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indexã«é–¢ã™ã‚‹yassã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (102)

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Luceneã®ãƒ¡ãƒ¢ãƒªä¸Šã§ã®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹æ§‹é€ ã¨ãã®ä»•çµ„ã¿ - ã‚¨ãƒ ã‚¹ãƒªãƒ¼ãƒ†ãƒƒã‚¯ãƒ–ãƒã‚°
ã‚¨ãƒ ã‚¹ãƒªãƒ¼ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãƒªãƒ³ã‚°ã‚°ãƒ«ãƒ¼ãƒ— AIãƒ»æ©Ÿæ¢°å¦ç¿’ãƒãƒ¼ãƒ ã§ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã‚’ã—ã¦ã„ã‚‹ä¸æ‘(@po3rin) ã§ã™ã€‚ å¼Šç¤¾ã§ã¯æ¯Žé€±æ°´æ›œæ—¥ã«Elasticsearchã¨Luceneã®ã‚³ãƒ¼ãƒ‰ãƒªãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ä¼šãŒé–‹å‚¬ã•ã‚Œã¦ã„ã¾ã™ã€‚æœ€è¿‘ã§ã¯Luceneã®FSTã‚„KD-Treeã€ã‚‚ã†ã™ãå…¬é–‹ã•ã‚Œã‚‹NSWã®å®Ÿè£…å‘¨ã‚Šã‚’èªã‚“ã§ã„ã¾ã—ãŸã€‚ å…ˆæ—¥ã€ç§ã®ç™ºè¡¨å›žã§Luceneã®ãƒ¡ãƒ¢ãƒªä¸Šã§ã®è»¢ç½®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã«ã¤ã„ã¦ç™ºè¡¨ã—ãŸã®ã§ã€ãã®å†…å®¹ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚Luceneã®ã“ã¨ãŒå°‘ã—ã§ã‚‚èº«è¿‘ã«æ„Ÿã˜ã¦ã„ãŸã ã‘ã‚Œã°å¹¸ã„ã§ã™ã€‚ Luceneã¨ã¯ è»¢ç½®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã«é–¢ã™ã‚‹äº‹å‰çŸ¥è˜ Luceneã®äº‹å‰çŸ¥è˜ Luceneã®ãƒ¡ãƒ¢ãƒªä¸Šã§ã®è»¢ç½®ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹å®Ÿè£…å†…éƒ¨ ç¢ºä¿ã—ãŸãƒ¡ãƒ¢ãƒªãŒã‚ãµã‚ŒãŸå ´åˆ ã¾ã¨ã‚ We're hiring !!! Luceneã¨ã¯ github.com Elasticsearchã®å†…éƒ¨ã§åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã‚ªãƒ¼ãƒ—ãƒ³
yass 2021/08/03
lucene

