7u Python quen thu\u1ed9c. Bao g\u1ed3m c\u00e1c:<\/p>\n<ol>\n<li>\n<p><strong>M\u1ea3ng Dask<\/strong>: B\u1eaft ch\u01b0\u1edbc giao di\u1ec7n ndarray c\u1ee7a NumPy v\u00e0 c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 h\u1ea7u h\u1ebft API c\u1ee7a NumPy. N\u00f3 \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn kh\u00f4ng v\u1eeba v\u1edbi b\u1ed9 nh\u1edb.<\/p>\n<\/li>\n<li>\n<p><strong>Khung d\u1eef li\u1ec7u Dask<\/strong>: Ph\u1ea3n \u00e1nh giao di\u1ec7n Pandas DataFrame v\u00e0 h\u1ed7 tr\u1ee3 m\u1ed9t t\u1eadp h\u1ee3p con c\u1ee7a API Pandas. H\u1eefu \u00edch \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn h\u01a1n b\u1ed9 nh\u1edb v\u1edbi giao di\u1ec7n t\u01b0\u01a1ng t\u1ef1 nh\u01b0 Pandas.<\/p>\n<\/li>\n<li>\n<p><strong>T\u00fai Dask<\/strong>: Th\u1ef1c hi\u1ec7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng nh\u01b0 <code data-no-translation=\"\">map<\/code>, <code data-no-translation=\"\">filter<\/code>, <code data-no-translation=\"\">groupby<\/code> tr\u00ean c\u00e1c \u0111\u1ed1i t\u01b0\u1ee3ng Python chung. N\u00f3 r\u1ea5t ph\u00f9 h\u1ee3p \u0111\u1ec3 l\u00e0m vi\u1ec7c v\u1edbi d\u1eef li\u1ec7u b\u00e1n c\u1ea5u tr\u00fac, nh\u01b0 JSON ho\u1eb7c XML.<\/p>\n<\/li>\n<li>\n<p><strong>Dask ML<\/strong>: N\u00f3 cung c\u1ea5p c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng, t\u00edch h\u1ee3p t\u1ed1t v\u1edbi c\u00e1c b\u1ed9 s\u01b0u t\u1eadp Dask kh\u00e1c.<\/p>\n<\/li>\n<\/ol>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng Dask<\/h2>\n<p>Dask r\u1ea5t linh ho\u1ea1t v\u00e0 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng cho nhi\u1ec1u \u1ee9ng d\u1ee5ng kh\u00e1c nhau, bao g\u1ed3m:<\/p>\n<ul>\n<li>\n<p>Chuy\u1ec3n \u0111\u1ed5i v\u00e0 ti\u1ec1n x\u1eed l\u00fd d\u1eef li\u1ec7u: C\u1ea5u tr\u00fac m\u1ea3ng v\u00e0 khung d\u1eef li\u1ec7u c\u1ee7a Dask cho ph\u00e9p chuy\u1ec3n \u0111\u1ed5i song song hi\u1ec7u qu\u1ea3 c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<\/li>\n<li>\n<p>H\u1ecdc m\u00e1y: Dask-ML cung c\u1ea5p m\u1ed9t b\u1ed9 thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y c\u00f3 th\u1ec3 m\u1edf r\u1ed9ng, c\u00f3 th\u1ec3 \u0111\u1eb7c bi\u1ec7t h\u1eefu \u00edch khi x\u1eed l\u00fd c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/p>\n<\/li>\n<li>\n<p>M\u00f4 ph\u1ecfng v\u00e0 t\u00ednh to\u00e1n ph\u1ee9c t\u1ea1p: Giao di\u1ec7n tr\u1ec5 Dask c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 th\u1ef1c hi\u1ec7n song song c\u00e1c ph\u00e9p t\u00ednh t\u00f9y \u00fd.<\/p>\n<\/li>\n<\/ul>\n<p>B\u1ea5t ch\u1ea5p t\u00ednh linh ho\u1ea1t v\u00e0 s\u1ee9c m\u1ea1nh c\u1ee7a n\u00f3, Dask c\u00f3 th\u1ec3 \u0111\u01b0a ra nh\u1eefng th\u00e1ch th\u1ee9c. V\u00ed d\u1ee5: m\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n kh\u00f4ng d\u1ec5 d\u00e0ng song song h\u00f3a v\u00e0 c\u00f3 th\u1ec3 kh\u00f4ng \u0111\u01b0\u1ee3c h\u01b0\u1edfng l\u1ee3i \u0111\u00e1ng k\u1ec3 t\u1eeb kh\u1ea3 n\u0103ng t\u00ednh to\u00e1n ph\u00e2n t\u00e1n c\u1ee7a Dask. H\u01a1n n\u1eefa, gi\u1ed1ng nh\u01b0 b\u1ea5t k\u1ef3 h\u1ec7 th\u1ed1ng \u0111i\u1ec7n to\u00e1n ph\u00e2n t\u00e1n n\u00e0o, vi\u1ec7c t\u00ednh to\u00e1n Dask c\u00f3 th\u1ec3 b\u1ecb gi\u1edbi h\u1ea1n b\u1edfi b\u0103ng th\u00f4ng m\u1ea1ng, \u0111\u1eb7c bi\u1ec7t khi l\u00e0m vi\u1ec7c tr\u00ean m\u1ed9t c\u1ee5m.