Correct way to structure a page partial update
Hello,
I am using EMA Java application to post page based data, in the case which we are required to post an update to a page which starts somewhere in the middle of the column (e.g. row 1, column 10). What is the correct way to structure the code to achieve this? I noticed if given just a String then it posts it directly from column 0, which is incorrect in this case...
I am working on using a ByteBuffer to post the update, with some information which was reverse engineered from this article: https://developers.refinitiv.com/en/article-catalog/article/how-to-parse-page-based-data-using-elektron-sdk-java
However there is no example of doing this when creating the packet. Is the below correct? And is there any examples in java of doing what I am describing?
private static final char CHAR_CSI = 0x9B;
private static final char HPA = 0x60;
// 1 + 4 + 1 + 80 = Bytes Required for all data
ByteBuffer bbuf = ByteBuffer.allocate(86);
bbuf.putChar(CHAR_CSI);
bbuf.putInt(column);
bbuf.putChar(HPA);
bbuf.put(page.getText().getBytes());
Many thanks
Best Answer
-
The code should look like this:
ByteBuffer bbuf = ByteBuffer.allocate(8);
byte[] partial = {
27,//0x1B <CSI1>
91,//0x5B <CSI2>
49,48, //0x31 (1), 0x30 (0)
96,//0x60 <HPA>
65,//0x41 (A)
66,//0x42 (B)
67 //0x43 (C)
};
bbuf.put(partial);
bbuf.rewind();
fieldList.add(EmaFactory.createFieldEntry().buffer(215, bbuf));The raw buffer in the trace file looks like this:
<fieldEntry fieldId="215" data="1B5B 3130 6041 4243"/>
The output is:
0123456789ABC34567890123456789012345678901234567890123456789
1
Categories
- All Categories
- 6 AHS
- 37 Alpha
- 161 App Studio
- 4 Block Chain
- 4 Bot Platform
- 16 Connected Risk APIs
- 47 Data Fusion
- 30 Data Model Discovery
- 608 Datastream
- 1.3K DSS
- 577 Eikon COM
- 4.9K Eikon Data APIs
- 7 Electronic Trading
- Generic FIX
- 7 Local Bank Node API
- Trading API
- 2.7K Elektron
- 1.3K EMA
- 236 ETA
- 519 WebSocket API
- 33 FX Venues
- 10 FX Market Data
- 1 FX Post Trade
- 1 FX Trading - Matching
- 12 FX Trading – RFQ Maker
- 5 Intelligent Tagging
- 2 Legal One
- 20 Messenger Bot
- 2 Messenger Side by Side
- 9 ONESOURCE
- 7 Indirect Tax
- 59 Open Calais
- 264 Open PermID
- 39 Entity Search
- 2 Org ID
- PAM
- PAM - Logging
- 8.4K Private Comments
- 6 Product Insight
- Project Tracking
- ProView
- ProView Internal
- 20 RDMS
- 1.4K Refinitiv Data Platform
- 367 Refinitiv Data Platform Libraries
- 3 Refinitiv Due Diligence
- LSEG Due Diligence Portal API
- 3 Refinitiv Due Dilligence Centre
- Rose's Space
- 1.1K Screening
- 18 Qual-ID API
- 13 Screening Deployed
- 23 Screening Online
- 10 World-Check Customer Risk Screener
- 990 World-Check One
- 44 World-Check One Zero Footprint
- 45 Side by Side Integration API
- Test Space
- 3 Thomson One Smart
- 1.2K TR Internal
- Global Hackathon 2015
- 2 Specialists Who Code
- 10 TR Knowledge Graph
- 150 Transactions
- 142 REDI API
- 1.7K TREP APIs
- 4 CAT
- 21 DACS Station
- 117 Open DACS
- 1.1K RFA
- 103 UPA
- 172 TREP Infrastructure
- 224 TRKD
- 886 TRTH
- 5 Velocity Analytics
- 5 Wealth Management Web Services
- 59 Workspace SDK
- 9 Element Framework
- 5 Grid
- 13 World-Check Data File
- Yield Book Analytics
- 46 中文论坛