full text search

index

book
ãƒªãƒ³ã‚¯
ã‚¢ã‚·ã‚¹ãƒˆã®è¦–ç‚¹ã€Œã‚¢ã‚¯ã‚»ã‚¹ãƒ»ãƒ‘ã‚¹ã‹ã‚‰è¦‹ã‚‹RDBMSã®é•ã„ã€ | ã‚¢ã‚·ã‚¹ãƒˆ
å•†ç”¨RDBMSã®ãƒ‡ãƒ•ã‚¡ã‚¯ãƒˆãƒ»ã‚¹ã‚¿ãƒ³ãƒ€ãƒ¼ãƒ‰ã§ã‚ã‚‹ã€ŒOracle Databaseã€ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹RDBMSã®ä¸¡é›„ã§ã‚ã‚‹ã€ŒPostgreSQLã€ã€ã€ŒMySQLã€ã«ã¯ã€ãã‚Œãžã‚Œã®RDBMSã®å€‹æ€§ã‚’æ´»ã‹ã›ã‚‹é©ç”¨é ˜åŸŸãŒã‚ã‚Šã¾ã™ã€‚æœ¬ç¨¿ã§ã¯ã€RDBMSã®ã€Œæ€§èƒ½è¦ä»¶ã€ã«æ·±ãé–¢ä¿‚ã™ã‚‹ã€Œã‚¢ã‚¯ã‚»ã‚¹ãƒ»ãƒ‘ã‚¹ã€ã‚’é¡Œæã«ã€ã€ŒOracle Databaseã€ã€ã€ŒPostgreSQLã€ã€ã€ŒMySQLã€ã®ç‰¹é•·ã‚’æ•´ç†ã—ã€é©æé©æ‰€ã§æ´»ç”¨ã™ã‚‹ãƒ’ãƒ³ãƒˆã‚’æŽ¢ã‚Šã¾ã™ã€‚ ã‚¢ã‚·ã‚¹ãƒˆã§ã¯1987å¹´ã«å–ã‚Šæ‰±ã„ã‚’é–‹å§‹ã—ãŸã€ŒOracle Databaseã€ã«åŠ ãˆã€2009å¹´10æœˆã‚ˆã‚Šã€ŒPostgreSQLï¼ˆãƒã‚¹ãƒˆã‚°ãƒ¬ã‚¹ã‚ãƒ¥ãƒ¼ã‚¨ãƒ«ï¼‰ã€ã€2011å¹´10æœˆã«ã¯PostgreSQLã‚’ãƒ™ãƒ¼ã‚¹ã¨ã—Oracle Databaseã¨ã®äº’æ›æ€§æ©Ÿèƒ½ã‚’æœ‰ã™ã‚‹ã€ŒPostgres Plusï¼ˆãƒã‚¹ãƒˆã‚°ãƒ¬ã‚¹ãƒ—ãƒ©ã‚¹ï¼‰ã€ã€Webã‚µãƒ¼ãƒ“ã‚¹ã®ã‚·ã‚¹ãƒ†ãƒ ã«ã¦æŽ¡ç”¨ã•ã‚Œã¦ã„ã‚‹RDBMSã¨ã—ã¦ã¯
yass 2016/12/18
database

oracle

PostgreSQL

MySQL

index

join
ãƒªãƒ³ã‚¯
GZinga: Seekable and Splittable Gzip
Generally, data compression techniques are used to conserve space and network bandwidth. Widely used compression techniques include Gzip, bzip2, lzop, and 7-Zip.Â According to performance benchmarks, lzop is one of the fastest compression algorithms, while bzip2 has a high compression ratio but is very slow. Gzip offers the lowest level of compression. Gzip is based on the DEFLATE algorithm, which
yass 2016/06/26
gzip

java

hadoop

index
ãƒªãƒ³ã‚¯
zindex - index your compressed text files
Scratching your own itch @mattgo dbolt / @mattgo dbolt My probl em 5000+ read-only archived JSON log files on NFS Average 450MiB gzipped, 4GiB uncompressed Need to find entries by a unique ID zgrep $ zgrep -E '^\{"eventId":63181572,' audit.log.gz {"eventId":63181572,...} Takes 14 seconds zgrep has to uncompress every byte of the file to search it! Could index file ...but then would need to be able to
yass 2015/11/23
gzip

compression

index

sqlite

deflate
ãƒªãƒ³ã‚¯
How does SQLite work? Part 2: btrees! (or: disk seeks are slow don't do them!)
yass 2015/11/22
SQLite

btree

index
ãƒªãƒ³ã‚¯
Redshift ã® Interleaved Sort Key ã«ã¤ã„ã¦è§£èª¬ã—ã¦ã¿ã‚‹ - Qiita
ã¯ã˜ã‚ã« Redshift ã«ãŠã‘ã‚‹ Sort Key ã®ï¼‘ã¤ã§ã‚ã‚‹ Interleaved Srot Key ã«ã¤ã„ã¦è§£èª¬ã‚’ã—ã¾ã™ã€‚å…¬å¼ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã«ã¯ã•ã‚‰ã£ã¨ã—ã‹è¨˜è¿°ãŒãªã„ã®ã§ã™ãŒã€ç§ãŒç¢ºèªã—ãŸå…¬é–‹ã•ã‚ŒãŸæƒ…å ±ã®ãªã‹ã§ã¯ AWS Blog ãŒä¸€ç•ªè©³ã—ãè§£èª¬ã•ã‚Œã¦ã„ã¾ã—ãŸã€‚æœ¬ç¨¿ã¯ã“ã¡ã‚‰ã® Blog ã‚’ç†è§£ã™ã‚‹ã“ã¨ã‚’ç›®çš„ã¨ã—ã¾ã™ã€‚ Sort Style å¤§ããåˆ†ã‘ã¦ 3 ã¤ã‚ã‚Šã¾ã™ã€‚ Single-column Sort Key column å˜ä½ã§è¨å®šã•ã‚ŒãŸ Keyã€‚ Compound Sort Key table å˜ä½ã§è¨å®šã•ã‚ŒãŸã‚‚ã®ã§ã€2ã¤ä»¥ä¸Šã® column ã«å¯¾ã—ã¦ã‚»ãƒƒãƒˆã•ã‚ŒãŸ Keyã€‚ã„ã‚ã‚†ã‚‹è¤‡åˆ Key ã§ã€€Primary, Secondary ã¨ Key é–“ã«å„ªå…ˆé †ä½ãŒã‚ã‚Šã¾ã™ã€‚ Interleaved Sort Key table å˜ä½ã§è¨å®šã•ã‚ŒãŸã‚‚ã®ã§ã€1ã¤ä»¥ä¸Šã® col
yass 2015/08/01
redshift