<\/p>\n<h2>So s\u00e1nh v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 t\u01b0\u01a1ng t\u1ef1<\/h2>\n<p>Dask th\u01b0\u1eddng \u0111\u01b0\u1ee3c so s\u00e1nh v\u1edbi c\u00e1c khung \u0111i\u1ec7n to\u00e1n ph\u00e2n t\u00e1n kh\u00e1c, \u0111\u1eb7c bi\u1ec7t l\u00e0 Apache Spark. \u0110\u00e2y l\u00e0 m\u1ed9t so s\u00e1nh ng\u1eafn g\u1ecdn:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u0110\u1eb7c tr\u01b0ng<\/th>\n<th>Dask<\/th>\n<th>Apache Spark<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Ng\u00f4n ng\u1eef<\/td>\n<td>Python<\/td>\n<td>Scala, Java, Python, R<\/td>\n<\/tr>\n<tr>\n<td>D\u1ec5 s\u1eed d\u1ee5ng<\/td>\n<td>Cao (\u0111\u1eb7c bi\u1ec7t \u0111\u1ed1i v\u1edbi ng\u01b0\u1eddi d\u00f9ng Python)<\/td>\n<td>V\u1eeba ph\u1ea3i<\/td>\n<\/tr>\n<tr>\n<td>H\u1ec7 sinh th\u00e1i<\/td>\n<td>T\u00edch h\u1ee3p nguy\u00ean b\u1ea3n v\u1edbi ng\u0103n x\u1ebfp d\u1eef li\u1ec7u Python (Pandas, NumPy, Scikit-learn)<\/td>\n<td>M\u1edf r\u1ed9ng (Spark SQL, MLLib, GraphX)<\/td>\n<\/tr>\n<tr>\n<td>Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng<\/td>\n<td>T\u1ed1t<\/td>\n<td>Xu\u1ea5t s\u1eafc<\/td>\n<\/tr>\n<tr>\n<td>Hi\u1ec7u su\u1ea5t<\/td>\n<td>Nhanh ch\u00f3ng, t\u1ed1i \u01b0u h\u00f3a cho c\u00e1c t\u00ednh to\u00e1n ph\u1ee9c t\u1ea1p<\/td>\n<td>Nhanh ch\u00f3ng, \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho c\u00e1c ho\u1ea1t \u0111\u1ed9ng x\u00e1o tr\u1ed9n d\u1eef li\u1ec7u<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m t\u01b0\u01a1ng lai v\u00e0 c\u00f4ng ngh\u1ec7 li\u00ean quan \u0111\u1ebfn Dask<\/h2>\n<p>Khi k\u00edch th\u01b0\u1edbc d\u1eef li\u1ec7u ti\u1ebfp t\u1ee5c t\u0103ng l\u00ean, c\u00e1c c\u00f4ng c\u1ee5 nh\u01b0 Dask ng\u00e0y c\u00e0ng tr\u1edf n\u00ean quan tr\u1ecdng. Dask \u0111ang \u0111\u01b0\u1ee3c ph\u00e1t tri\u1ec3n t\u00edch c\u1ef1c v\u00e0 c\u00e1c b\u1ea3n c\u1eadp nh\u1eadt trong t\u01b0\u01a1ng lai nh\u1eb1m c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t, t\u00ednh \u1ed5n \u0111\u1ecbnh v\u00e0 t\u00edch h\u1ee3p v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n kh\u00e1c trong h\u1ec7 sinh th\u00e1i PyData.<\/p>\n<p>H\u1ecdc m\u00e1y v\u1edbi d\u1eef li\u1ec7u l\u1edbn l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c \u0111\u1ea7y h\u1ee9a h\u1eb9n \u0111\u1ed1i v\u1edbi Dask. Kh\u1ea3 n\u0103ng l\u00e0m vi\u1ec7c li\u1ec1n m\u1ea1ch v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n nh\u01b0 Scikit-Learn v\u00e0 XGBoost c\u1ee7a Dask khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng c\u1ee5 h\u1ea5p d\u1eabn cho c\u00e1c t\u00e1c v\u1ee5 h\u1ecdc m\u00e1y ph\u00e2n t\u00e1n. S\u1ef1 ph\u00e1t tri\u1ec3n trong t\u01b0\u01a1ng lai c\u00f3 th\u1ec3 t\u0103ng c\u01b0\u1eddng h\u01a1n n\u1eefa nh\u1eefng kh\u1ea3 n\u0103ng n\u00e0y.