sort

index
ãƒªãƒ³ã‚¯
RDB - å®Ÿä¾‹ã§å¦ã¶ã€JOIN (NLJ) ãŒé…ããªã‚‹ç†å±ˆã¨å¯¾å‡¦æ³• - Qiita
"Nested Loop Joinã—ã‹å–ã‚Šä¸Šã’ã¦ç„¡ã„ã®ã«ã‚¿ã‚¤ãƒˆãƒ«ãŒå¤§ãã™ãŽãªã„ã‹" ã¨æŒ‡æ‘˜ã‚’é ‚ã„ãŸã®ã§ã€ã‚¿ã‚¤ãƒˆãƒ«ã‚’ä¿®æ£ã—ã¾ã—ãŸã€‚Merge Joinã¨Hash Joinã®ã“ã¨ã¯ã¾ãŸä»Šåº¦æ›¸ã“ã†ã¨æ€ã„ã¾ã™ã€‚ ã€ŒJOINã¯é…ã„ã€ã¨ã‚ˆãè¨€ã‚ã‚Œã¾ã™ã€‚ç‰¹ã«RDBã‚’ä½¿ã„å§‹ã‚ã¦é–“ãŒãªã„å†…ã«ãã†ã„ã†è¨€èª¬ã«è§¦ã‚ŒãŸçµæžœã€ŒJOIN=æ‚ªã€ã¨ã„ã†èªè˜ã§å›ºå®šåŒ–ã•ã‚Œã¦ã—ã¾ã£ã¦ã„ã‚‹äººã‚‚å¤šã„ã‚ˆã†ã«æ„Ÿã˜ã¦ã„ã¾ã™ã€‚ ãŸã—ã‹ã«ã€JOINã‚’å«ã‚€ã‚ˆã†ãªSELECTæ–‡ã¯ã€å«ã¾ãªã„ã‚‚ã®ã«æ¯”ã¹ã¦é‡ãŸããªã‚‹å‚¾å‘ãŒã‚ã‚‹ã“ã¨ã¯äº‹å®Ÿã§ã™ã€‚ã¾ãŸã€æœ¬è³ªçš„ã«å•ã„åˆã‚ã›ãŸã„å†…å®¹ãŒè¤‡é›‘ã§ã€å¯¾å‡¦ã™ã‚‹ã“ã¨ãŒé›£ã—ã„ã‚‚ã®ã‚‚å˜åœ¨ã—ã¾ã™ã€‚ã—ã‹ã—ã€RDBã®ä¸ã§ä¸€ä½“ã©ã†ã„ã†ã“ã¨ãŒèµ·ãã¦ã„ã‚‹ã®ã‹ã‚’çŸ¥ã‚Šã€ãã‚Œã«åŸºã„ã¦å¯¾å‡¦ã™ã‚Œã°é«˜é€ŸåŒ–ã§ãã‚‹ã“ã¨ã‚‚å°‘ãªããªã„ã¨è€ƒãˆã¦ã„ã¾ã™ã€‚ æœ¬ç¨¿ã§ã¯ã€JOINã®å†…éƒ¨å‹•ä½œã‚’è§£èª¬ã—ãŸä¸Šã§ã€Webã‚µãƒ¼ãƒ“ã‚¹ã‚’ä½œã£ã¦ã„ã‚‹ã¨ã‚ˆãå‡ºã¦ãã‚‹JOIN SQLã‚’ä¾‹é¡Œã«
yass 2015/07/12
sql

join

database

nested loop join

index
ãƒªãƒ³ã‚¯
Lucene lecture at Pisa
Package: org.apache.lucene.analysis An Analyzer is a TokenStream factory. A TokenStream is an iterator over Tokens. input is a character iterator (Reader) A Token is tuple <text, type, start, length, positionIncrement> text (e.g., â€œpisaâ€). type (e.g., â€œwordâ€, â€œsentâ€, â€œparaâ€). start & length offsets, in characters (e.g, <5,4>) positionIncrement (normally 1) standard TokenStream implementations are
yass 2015/03/22
lucene

algorithm

skip list

index
ãƒªãƒ³ã‚¯
GitHub - greenlion/FastBit_UDF: MySQL UDF for creating, manipulating and querying FastBit indexes
MySQL UDF for creating, manipulating and querying FastBit indexes ##About these UDF Functions and FastBit FastBit is a data store which implements WAH (word aligned hybrid) bit map indexes. These UDF create, modify and query FastBit tables. The UDF treats a single directory on the filesystem as one FastBit table. Inside of the FastBit table/directory are directories representing partitions. The par
yass 2015/03/22
MySQL

udf

bitmap index

index
ãƒªãƒ³ã‚¯
Text processing (part 2): Inverted Index
This is the second part of my text processing series.Â In this blog, we'll look into how text documents can be stored in a form that can be easily retrieved by a query.Â I'll used the popular open source Apache Lucene index for illustration. There are two main processing flow in the system ... Document indexing: Given a document, add it into the index Document retrieval: Given a query, retrieve th
yass 2015/03/22
lucene

index
ãƒªãƒ³ã‚¯
Hacking Lucene - The Index format - Hacker Labs
yass 2015/03/22
lucene

index
ãƒªãƒ³ã‚¯
BurntSushi/xsv Â· GitHub - A fast CSV toolkit written in Rust.
cat - Concatenate CSV files by row or by column. count - Count the rows in a CSV file. (Instantaneous with an index.) fixlengths - Force a CSV file to have same-length records by either padding or truncating them. flatten - A flattened view of CSV records. Useful for viewing one record at a time. e.g., xsv slice -i 5 data.csv | xsv flatten. fmt - Reformat CSV data with different delimiters, record
yass 2015/03/21
" xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files.Â "

csv

rust

index
ãƒªãƒ³ã‚¯
æ·±ã„è¦ªåé–¢ä¿‚ã®ãƒ†ãƒ¼ãƒ–ãƒ«è¨è¨ˆ
2. è‡ªå·±ç´¹ä»‹ @yuba ïµ æ ªå¼ä¼šç¤¾ã‚¤ãƒ³ã‚¿ãƒ¼ã‚³ãƒ ïµ åž‹ã¨åˆ¶ç´„å¤§å¥½ãäººé–“ ïµ ãƒ–ãƒã‚°ã¨ã‹Qiitaã§æ›¸ã„ã¦ã‚‹è¨˜äº‹ãŒã“ã‚“ãªæ„Ÿã˜ã§ã™ã€‚ ïµ è«–ç†å‰Šé™¤ã¨ä¸€æ„æ€§åˆ¶ç´„ã‚’ä¸¡ç«‹ã•ã›ã‚‹æ–¹æ³•ãƒ»DBè£½å“åˆ¥ â€“ Qiita ïµ ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã‚’ãƒã‚¹ãƒˆã—ãŸã‚‰ã©ã†ãªã‚‹ï¼Ÿ å†…å´ã ã‘ãƒãƒ¼ãƒ«ãƒãƒƒã‚¯ã§ãã‚‹ï¼Ÿ - Qiita ïµ ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹æ“ä½œã§ãƒ‡ãƒƒãƒ‰ãƒãƒƒã‚¯ã¯ä¸å¯é¿ â€“ C Sharpens you up ïµ å¤–éƒ¨ã‚ãƒ¼å‚ç…§ã—ã‚ã†ãƒ†ãƒ¼ãƒ–ãƒ«ã‚’é…å»¶åˆ¶ç´„ã§å®Ÿç¾ã™ã‚‹ â€“ C Sharpens you up ïµ SQL Serverã®è¨ˆç®—åˆ—ã‚’ä½¿ã£ã¦ãƒ„ãƒªãƒ¼æ§‹é€ ãƒ‡ãƒ¼ã‚¿ã‚’å®Œå…¨ã«åˆ¶ç´„ä»˜ã‘ã‚‹ â€“ C Sharpens you up ïµ SQLã®ã‚«ãƒ©ãƒ åˆ¶ç´„ã¯ãƒ†ãƒ¼ãƒ–ãƒ«åˆ¶ç´„ã¨ç‰ä¾¡ â€“ C Sharpens you up
yass 2015/02/14
SQL