<\/p>\n<h2>M\u00e1y ch\u1ee7 proxy v\u00e0 Dask<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 n\u00e0o \u0111\u00f3 trong m\u00f4i tr\u01b0\u1eddng Dask b\u1eb1ng c\u00e1ch cung c\u1ea5p th\u00eam m\u1ed9t l\u1edbp b\u1ea3o m\u1eadt v\u00e0 ki\u1ec3m so\u00e1t khi Dask t\u01b0\u01a1ng t\u00e1c v\u1edbi c\u00e1c t\u00e0i nguy\u00ean b\u00ean ngo\u00e0i. Ch\u1eb3ng h\u1ea1n, m\u1ed9t m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ki\u1ec3m so\u00e1t v\u00e0 gi\u00e1m s\u00e1t l\u01b0u l\u01b0\u1ee3ng gi\u1eefa nh\u00e2n vi\u00ean Dask v\u00e0 c\u00e1c ngu\u1ed3n d\u1eef li\u1ec7u ho\u1eb7c d\u1ecbch v\u1ee5 l\u01b0u tr\u1eef tr\u00ean internet. Tuy nhi\u00ean, ph\u1ea3i c\u1ea9n th\u1eadn \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o r\u1eb1ng m\u00e1y ch\u1ee7 proxy kh\u00f4ng tr\u1edf th\u00e0nh n\u00fat th\u1eaft c\u1ed5 chai l\u00e0m h\u1ea1n ch\u1ebf hi\u1ec7u su\u1ea5t c\u1ee7a Dask.<\/p>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ol>\n<li><a href=\"https:\/\/dask.org\/\" target=\"_new\" rel=\"noopener nofollow\">T\u00e0i li\u1ec7u Dask<\/a>: T\u00e0i li\u1ec7u ch\u00ednh th\u1ee9c to\u00e0n di\u1ec7n bao g\u1ed3m t\u1ea5t c\u1ea3 c\u00e1c kh\u00eda c\u1ea1nh c\u1ee7a Dask.<\/li>\n<li><a href=\"https:\/\/github.com\/dask\/dask\" target=\"_new\" rel=\"noopener nofollow\">Kho l\u01b0u tr\u1eef Dask GitHub<\/a>: M\u00e3 ngu\u1ed3n c\u1ee7a Dask, c\u00f9ng v\u1edbi c\u00e1c v\u00ed d\u1ee5 v\u00e0 theo d\u00f5i v\u1ea5n \u0111\u1ec1.<\/li>\n<li><a href=\"https:\/\/tutorial.dask.org\/\" target=\"_new\" rel=\"noopener nofollow\">H\u01b0\u1edbng d\u1eabn v\u1ec1 Dask<\/a>: H\u01b0\u1edbng d\u1eabn chi ti\u1ebft d\u00e0nh cho ng\u01b0\u1eddi d\u00f9ng m\u1edbi b\u1eaft \u0111\u1ea7u v\u1edbi Dask.<\/li>\n<li><a href=\"https:\/\/blog.dask.org\/\" target=\"_new\" rel=\"noopener nofollow\">Blog Dask<\/a>: Blog ch\u00ednh th\u1ee9c c\u00f3 c\u00e1c th\u00f4ng tin c\u1eadp nh\u1eadt v\u00e0 tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng li\u00ean quan \u0111\u1ebfn Dask.<\/li>\n<li><a href=\"https:\/\/stories.dask.org\/en\/latest\/\" target=\"_new\" rel=\"noopener nofollow\">C\u00e1c tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng Dask<\/a>: V\u00ed d\u1ee5 th\u1ef1c t\u1ebf v\u1ec1 c\u00e1ch s\u1eed d\u1ee5ng Dask.<\/li>\n<li><a href=\"https:\/\/docs.dask.org\/en\/latest\/api.html\" target=\"_new\" rel=\"noopener nofollow\">API Dask<\/a>: Th\u00f4ng tin chi ti\u1ebft v\u1ec1 API c\u1ee7a Dask.<\/li>\n<\/ol>","protected":false},"featured_media":468085,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476592","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Dask: An Overview<\/mark>","faq_items":[{"question":"What is Dask?","answer":"<p>Dask is an open-source library for parallel computing in Python. It is designed to scale from a single computer to a cluster of servers, allowing large computations to be performed across many cores. Dask is particularly useful for big data processing tasks.