join

foreign key

index
ãƒªãƒ³ã‚¯
War Story: Speeding up Block-based Table Lookup
yass 2015/01/10
rocksdb

index

hashtable

binary search
ãƒªãƒ³ã‚¯
Sawada Masahiko: GINã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®é€²åŒ– - PostgreSQL9.4
Friday, December 19, 2014 GINã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®é€²åŒ– - PostgreSQL9.4 ã“ã®è¨˜äº‹ã¯PostgreSQL Advent Calendar 2014ã®12/19æ‹…å½“åˆ†ã§ã™ã€‚ æ˜¨æ—¥ã®12æœˆ18æ—¥ã€ã¤ã„ã«PostgreSQL9.4ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸï¼ï¼ 0. ã¯ã˜ã‚ã« PostgreSQL9.4ã§ã¯æ§˜ã€…ãªæ–°æ©Ÿèƒ½ãŒçµ„ã¿è¾¼ã¾ã‚ŒãŸã»ã‹ã€æ—¢å˜æ©Ÿèƒ½ã®é€²åŒ–ã‚‚ã‚ã‚Šã¾ã—ãŸã€‚ ãã®ä¸ã§ã‚‚å…¨æ–‡æ¤œç´¢ç‰ã«ä½¿ã‚ã‚Œã‚‹â€GINã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹â€ã§ã¯ã€ ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚µã‚¤ã‚ºã®ç¸®å° ç‰¹å®šã‚±ãƒ¼ã‚¹ã§ã®æ¤œç´¢é€Ÿåº¦å‘ä¸Š ã®2ã¤ã®å¤§ããªé€²åŒ–ãŒã‚ã‚Šã¾ã—ãŸã€‚ æœ¬è¨˜äº‹ã§ã¯ã€ã“ã‚Œã‚‰ã®å†…å®¹ã«ã¤ã„ã¦å…·ä½“çš„ã«ã©ã®ã‚ˆã†ãªæ”¹å–„ãŒã‚ã£ãŸã‹ã‚’ã”ç´¹ä»‹ã„ãŸã—ã¾ã™ã€‚GINã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã£ã¦ï¼Ÿå…¨æ–‡æ¤œç´¢ã£ã¦ï¼Ÿ ã¨ã„ã†æ–¹ã¯ã“ã¡ã‚‰(pg_bigmã‚’ç”¨ã„ãŸå…¨æ–‡æ¤œç´¢ã®ã—ãã¿)ã‚’ã”å‚ç…§ãã ã•ã„ã€‚ 1. ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚µã‚¤ã‚ºã®ç¸®å° 9.4ã§ã¯
yass 2014/12/22
" varbyteã‚¨ãƒ³ã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°â€ã¨ã„ã‚ã‚Œã‚‹åœ§ç¸®æ–¹æ³•ã‚’ç”¨ã„ã¦ã€GINã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã®PostingListã‚’åœ§ç¸® "

postgresql

index

gin

compression
ãƒªãƒ³ã‚¯
ã‚ˆã‚Šæ·±ãçŸ¥ã‚‹ã‚ªãƒ•ã‚šãƒ†ã‚£ãƒžã‚¤ã‚µã‚™ã¨ãã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°
JPUGä¸»å‚¬ PostgreSQLã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹2014ï¼ˆ2014.12.05@å“å·APï¼‰ https://www.postgresql.jp/events/jpug-pgcon2014 ã€C5ã€‘ã€Œã‚ˆã‚Šæ·±ãçŸ¥ã‚‹ã‚ªãƒ—ãƒ†ã‚£ãƒžã‚¤ã‚¶ã¨ãã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã€ã®ç™ºè¡¨è³‡æ–™ã§ã™ã€‚Read less
yass 2014/12/07
database