<\/p>"},{"question":"When was Dask first introduced and by whom?","answer":"<p>Dask was first announced in 2014 by Matthew Rocklin, a developer associated with Anaconda Inc. He created Dask to overcome the computational limitations of in-memory processing in Python, specifically for large datasets.<\/p>"},{"question":"How does Dask work?","answer":"<p>Dask works by breaking down computations into smaller tasks, executing these tasks in a parallel manner, and effectively managing memory resources. It creates a task scheduling graph, a directed acyclic graph (DAG), that describes the sequence of computations to be performed. The Dask distributed scheduler then assigns and executes these tasks across worker nodes in a cluster.<\/p>"},{"question":"What are the key features of Dask?","answer":"<p>The key features of Dask include its ability to perform parallel operations, scale seamlessly, integrate with existing Python libraries, handle a wide range of tasks, and manage datasets larger than memory by breaking them into smaller chunks.<\/p>"},{"question":"What types of Dask exist?","answer":"<p>Dask provides several data structures or 'collections' that mimic and extend familiar Python data structures, including Dask Array, Dask DataFrame, Dask Bag, and Dask ML.<\/p>"},{"question":"How can Dask be used and what challenges can arise?","answer":"<p>Dask can be used for various applications including data transformation, machine learning, and complex computations. Despite its versatility, Dask can present challenges. Some algorithms are not easily parallelizable and network bandwidth can limit Dask computations when working on a cluster.<\/p>"},{"question":"How does Dask compare to similar tools like Apache Spark?","answer":"<p>While both Dask and Apache Spark are distributed computing frameworks, Dask is built around Python and natively integrates with Python data stack. It is often considered easier to use for Python developers. Apache Spark, on the other hand, is built around Scala and Java, and while it supports Python, it is often considered more extensive in its ecosystem.<\/p>"},{"question":"What are the future perspectives and technologies related to Dask?","answer":"<p>As data sizes continue to grow, tools like Dask become increasingly important. Future developments aim to improve Dask's performance, stability, and integration with other libraries. Machine learning with big data is a promising area for Dask.<\/p>"},{"question":"How are proxy servers associated with Dask?","answer":"<p>Proxy servers can provide an additional layer of security and control when Dask interacts with external resources. A proxy server can control and monitor the traffic between Dask workers and data sources or storage services on the internet. However, it must be ensured that the proxy server does not limit Dask's performance.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/476592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/476592\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468085"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=476592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}