index

optimizer
ãƒªãƒ³ã‚¯
Amazon S3 Directory Browser â€“ Apacheã®Directory Indexé¢¨ã«S3ã‚’é–²è¦§
MOONGIFTã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ»ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚’ç´¹ä»‹ã™ã‚‹ãƒ–ãƒã‚°ã§ã™ã€‚2021å¹´07æœˆ16æ—¥ã§æ›´æ–°åœæ¢ã—ã¾ã—ãŸ Amazon S3ã‚’ã‚¯ãƒ©ã‚¦ãƒ‰ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã¨ã—ã¦æ´»ç”¨ã—ã¦ã„ã‚‹äººã¯å¤šã„ã§ã™ã€‚ã‚·ã‚¹ãƒ†ãƒ ã‹ã‚‰è‡ªå‹•ä¿å˜ã™ã‚‹ã ã‘ã§ãªãã€æ™®é€šã«ãƒ•ã‚¡ã‚¤ãƒ«ç½®ãå ´ã¨ä½¿ã£ã¦ã„ãŸã‚Šã—ã¾ã™ã€‚ãƒã‚¤ãƒŠãƒªãƒ•ã‚¡ã‚¤ãƒ«ã‚’ç½®ã„ã¦ã€ãƒ•ã‚¡ã‚¤ãƒ«é…å¸ƒã®å ´ã¨ã—ã¦ä½¿ã£ã¦ã„ã‚‹ã‚±ãƒ¼ã‚¹ã‚‚å¤šã„ã§ã—ã‚‡ã†ã€‚ ãã†ãªã‚‹ã¨æ¬²ã—ããªã‚‹ã®ãŒãƒ•ã‚¡ã‚¤ãƒ«ä¸€è¦§ã€ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ãƒšãƒ¼ã‚¸ã§ã¯ãªã„ã§ã—ã‚‡ã†ã‹ã€‚ãã“ã§ä½¿ã£ã¦ã¿ãŸã„ã®ãŒAmazon S3 Directory Browserã§ã™ã€‚ Amazon S3 Directory Browserã®ä½¿ã„æ–¹ Amazon S3 Directory Browserã‚’ä½¿ã†ã¨ãƒ•ã‚¡ã‚¤ãƒ«ã€ãƒ•ã‚©ãƒ«ãƒ€ã®ä¸€è¦§ãŒApacheã®Directory Indexã®ã‚ˆã†ã«ã‚·ãƒ³ãƒ—ãƒ«ã«ä½¿ãˆã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚Webã‚µãƒ¼ãƒã®Directory Indexã‚’ãã‚Œã„ã«è¡¨ç¤ºã™ã‚‹
yass 2014/11/24
s3

php

index
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Django Cloud Browser â€” Cloud Browser 0.5.4 documentation
Django Cloud BrowserÂ¶ Info A Django application browser for cloud (S3, Cloud Files) datastores. Author Ryan Roemer (http://github.com/ryan-roemer) Build Version Cloud Browser is a simple web-based object browser for cloud-based blob datastores. Just add as an application to a Django project, add some settings, and youâ€™ll be able to browse cloud containers and implied subdirectories, as well as vie
yass 2014/11/09
" Cloud Browser is a simple web-based object browser for cloud-based blob datastores. Just add as an application to a Django project, add some settings, and youâ€™ll be able to browse cloud containers and implied subdirectories, as well as view / download objects. "

s3

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Directory Listing in S3 Static Website
I have set up an S3 bucket to host static files. When using the website endpoint (http://.s3-website-us-east-1.amazon aws.com/): it forces me to set an index file. When the file isn't found, it throws an error instead of listing directory contents. When using the s3 endpoint (.s3.amazon aws.com): I get an XML listing of the files, but I need an HTML listing that users can click the link to the file.
yass 2014/11/08
s3

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S3 bucket listing thatâ€™s easier on the eyes
yass 2014/11/08
s3

javascript

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